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Automated PR Code Reviews with AI

Krish Naik · 11,728 words · 54 min read

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0:03[Music]

0:14[Music]

0:35Hello everyone.

0:50Hello guys. I hope everybody is able to

0:53hear us. Still people are joining. Can

0:55you give me a quick? Yes. Hi everyone.

1:02Yes.

1:05So, okay, we'll wait for some time so

1:08that everybody is able to probably hear

1:11us.

1:25Yeah. Okay. So, Udemy, sir, Udemy coupon

1:29not working. Use August 03. Okay. So,

1:33you'll be able to see the Udemy coupon.

1:48So, how was the previous session guys?

1:50Everyone, I hope everybody's attending

1:52the session continuously, right?

2:01Yep.

2:10Okay.

2:21Okay. So I think uh just hit like

2:23everyone so that we start our session.

2:28uh we'll talk about the agenda today

2:30what we are going to cover and all right

2:32so as you all know that

2:35specifically auto automated PR code

2:38reviews with AI this is one of the most

2:41important thing that every developers

2:43will be specifically doing right uh with

2:45the help of n we will try to show you

2:47that how you can do this okay so from

2:51LinkedIn also I think everybody is live

2:54let me just go ahead and check it out

2:57quickly Okay.

3:04Yeah, we're good enough. Like people are

3:06able to see us. Great. Uh I was not able

3:09to attend the previous session. Do we

3:11have the video? Yes, in the live

3:12sessions you'll be able to see all the

3:14videos itself. Okay,

3:18great.

3:22Hi Kish, the rag boot camp Udemy are

3:24very very awesome. looking for end to

3:26end projects. Today only the end to end

3:27projects has been uploaded already. You

3:29can go ahead and see this PR code means

3:32pull request you know so we'll we'll

3:35talk about it as we go ahead you know

3:37you'll be able to see each and

3:38everything.

3:39Okay now before I proceed I really want

3:42to make a quick announcement uh we have

3:45a new upcoming batch which I think none

3:48of you should miss. So this is the batch

3:50details. Let me quickly show you. Uh

3:53this is the batch that we are coming up

3:55with a generative AI for everyone

3:57professionals and leaders. Okay. And uh

4:01the main aim of this specific batch is

4:03to talk about AI how you can use AI for

4:07every professionals out there. Everyone

4:08in short whether you are a student,

4:10freshers, you are a leader working in a

4:13specific company you can definitely go

4:16ahead and check out this specific

4:17course. Now this course is actually

4:19starting from September 14th, 2025 and

4:23uh this is 13th but uh I'll update this

4:25date to 14th and sessions will be on

4:28Saturday and Sunday 8:00 p.m. to 10 p.m.

4:31Along with this uh you know there are

4:33lot of things like who will be the

4:35instructor? Myself and May will be the

4:37instructor. Who is this course for?

4:39sales, marketing, HR leaders, consultant

4:41and entrepreneurs, operation managers,

4:44all leader, decision makers, product

4:46manager, technical professionals,

4:48everyone in short. Here uh what we are

4:50specifically going to master right all

4:52these specific tools you know here we

4:55are not going to focus more on coding

4:57but in understanding how AI can be used

4:59in developing applications that is what

5:01we are going to go ahead and cover up.

5:03If you go ahead and click on enroll now

5:05you'll be able to even see the detailed

5:07syllabus. So let me just go ahead and

5:09click on this.

5:11And once you click on this

5:33uh hello sir, I think you're not

5:35audible. Can you check once?

5:43Hello

5:44sir, I think uh you clicked the button

5:46on the mic mistake

5:48>> just now. Huh? It is

5:50>> or now it's now it's audible. So two 2

5:52minutes last we last we lost you like

5:55the voice only.

5:56>> Okay. Okay. Perfect. So now guys can you

5:59give me a quick confirmation if you're

6:00able to hear me out?

6:02>> Yes.

6:04Let me quickly check. Still not able to

6:06hear.

6:08Just give me a quick heads up. Yeah.

6:11>> Audible now. Audible now. Yeah.

6:14>> Okay. So, perfect. Uh so here you can

6:16actually see guys u we are launching

6:18this amazing batch that is called as

6:20generative AI for everyone professionals

6:22and leaders. Uh this batch is all about

6:26how you can use generative AI in your

6:30projects in your applications many

6:32things as such. You need not even have a

6:35coding background. That is our aim over

6:38here. So for everyone we are trying to

6:40make them understand. There is no

6:42prerequisite as such here. What we are

6:44focusing your on is that once you click

6:46on enroll now, right? So once you click

6:48on enroll now, you will be able to see

6:51this entire page. From this page, you'll

6:54be able to download the detailed

6:55syllabus. Okay? And if you have any

6:58questions, you can contact our

6:59counseling team. From this syllabus

7:02you'll be able to see that you have all

7:04the information out here. It is a 2 to

7:072.5 months program designed for

7:09technical and nontechnical professionals

7:10leader all across domain. Here what we

7:13are focusing on here we are easily

7:15focusing on no code AI tools that

7:18professionals and leaders can

7:20immediately apply to enhance

7:21productivity decision making workflow

7:23automation. You will master platform for

7:25content creation, data analysis,

7:26research and process. Each and

7:28everything we are going to cover with

7:30respect to the tools.

7:32The main aim is that how by using no

7:34code platform we are going to automate

7:36all the specific things right. So we

7:39will learn about generative AI basics,

7:41prompt engineering, no code automation,

7:42AI ethics and governance, data analysis

7:44with AI, AI workflow optimization, AI

7:48security basics and change management.

7:49Right? So all these things is basically

7:52getting covered up. You will be able to

7:55see that we will cover generative AI

7:57fundamentals, AI tools mastery,

7:59professional AI tools, no code

8:01automation, advanced techniques, AI

8:03workflow development and all. Right?

8:06Along with this, we have lot of projects

8:08that we have planned like how we are

8:10taking this specific project. This is

8:11just a basic project itself. Right?

8:13Similar this kind of projects we will be

8:16implementing as we go ahead. Okay. So as

8:19said all the information is already put

8:21up in the pinned comment. I hope

8:23everybody is able to see the pinned

8:25comment or not. Please do let me know.

8:28So if I go ahead and see over here you

8:31should be able to see I have put the

8:34link over here and I will also make it

8:37pinned. Yeah. So it is pinned right. So

8:39if you go ahead and check it out you can

8:41check it out over here and you can even

8:43call our counseling team in case of any

8:45queries. Okay. So this was the quick

8:47announcement. Now it's time like if you

8:50have any kind of problems, any kind of

8:53questions, you can definitely uh ask us

8:56while we are teaching the live session.

8:58Okay. So everything is available. You

8:59can just go ahead and check it out. I've

9:01given the page link over there in the

9:02print comment itself. So now Mike, I

9:05think uh we can go ahead and make them

9:07understand what is the today's session.

9:09>> Yeah,

9:09>> sure sir. Sure. So cool. Everyone I

9:13think we can just start sharing my

9:14screen. Let me know if you face any

9:16issues or you're able to see the same

9:18properly.

9:20So let me just add the screen

9:28wait.

9:31So yeah everyone I hope uh okay now it

9:34should be visible right I hope the same

9:36is visible now. So this was the course I

9:38was talking about. I will share the link

9:39again as well so that all of you can

9:41easily access it right

9:44or you can reach out to our counseling

9:46team as well. The idea is that only and

9:48as I've said the major idea with which

9:49we are coming for this course is that

9:51even if you are someone that hey you

9:53don't know coding or hey I don't know

9:55coding rag or MCP but

10:01I want to use a okay so much like how we

10:05use things around us without having a

10:06in-depth knowledge but of course the

10:08same is still helpful and instead of

10:10going around and taking this particular

10:12path the whole aim is that we are able

10:15to teach you via these different

10:16different tools right that how exactly

10:18can you master these uh overall things

10:21right so that is the whole idea everyone

10:23and yes you can surely reach out

10:25understand AI and what's happening

10:26without coding or technical jarens so we

10:28will be telling you how you can uh use

10:30MCP use rag use AI into different

10:32different everyday tools right we will

10:35try and help you to automate all your

10:36tools okay so you will see that how by

10:39the end of this course you will be

10:40saving a lots of time because we will

10:42make sure that many things which you're

10:44using be telegram slack WhatsApp app,

10:46Google Sheets, Google Drive, then

10:48GitHub, right? All these things we will

10:50help you to easily easily just make sure

10:52that you can automate them. Okay? And

10:54for sure if you easily just follow the

10:56course every week, you will be able to

10:58save 15 hours for sure because we will

11:01be automating your email, your most of

11:03the work, anything which requires just

11:05your little bit oversight and see that

11:07how AI is kind of getting entered into

11:09each and every of these things, right?

11:11So yes, Shahul, we will be using Tableau

11:13as well. So yeah that will be used for a

11:15research based agent. Okay and of course

11:17the basics will also be explained. Okay.

11:19So with that everyone now let's move

11:20forward and today what we are going to

11:22do the overall aim for today is that we

11:26will be now creating a GitHub PR uh

11:30automated automation agent right so

11:33pretty sure that most of you will be

11:34aware about GitHub. So this is the

11:36GitHub platform right in which we can

11:38have different different projects. So I

11:40can show you let's say one of my

11:42projects which uh we have worked on

11:45right. So this is again just some

11:46project which I have created for the

11:48purpose of demo. Now whenever someone

11:51adds a change right so in a company what

11:54happen is that whenever there is a

11:56change which is getting added into the

11:58codebase. So let's say we want to make

12:01it a little bit better in terms of

12:02logic. We want to have some new endpoint

12:04added right then you can just easily

12:08add. So this is just a fast API example.

12:10Now you can add your endpoint. You can

12:12make sure that you are easily able to

12:14use the same. So the idea becomes that

12:16how can I right how can I then automate

12:20any issues or anything is there. So just

12:22I would like to show you a quick

12:23example. Let's say I create a new

12:26repository here with change. Okay.

12:30And in this I just go and I go to main

12:35and I just change it. Right. So let me

12:37edit the same. I'm doing directly

12:39everything on GitHub only so that it is

12:40very easy for you to follow. Now let me

12:43copy this and let me paste it. And let's

12:46say I make a new overall endpoint

12:49available which is V1. And I am also

12:52doing some issues here. I'm making some

12:54changes. Return

12:56uh yes. Right.

12:59And let me just commit these changes.

13:01Okay. So update changes. I can just say

13:04new end point

13:07end point added right. So let me commit

13:10it. Now in a company setting whenever

13:13multiple people are working so of course

13:15there will be different different users

13:17which are working. Right? So on a

13:18particular code base there can be

13:20different different people who are

13:22working and can make the changes. So

13:24let's say it's a team of four where you

13:27are a manager or you are someone who is

13:29in responsibility of handling that how

13:31exactly the changes and everything is

13:33happening. So in that setting what we

13:35want to do everyone

13:38this change which happens. So let me get

13:40the GitHub icon as well. I think it was

13:42available

13:44or some codebase icon. Okay no worries.

13:46So I can just get yeah this is the one

13:48right

13:51whenever someone get this let's say your

13:54codebase so people will have your

13:55codebase and on top of that code base

13:59one can make a change now whenever

14:01someone makes a change

14:04just like how we have updates in our

14:06application and everything we can or

14:09someone will have to review the change

14:10so that it doesn't fail anything right

14:12it doesn't fail your whole codebase and

14:15for that only what we do is I can now go

14:18back to my repo and I can show you that

14:20we can just compare and create a pull

14:22request. Okay, so let me just create

14:24this pull request which is what is known

14:25as PR. Okay. Now this PR as you can see

14:32it has some changes right. I can see

14:34that okay these are the changes. Now

14:37typically what used to happen everyone

14:39is that I as a developer I will come and

14:41I will see that okay what are the

14:44changes are they good or bad. So for

14:45example I will be telling that hey uh

14:48maybe you could have used some other

14:49name for this messages v1 and messages

14:52is a little bit uh confusing right? So

14:55we already have this messages. Then why

14:57is this yes here? I think this can be

14:59avoided. Right? Then we could have added

15:02some documentation here as well. Right?

15:04So those are the different different

15:05kind of changes which we can have here.

15:08Okay? So with respect to that what

15:11happened either you will be spending

15:13your time in making sure of this two and

15:16fro between. So let's say this is the

15:17user one who got your codebase right. So

15:20I will have this user. He got your

15:23codebase and he made the change. Now you

15:25being a manager, let's say you being a

15:28manager, let me just copy this

15:31from here. And you are the manager here

15:34or let's say tech lead. You will be

15:37telling that hey please do this change.

15:40Please make sure that you handle this so

15:42that this doesn't break. In that way

15:44what we are trying to do we are trying

15:46to now make the manager work easy or

15:48overall the team work easy altogether

15:50that hey all these changes they can just

15:52get a prevet by AI where it will be able

15:55to tell that what exactly are the things

15:58which you need to handle. Okay. So AI

16:01only will be telling the basic level of

16:02changes, it will be checking the logic.

16:04Most of the I would say 80% of the

16:06things AI can directly help you to do

16:08here and you will be pretty good to

16:10easily just uh then make sure that you

16:12do those changes and easy just then move

16:15forward and make make sure that you are

16:18focusing on the major changes there. Now

16:21the same is very very helpful like we

16:23use the same into our startup as well

16:24where it has been integrated and for the

16:27first year second year or at least the

16:28intern it helps me to save a lot of time

16:31earlier I have to go and see each and

16:33every file I have to add my commits for

16:36the basics of the changes as well I have

16:38to do those things now the same all has

16:40been automated right and a very very

16:42good product on the same thing uh I'm

16:44not sure how many of you must have heard

16:45of it so there's a code rabbit right

16:48which is a pretty good similar kind of a

16:50AI code reviews. So they have created a

16:52whole uh thing here, right? So if you

16:54will see what code rabbit does is

16:56exactly the same thing, right? It kind

16:58of a PR is created. It adds that hey

17:01what all is the difference here. So they

17:03are selling it right. It's a pretty good

17:05thing. Uh they are selling the same as

17:06you can see for prices and it does the

17:09similar kind of a thing. Of course with

17:10a lots of uh training lots of better

17:13approach it is able to do those things

17:15and it will be adding the similar kind

17:17of comments. So this same thing we are

17:18trying to now make sure that we can do

17:20into our workflow. Okay. So that's the

17:23whole plan and this is the problem which

17:25we are solving everyone that whatever

17:28changes happen and I can maybe just have

17:30a another icon right so that you can

17:34understand it pretty nicely. So let's

17:36say whatever code I am having here,

17:38whatever code I'm having. Now whenever

17:41this code changes, so if this is

17:44v_sub_1, then I can just have another of

17:48this file which will be v_sub_2.

17:51I say that this is my PR getting

17:55generated. So in the technical sense, it

17:57creates a PR, right? in the technical

18:00sense it will be creating a PR

18:03and I have to make sure that I can just

18:07handle all the changes everything into

18:09this PR. So let's see how we will be

18:11automating the same with the power of

18:13AI. Now doing this without any uh no

18:17tools or with uh code is also possible

18:20but that is a very very difficult

18:21process right and this is how we are

18:23going to uh the problem is now clear now

18:26we will see that how easily we can just

18:28integrate and use the same okay so yeah

18:31that was the problem everyone anyone has

18:33any issues anything which is not clear

18:34let me know in the chat and one more

18:37thing so I was just trying out one very

18:38very new thing how many of you are aware

18:40about uh Google uh this thing Google

18:43Nano Banana

18:46I'm working on the same as you can see.

18:48So it has created few of my images from

18:50a single image. This is me in 1990s.

18:54This is me in 2000s I guess. This is me

18:56in 1970s. So this is pretty funny

18:59though, right? And uh this is me with uh

19:03Okay, let me show you. So let me know if

19:06you would like a video here as well. And

19:09as you can see this is me.

19:13Okay, let it load. So meanwhile you can

19:15tell me if any issues are there in the

19:17understanding or and I will show you

19:19that. Okay, see this is me with Elon

19:21Musk and Jeff Bezos. So this is me with

19:24Jeff Bezos on Amazon and this is me with

19:28me with Jeff Bezos and Elon Musk. Okay,

19:32so I hope you like this as well. We will

19:34surely be going and seeing this. So

19:35we'll be uploading the video for the

19:37same in on my channel for upcoming days

19:39and how you can use this into your

19:41application. So this can be a very very

19:42big business opportunity right. I could

19:45just easily now say uh

19:49can you make the middle guy

19:53wear a leather jacket and let's see okay

20:00so along with how you can use it here I

20:02will be showing that how can you use the

20:03in the code but in meanwhile do tell me

20:05if this use case or the problem

20:07statement is clear everyone then we can

20:08move forward with this right

20:13so hopefully it will help me wear a

20:15jacket

20:16so that I also look a little cool with

20:19Jeff Bezos and Elon Musk and yeah anyone

20:22has any problem now in the in this

20:24particular

20:26use case which we have discussed

20:28so let it generate meanwhile

20:37see

20:38right

20:40cool so video will be dropping on my

20:42channel soon I think by tomorrow let's

20:44get back and see the same so the idea as

20:48I said will be that we are able to use

20:50it directly we are able to create a

20:51workflow in which we are going to

20:53automate this okay

20:56tell very quickly everyone if there is

20:57any issues anything is just not clear

20:59and I shall help you with that

21:04any other doubt as well we can discuss

21:06because please stick with the topic so

21:08def coder I'm asking the doubts

21:10meanwhile I'm showing this I'm on the

21:11topic only you see this this is the

21:13topic Right? You should know about the

21:16AI updates.

21:19Do we have a job out there for no code

21:21tools that we will learn in this course?

21:22Uh Raj, uh many companies are now kind

21:25of reaching out. They are looking for

21:26people who can help you automate. We'll

21:28just give you an example. So I was

21:30recently reached out with a company and

21:32they wanted that these tools can help

21:34them just switch from their previous

21:36automation tools which are inhouse

21:38because they are having a good support

21:40of AI. So again if you think that okay

21:42just by learning a tool you will be able

21:44to get that might even not the case but

21:46yes if you are in let's say non techch

21:47and you learn these tools your use case

21:48will be better and you will be able to

21:49do things better and yes there's an

21:51opening for people who understand these

21:53things right same for tech as well so

21:56companies are looking forward and

21:57majorly in starters etc if you can

21:59create and explain these workflow easily

22:02create with a common use case then sure

22:03the same will be very helpful okay

22:08clear everyone

22:17Great. Uh I cannot automate the capture

22:20to bypass capture for scraping data. Is

22:22AI help? Uh defcoder I think you will

22:24have to explain this a little better.

22:25Like if you want to just uh get through

22:27the capture if it's a single uh let's

22:30say image related capture you can use

22:32AI. Otherwise it might be difficult

22:34because now those captures are also

22:36getting a lot smarter because again

22:38that's the case with the right

22:42for any coupon related thing anything

22:44which is not clear please reach out to

22:46the number so that shall be helpful okay

22:52great so since uh everything is clear

22:55and we have understood the problem

22:56statement in depth let's now see how we

22:58will be doing it. So for the same again

23:01we are going to use a no code tool. Now

23:04again there are many many no code tools

23:06in the market like NA10 make relay

23:08Microsoft power automate Zapier the one

23:11we are going to use is NA10 and I think

23:14that all of you have been following the

23:16previous videos as well and know why

23:18this is very powerful and very useful

23:20right so for this let's go to any now

23:23you could easily just go and click on

23:24this get started I will share the link

23:26with all of you so you create the

23:29account the workflow which we will be

23:32using here right everyone is already

23:35been uploaded so I think uh the team

23:38will share that from where you can

23:39download the workflow so to make sure

23:41that each and every one of you are able

23:43to follow the same easily we have made

23:45sure that we already upload the uh

23:47workflow pre-created so this is going to

23:50be our workflow let me show that uh one

23:53minute

23:56so I can just create new workflow

24:02and I will show you that what exactly we

24:04are going to do there. Okay.

24:06So 1 minute.

24:11Yeah. Uh okay. Yeah. I think this is

24:15going to be the workflow everyone which

24:16we are going to use today

24:19right and I will walk you through each

24:21and every of these steps. So since you

24:22will have the workflow already I think

24:24the same will be very very easy to

24:26follow.

24:36anything meanwhile

24:39I will just share that from where you

24:40can download this particular workflow.

24:42So if you will go and

24:45let's say just enroll onto the free

24:48course there we have uploaded so as

24:51there is a single place where all these

24:53different different workflows are

24:54present. Okay so I will just show you

24:55quickly where exactly the same is.

25:01Okay, one minute. I think I copied a

25:04different link.

25:16Okay.

25:29One minute everyone. So just let me get

25:31this link so I can share with all of

25:32you. Yeah. So this is the link everyone

25:35which I'm sharing. If you will enroll

25:37for free on this course, you will see

25:38the previous videos and everything as

25:40well. Okay. So sharing this with all of

25:43you.

25:49Great. So now let's move forward. Now

25:51this particular workflow actually it is

25:54a part of an already like it is actually

25:58in the templates of any right so if I

26:01will go on GitHub and let's say if I

26:04search here you will find the template

26:06but I will tell you what exactly is the

26:08problem there. So if we go on GitHub and

26:10let's say we choose PR review.

26:16So this is again an awesome template

26:18like the same template which has been

26:19given but this particular template is

26:21having a problem. I will show you that

26:23quickly so that you don't fall for this

26:25uh issue. I think they it got uh a

26:28problem because of the new uh updates.

26:32Now when you use this pre-created

26:34template right when you use this

26:36pre-created template and let's say when

26:39you just try to execute this I will

26:41quickly add my credentials etc. So pay

26:44attention here everyone what we have to

26:46do we will be now authenticating right.

26:49So this NAN NAN we will be connecting

26:52with our GitHub just like how we do it

26:54for other different different

26:55applications we have a GitHub account

26:57right and in this GitHub account we will

27:00be now using NA10. So there needs to be

27:05this connection via which we can easily

27:09make sure that N8 has access to each and

27:13everything on my GitHub. Now for the

27:16same it provides a direct connection

27:18where we will be using OOTH2

27:21authorization right. So let me just

27:23write it like this and we will be

27:25creating a connection like this. For

27:27this it is asking for a OOTH2

27:29connection. We could have done the same

27:31via access token as well but normally I

27:34think we all know that how OOTH2 is a

27:36little bit easier to do right ooth 2 is

27:38a way way way easier to do so. So for

27:41that let's just go to ooth 2. Now if you

27:44will just click on connect my account

27:46make sure that you are already logged

27:48into GitHub right? So if I will go onto

27:50this browser on github.com

27:54then you will see that how my account

27:55the one which I want to connect is

27:57already open. So this is my account

27:59everyone as you can see my photo here

28:01right. So once we have the GitHub uh

28:04logged in just go to the workflow again

28:07and just click on connect my account.

28:09Once you click on connect my account it

28:12will try to open and it is showing that

28:13connection is successful. It will just

28:15ask you few things right. So what I can

28:18do let me go back. Let me go back. Let

28:22me show you by creating another

28:23credentials. This time let me click

28:25connect my account

28:27and okay so let me delete I think I've

28:30already connected this thing so I can go

28:33on

28:34apps so

28:37your repository settings

28:42applications so I can just easily see

28:44that how can we reduce this so

28:46integrations I think lovable is

28:48integrated

28:49and o side I have this any so let me

28:52remove this let me revoke

28:55so that we can reconnect and I can show

28:56you the same from scratch. Okay.

28:59Again uh this will be now invalid. So

29:02let me just create a credential again.

29:04This time when I click o to connect my

29:06account it will be the way you will see

29:08right. So let me click this. And now see

29:11you will see this kind of a window. N by

29:13N10 wants to access your may 953

29:16account. So my GitHub is

29:18github.com/mayank953.

29:20Now when I click on authorize and

29:23integration the same will just happen.

29:25Okay. So it's that simple

29:27and I can close this. Now the same has

29:30been authorized. Now once we have

29:32authorized this everyone I can just

29:34select the repository owner owner. So

29:36here you have to specify the name

29:38exactly right. So if I will write may

29:40953 then it will be able to pick that

29:43up. So it is just a open search box. It

29:45is not going to get it for you. And I

29:48can just click on this button now to see

29:51that yes my account is getting opened.

29:53Okay. So in that way you will be adding

29:55your username. So GitHub github.com/

29:58whatever your username is you will be

30:00adding that username so that you can

30:01easily connect. Okay. Now once that is

30:05done then next comes the repository. Now

30:08I am showing you all of these things

30:10with this NAT demo PR. NAN demo PR. So

30:14let's do one thing. Let me just go here

30:16again. Let me close this. Go here and

30:19search for NAN demo PR.

30:25And now when I try to execute this, you

30:29will see that some error is coming. So

30:30let me first resolve the outstanding

30:32issue. So let me disconnect this. I

30:34think this has been disconnected, right?

30:37Let me open this again. Now when I try

30:39to execute this, see it is showing you

30:41an error. Cannot read properties of

30:43undefined reading HTTP code. Okay. So

30:47what I wanted to show you was this only

30:50that this particular

30:52uh workflow or template which is present

30:55that is the template which we are also

30:56trying to use but the same doesn't work

31:00and the reason that it doesn't work you

31:02can see right on your screen that how it

31:04gives you this error. Okay, it gives you

31:06this particular error. So for the same I

31:09want that you download the workflow by

31:12uh which I have provided to you so that

31:14you don't face this error when you

31:15directly try to launch from the overall

31:18uh let's say this uh this template.

31:21Okay. Now if I show you the one which I

31:23have given. So let me connect my account

31:25again.

31:27I think it will be able to connect

31:29easily. Yeah. So now let me go back and

31:32this time I'll run this. Let's see

31:35problem. Okay. Let me resolve the

31:36outstanding issues. I think I will have

31:38to disconnect this. So let now open it

31:41and let me see.

31:44So okay I think here as well we are

31:45having this issue. Let me quickly check

31:47everyone what exactly we have to fix

31:49here.

31:50Right.

31:52So

31:54I will just make sure that I can

31:58get the one which you all have shared

31:59because that is totally working without

32:01any problem.

32:03So this is the one I guess right and

32:07what I can do here I can just do one

32:10quick thing. Delete this one and go

32:13here. Sorry for GitHub and add a trigger

32:17on a pull request. So this trigger is

32:20the one which we have to add and I can

32:23load it here or delete for the timing.

32:26Now let me do one thing. Let me this is

32:28connected. Let me again add may 953.

32:32So this is the one and n demo

32:37PR and now when we execute

32:41okay this I think has been saved now let

32:43me execute it again

32:46cannot read properties okay let us fix

32:48this thing meanwhile uh we see this

32:50everyone I hope all of you are getting

32:52this error let's see that if you have

32:54any doubts let me uh tell me please if

32:55you have any doubts whatsoever

33:02So workflow file uh nimad will be there.

33:04It will be I think uploaded with a g uh

33:07with this link right with a overall

33:11uh drive link. So drive.google link. It

33:13will be uploaded there. You can just

33:15check it quickly.

33:33Tell me are you able to uh come to this

33:36point and face this issue? What exactly

33:37is happening? Because I think everything

33:39is given to you already.

33:43How to go with level as codebases

33:45shared? So Jag again uh if you are

33:48having the authorize code base you will

33:50just need to connect that to any okay

33:51but your enterprise may have okay it may

33:54have some way some let's say things

33:58where you cannot connect to it right you

34:01uh so and uh J what happen is that it

34:04has an access to your private

34:06repositories as well so nothing will be

34:08there on the open okay so that should

34:09not be the case in that way you can it

34:12is all safe because you can just have a

34:14private repository So it should not be

34:16out. Okay, that should not be the

34:18problem. So that way it is safe. That

34:20should not be a problem.

34:34Tell me everyone are you able to follow

34:36easily? Are you getting this error?

34:41The workflow is there. I have just

34:42checked uh in the setup as well. Let me

34:45quickly just add it.

34:48I see the workflow resource where it is

34:52there. Let me just add it again so that

34:55you can uh use it. Right.

35:10Cool. So everyone just check it again. I

35:12think I have added the same. Shall be

35:14fine now. Just check and let me know.

35:17And also let me know if you're facing

35:18any issue. I want that. Okay. V this

35:20live you all are also doing the same

35:21with me. Right. I don't want to just do

35:23it uh like myself. I already have done

35:27this. But N should be a third party

35:29tool. Uh well J for that what you can do

35:32is you can self-host. So Nin can be

35:34self-hosted inside your uh thing. So any

35:38self host

35:40right if you host it inside your

35:43company's uh let's say VPS or anything

35:47then I think it will be all good right

35:49so easily that can be done

35:55cool everyone I hope that all is good

36:24Tell me in the chat quickly

36:27as you said the live we are doing so

36:29that all of you can follow right

36:31>> mind do you have that workflow link the

36:33materials people are asking for it

36:36>> uh what sir

36:38>> the materials uh people are asking for

36:40it I'll add

36:40>> yeah so sir that has uh that has been

36:43already added in the dashboard via drive

36:44link so I think each and every one of

36:46them should be able to access it.

36:48>> No, no, no. Actually, uh you just send

36:50me that link once. I will upload it.

36:52>> One minute. 1 minute

36:57shared. So, I have shared the link.

37:06Okay. I think the same. So, yeah.

37:10>> Cool everyone. So, we have done this. Uh

37:11let me know if you are facing any issues

37:14so that we can move forward with this.

37:16And yes, for people who are asking, we

37:17can easily host self-hosted nit like

37:20onto our own architecture infrastructure

37:22sorry. So that should not be a problem.

37:23Okay,

37:28let me know if you're able to get the

37:29workflow. I want everyone to follow

37:31alongside with me and in few seconds you

37:33will see that how nicely we're able to

37:34do all these things.

37:51Meanwhile, if anyone has any question,

37:53they can ask the same regarding course,

37:54regarding AI in general, regarding

37:56anything. If you want to have my

37:58orchestr views or anything, we will be

38:00happy to clear that

38:21workflow. So I think yeah people are

38:22able to get the workflow.

38:28importance of genai nowadays. Uh I think

38:31AFK a lot. The reason is that no matter

38:34in which field are you in jai is a kind

38:37of a skill which is sought after plus if

38:39you know how to use it. Now I know that

38:40many people might be thinking of these

38:42no code tools and everything maybe as

38:44like okay they're not useful and

38:45everything but believe me I personally

38:47have seen that if you use the same you

38:48are able to save a lots of time plus you

38:50can generally automate a lots of things

38:52right. So that is the case and yes in

38:55that note it is very very useful.

39:03Great everyone. So

39:05I think we all can move forward. Now

39:08once you click on this you see that how

39:10we are getting this error. Right now

39:12this is actually one of the error which

39:14have been introduced again in a similar

39:17manner that someone must have put up a

39:19change. Right? Right. So I'm just

39:21searching it on Google and someone must

39:22have put up a change into the enit

39:24codebase just like how we are discussing

39:26about a PR related change. Right? And

39:29actually this error got induced. Okay.

39:30So you can see kit trigger cannot read

39:32properties of undefined reading HTTP

39:34code. So if you are a forum kind of a

39:36guy who can read through this the way I

39:38read through this and was able to solve

39:39this error. Uh you will be good. But if

39:42not then of course I am the person who

39:44can help you with this. Right. Right. So

39:46there again they are saying that hey uh

39:48some issue is there so how to solve it

39:50everything. Now they have created a pull

39:53request for this. If you will see they

39:55have created a GitHub issue for this

39:57where also they are having a pull

39:59request. So you can see the pull request

40:01here and the same thing which we are

40:03kind of trying to do error HTTP code

40:05they did this changes and I think in

40:08that something changed. Okay. So that is

40:10the whole problem and yes that is the

40:13reason which by which we are also

40:15focusing on how can we use the same uh

40:17properly. So now what we will do

40:19everyone pay attention. So let me close

40:21this. Let's go back right. Let me just

40:25leave this. Let's go back and I'm going

40:29to save this workflow. So you will be

40:31easily able to get this particular

40:32workflow via the JSON which we have

40:34uploaded. Now I'm going to create a new

40:37workflow. So pay attention. I'm going to

40:38create a new workflow.

40:41Now once you create this new workflow

40:43here do GitHub and in this search for

40:48pull request. So on pull request. Now we

40:52will try to do the authentication again.

40:54So just do the authentication again on

40:56this new sheet. Just make sure that you

40:58properly do this. So this has been

40:59authenticated now. Now what I will do

41:02pay attention. So now I will again

41:04select myself. So mayank 953,

41:08right?

41:10May 953 N8N.

41:15So what was this exactly? N8N demo PR.

41:19And now when I click this, let's try.

41:22See this time it is listening right? It

41:24is not giving me that error. It is

41:25saying that hey I am listening for test

41:27event. The second you create a PR now

41:31that error has been kind of handled

41:33where it will be now checking that okay

41:35so I was able to understand the same

41:37while going through this particular PR

41:39and everything but for our use case I

41:41think we are pretty good so what I can

41:43do I can just go back and I will just

41:45quickly create a new PR so just uh pay

41:48attention okay I would just like to

41:50create a new pull request let's say I

41:52create a new pull request

41:55that pull request will be base will be

41:57again and I can maybe let's say select

42:00the PR example. Okay, let me now create

42:04a P uh PR. I think okay, this has

42:06already been created. Let me try to

42:09close this pull request.

42:11I just want to show you by creating one

42:13that how exactly our NAT will be able to

42:15catch that PR. Okay, so I will select PR

42:17example. I will create a pull request.

42:21Now once I create this pull request it

42:23will send a signal to my N10 that hey

42:26something happened and what was that

42:28something that something was this thing

42:30that it is able to now easily get the

42:32details. Okay so many many details it is

42:34able to get and this is what we want to

42:36use. Okay. So that is exactly how why we

42:40need to make sure that we are able to

42:42solve it. And the way to solve it,

42:44right? The way to use GitHub trigger in

42:46nitin uh till they solve it is in this

42:50manner only. Now what I can do I can

42:52just go back right I can just open the

42:55full workflow again the one which I've

42:57given you and I will be now just copying

43:00the other nodes. So let me create

43:02another new one. Let me create new one.

43:05new workflow.

43:07Now this workflow gets created. I will

43:10just open. So the file which you are

43:12getting you can import from file or you

43:14can just copy paste that file here like

43:16this. Okay. Now once I have copy paste

43:19uh copy and got the file what I will do

43:20I will just delete uh this particular

43:22thing. So I will delete this faulty node

43:25in the workflow and I will just copy all

43:28of them. So let me copy them go back and

43:31the best part is that you can generally

43:33just copy paste it like this. So see the

43:35whole thing is now together right I'm

43:37able to get each and everything I will

43:39just move them and connect it with my

43:44this particular flow thus making the

43:46overall

43:50now we to fix.

43:59So when the file difference which need

44:02to be worked upon then create target

44:04prompts for PR differences. So here we

44:06are just setting the prompt. Okay that

44:08what exactly do we want it to have. So

44:10for example here again some code is

44:12there you can just move forward and we

44:15can see you are a senior Python

44:17developer. Please review the following

44:18code changes in the files. We will get

44:20the differences. Once we get the

44:22differences then we can just discuss on

44:24the missions. Review the proposed code

44:25changes by file and by significant

44:27modification. Generate inline commands.

44:30Ignore file without patches. Do not

44:32repeat the code snippet or the file

44:33name. Write the command directly without

44:35introducing the context. Okay. So with

44:38that now once we have done this then we

44:40will move forward with this agent. So

44:41this is an AI agent everyone which we

44:44will be using and it will be having a

44:46brain of its own. So in this we can

44:49easily just let's say use and claim this

44:51free credits. So when you create a new

44:53entit account, you can just claim these

44:56credits or if you want you could just

44:58maybe use any other model totally on

45:01you. You can use a Gemini model, you can

45:03use anything totally on you. Okay. So I

45:05have just claimed this free credits and

45:07I am selecting GPT 40 from this. Uh so

45:10let me get GPT4 mini now. Okay. So these

45:13are the models which are available.

45:16Then we will ask or since we are

45:18connected with GitHub we will try to add

45:21back whatever changes the AI is

45:23suggesting the agent is suggesting back

45:25to our overall PR. Okay. So that is

45:27going to be the flow. Now so everyone

45:30tell me now are you able to follow this

45:31properly? I think this is a valid use

45:34case. Each and every one of you shall be

45:35able to do the same. Right.

45:38Let me know if you have any doubts if

45:40anything is not clear.

45:48Grock is also supported foder. So you

45:50just let's say I delete this particular

45:53uh connection. Go here select gro and we

45:58can get the gro chat model. So see that

46:00easy again from the credential go and

46:02create a new credential. Add your key

46:05and yes I think we all are good here.

46:08I will just check if I have the key

46:10here. So let me just check with my key.

46:14save

46:15and seems like the same is working. So

46:17now since this is working everyone I

46:20could just select any of the models

46:21totally for free as well right so the

46:23gro open router all of these are

46:25supported so you don't need to have that

46:26but I think the best part is that how

46:28nit also gives you these free credits

46:30right

46:34so I will stay with openai

46:39great

46:46any doubt anyone Let me know quickly in

46:47the chat if anything is not clear. I

46:49will help you to quickly clear the same.

46:51Again, it's a very very helpful use

46:52case. You can surely just implement the

46:55same in your company and believe me,

46:56your company's going to be very happy.

46:58If I would have had this uh lots of

47:00time, two years back must have been

47:02saved in my life. Okay,

47:08let me close this and just zoom in.

47:17Great. So now since the whole workflow

47:19is clear, okay, what we will be doing

47:21everyone, we will now just try to

47:24understand and just execute this

47:27workflows one by one. So this is a API

47:30which GitHub provides where we can get

47:33via the PR that okay what exactly is the

47:36difference between the files. So let me

47:39uh just end click this and in the table

47:42or let's say via schema only we can

47:44understand that okay this is an awesome

47:46repository regarding any tutorial for

47:48GitHub. Now if I go back to my GitHub

47:51and if I go back to my file changes you

47:54can see that this is something which I

47:55have added in my readme right so readme

47:58+ one. Now if I again go back to my

48:01workflow right this has got all the

48:04files. Now next is create target prompt.

48:08So this code will just try to

48:10understand. Uh for the timing if you

48:12don't understand this code should not be

48:13a problem. Let me just execute this. We

48:16have just given it some prompt and just

48:17asking that hey this is the user

48:19message. You are a senior Python

48:21developer. Please review the following

48:22code changes in the files. So I can show

48:24you the same in JSON. This is the file

48:27which is readme.md. The difference is

48:29this create this is an awesome

48:32repository regarding this and your

48:33mission is already given. Okay,

48:37now I will go to the next one which is

48:39the AI agent. I will just execute this

48:42right. Let's me execute this and this

48:45agent will take up this user message and

48:47tell me that okay what exactly are the

48:48changes which is suggest. So it say it

48:50is saying this message is a good start

48:52but it could be improved by adding more

48:54details. Consider mentioning what N10 is

48:56how this repository can benefit users

48:58including installation instruction or a

49:00brief overtime. Now if you want you can

49:03just give it some more information here

49:05that hey this repository has to do with

49:07fast AI not with MCP. Uh please make

49:10sure that you are properly giving the

49:12same inpoints. So let me just give it

49:13you are a helpful assistant. Please give

49:16your

49:18analysis in points

49:22the repository

49:24has to do with

49:27fast API. Now when I execute this, see

49:31how the output will change because we

49:32have told our agent that hey something

49:34is different. See the read me file is

49:36newly created and provide bc description

49:38description mentioned this which may not

49:40accurately reflect the content if the

49:41repository is primarily about fast API.

49:44Consider updating the description to

49:46better represent the project. Okay. Now

49:49since we have done this let me move

49:50forward and now it is not able to get

49:53this. So let me fix this. We can just go

49:55back and change this to PR review.

49:59The reason was that in the original

50:01workflow so this was PR trigger not PR

50:04review. So let me fix this. Okay let's

50:07go back and let me rename it. So I can

50:10just press space and rename the same PR

50:12trigger.

50:13Now see this has become green because it

50:15is able to get this particular thing.

50:17Now when execute this let's see it is

50:20able to get all the information. It is

50:21able to get the body as well. If I go

50:23into my PR let me go in here. I think

50:26nothing has been done till now. Now when

50:29we go back onto our workflow then the

50:32last one is the add label to PR. In here

50:36when we click this

50:38as we can see this has done the same.

50:41And when I go back to my PR and let's

50:43say refresh this

50:47uh 1 minute I think it was the different

50:49PR. Let me check which PR it was. So

50:52create readme

50:55no conflict commits

50:58files changed this is the file which has

51:00been changed

51:02let's check have we missed out this

51:04thing where exactly it is supposed to do

51:06so let's go back my 953 in our demo PR

51:13so where exactly it has missed it out

51:14everyone let's see the same or let me do

51:17one thing let me just create a let me

51:20just now since we have understood the

51:22workflow. Let me execute this workflow.

51:24So it is not waiting for the trigger

51:25event. Let me go back. Let me go back to

51:29my main

51:31create a new PR change here. So I can I

51:34will just create a new PR with changes.

51:38Okay.

51:40In this PR I will just quickly go and

51:43let's say I will just add a readme here

51:44only. Okay. This is an awesome repo for

51:50N8 changes.

51:52Now when I commit this changes, I can

51:54commit this changes

51:57and I can go back and create a new PR.

52:00So if I just show you, let's say if I

52:03just select 1 minute. So what I can do,

52:07I can just select this try vertically.

52:12So let me execute this. So it listens to

52:15this. See it is waiting for the trigger

52:17event. Let me compare and pull request

52:19right. I will just create this PR and

52:22pay attention. Uh I can actually make it

52:24active from here. So pay attention. I

52:25can just make it active from here. Once

52:27I make it active, right? Then it will be

52:31listening. So it will be just listening.

52:33And if I create a pull request,

52:36so the pull request has been created.

52:38Now when we go to execution, we will see

52:41that how an execution has started. So

52:43this execution is running everyone and

52:45see how quickly it has just added. This

52:47line introduces a new readme which is

52:49crucial. Additionally line introduce a

52:52description of the repository. However,

52:53it lacks the detail and this is exactly

52:56what was given out right. So if you see

52:57here this line introduces a new readme.

53:00It is easily able to now just add it

53:02that quickly. So I hope you are all able

53:04to understand. I think it got uh k up

53:06two times but that should be fine. We

53:08can check why it happens. But yes, as

53:10soon as I create a PR, it is showing me

53:12that okay, what exactly happened, right?

53:14So that is the full benefit.

53:17Now to make it a little bit more better,

53:21what we can do, pay attention again. I

53:23can go to my repository.

53:26Let me know if anyone has any doubts

53:27now. Let me meanwhile take the doubts.

53:33Can you click on the GitHub trigger node

53:35again? I can surely do that. If I just

53:37go outside, I can go on editor and in

53:39here this is the GitHub trigger node.

53:41Okay, everyone see I've just done the

53:43authorization. Uh just make sure that

53:45you start this up in the new one. Okay,

53:47not take that overall uh

53:51example just that will company allow to

53:54use uh n if you learn about how to use n

53:57on a self-hosted infrastructure which is

53:59very very easy via the docker image. I

54:01think right now companies can easily

54:03allow that because again nothing is

54:04going outside from that right. So if

54:06you're and you can generally use AI

54:08which is local hosted as well. So let me

54:10know if you want a video on that and I

54:11will help you with this. Okay.

54:14Can someone pursue career in ji or agent

54:17by only learning this no code way? What

54:18career option might be open for an

54:20individual if the course is taken or

54:21knowing anything? So rupajjit I will be

54:24telling this from an experience of mine

54:26like it started from a technical

54:27perspective.

54:29If you only understand this uh no code

54:32thing and let's say you want to go

54:33through the technical field then it

54:35might be very difficult that said if you

54:37want to now using these tools if you

54:39want to now go into the nontechnical or

54:42semi-technical field that might be still

54:43doable so proper tech I think it will be

54:46a problem because somewhere or the other

54:48you might have to go beyond by coding

54:51right so let's say if you're in sales HR

54:53marketing if you are even let's say

54:55leading a team after 10 plus years where

54:57you don't code but you need to

54:59understand that okay what exactly are

55:01these different different concepts then

55:03the same can be helpful not the other

55:04way around okay

55:07especially in companies like JP Morgan

55:09etc. So again techos I think I know from

55:11where you are coming from Goldman Sachs

55:13where I have worked that was also very

55:14very particular about what exactly are

55:17they using but I believe that if you can

55:20host and show them via their infra and

55:23show that why the same is useful how the

55:25data is not leaving onto a locally

55:28hosted AI then I think they should not

55:31be a problem but your presentation your

55:33way should be like your overall

55:34confidence should be very high like for

55:36example if I have to convince my

55:38managers Now I think I could easily do

55:40that right I could easily easily do that

55:42thing because I know that how it can be

55:46hosted by using a simple uh own AI so

55:50with that knowledge I think I can now do

55:52that but of course uh if you don't have

55:54that then it will be a problem so

55:56showing that how data is not leaving

55:58everything is locally hosted how it is

56:00very helpful it can help to do so many

56:02things then it will be better because

56:04doing the same via code that can be a

56:06problem can I create AI tutor Which kind

56:09of audi zahu pink zahu

56:27great so meanwhile this uh comes now let

56:29me just show you the best example of

56:31this let's say this particular thing is

56:33still happening what we nor do is like I

56:36will be working on this code base so let

56:38me go to main and I will be doing the

56:40same via some VS code on IntelliJ but I

56:42can create let's say may changes as my

56:46new branch.

56:49Now in this branch I will go to fast API

56:51template and I can go to let's say

56:53main.py.

56:55Now I can edit this right. I can just do

56:58the same thing which I was saying to you

57:00in the initial that hey now I can add a

57:02message one v1 something like this.

57:07I can do like let's say if I'm sure I

57:09don't know of coding I do a lot of w

57:11coding it can just print something here

57:14print

57:16hello world right then I can just commit

57:20this changes right

57:23I can go back to my this branch only I'm

57:26making all these changes right so let me

57:28go to the branch let me just go to

57:30models py let me make some edits here

57:35and I can again do some class

57:38not usable or error here right error

57:44message string I can just add this as

57:47well right now I have done few changes

57:50and in this particular uh PR I can just

57:53now create a new PR okay so let me just

57:55create a new PR so my changes let me

57:58create a pull request and let's see the

58:00same in action now see I've created a

58:02pull request

58:05each and everything is happening So let

58:06it run. Checking for the ability to

58:08merge everything. Right?

58:12I have two commits, two changes. But

58:14see, as soon as I created my PR, right,

58:17I have not done anything. I have not

58:19changed anything. My workflow is

58:21running. The workflow is pretty active

58:22in the back end. It is able to tell me

58:26that hey, the new route introduces a new

58:29API endpoint. This is significant

58:31addition to API but naming of the

58:32endpoint could be improved for better

58:34restful uh structure and clarity. The

58:36function add message now contains logic

58:38to generate unique ID. The approach of

58:40using this works but could lead to

58:41issues. So the addition of hello world

58:45right you can see here the addition of

58:46hello world that also it is able to tell

58:49that how it is not very helpful. Right?

58:51So let's see the same the addition of

58:54hello world is unnecessary for

58:56production code should be removed. It

58:58can clutter logs. Consider using

59:00structured logging if needed. The

59:02message payload model now includes a

59:04message ID. So I hope you can see that

59:06how it is telling each and everything

59:08right in front. Right? The error class

59:10is not defined as a pyantic model which

59:12should be the case. So now think that

59:15even if a fresher or someone who doesn't

59:16know the code, right? How easy it is

59:19like normally it is giving you these

59:20messages right and this is the benefit.

59:23I could have the first level of checks

59:26very very easily done. And this is again

59:29what this code rabbit kind of does in a

59:30hindsight that you can easily create

59:32this then it tells you the issues

59:34everything going a lot inside your code

59:36right but with respect to this

59:38particular thing it can easily get so

59:40many things for you considering adding a

59:42response model URL can be benefit this

59:45time should be removed that is does not

59:46fit within the fast API application so

59:49all these things is directly being

59:52happening saving me a lots of time now

59:53of course you can have a more complex

59:55use case more complex changes is and

59:58everything will be handled. Okay. So

1:00:00yeah with that we have uh just completed

1:00:02this. If I go on the execution you can

1:00:05see that how the execution happened

1:00:06right.

1:00:09How the execution happened. It is being

1:00:10completed. If I make it inactive now it

1:00:13will be fine. So yeah I think this is

1:00:15where the overall power of our GitHub AI

1:00:19automated PR comes into picture. We have

1:00:21also seen that how can we correct the

1:00:23error which we normally get. How the

1:00:25same is useful in real life. As soon as

1:00:26I create a PR the same gets triggered

1:00:28and it can just handle it. So think of

1:00:30this that in a company setting where

1:00:32many freshers join or everything how

1:00:34helpful this is because otherwise I have

1:00:36to go and understand the changes and now

1:00:39at least a vetted PR can come to me or

1:00:42to the higher management just making the

1:00:44work of a tech guy a lot easier right

1:00:48and even from a non-technical

1:00:49perspective this will tell a lot of

1:00:51things right so that is the whole idea

1:00:59great So yeah with that I really hope

1:01:01that everyone we have understood the

1:01:02same and you can easily just get this

1:01:04workflow downloaded again if you want

1:01:06the same has already been uploaded

1:01:07though so you can use it directly just

1:01:08make sure that you are able to fix the

1:01:10error the way I've told you in this

1:01:12particular video

1:01:16great everyone so let me know if you

1:01:17have any doubts anything which is not

1:01:18clear we'll be more than happy to help

1:01:20you in Yeah,

1:01:30and I hope you like the project right. I

1:01:32think the project is really helpful as

1:01:34I've shown you by showing the thing

1:01:36live. So let me know if anyone has any

1:01:39doubt. Private tutor I want to create a

1:01:41private tutor that helps student to

1:01:42solve their problems. So uh Pinku what

1:01:44we can do there that's a very good use

1:01:47case. uh we can create that right we can

1:01:49create a private tutor which can talk

1:01:51and converse with uh the student and can

1:01:54solve the problem as well. Okay

1:02:02bro, can you create it is possible to

1:02:04get an AI agent which can tell you how

1:02:05much views likes the content will get. I

1:02:07don't think that will be very valid. It

1:02:09you you can just give all the YouTube

1:02:11data and that will be helpful. Okay.

1:02:14Can you make an editor which uses nano

1:02:16banana? There's an option of adding

1:02:17image of a model for consistent face and

1:02:19option for dress and pose. Uh as I'm

1:02:20already working on that hopefully you

1:02:22will see the same uploaded on my channel

1:02:23tomorrow. So as I showed you, I have

1:02:26actually after spending lots of time, I

1:02:27have worked it out. Uh so there are

1:02:29again different different ways through

1:02:30which you can use nanom banana right.

1:02:33This is the one which uh normally you

1:02:36would see. So let me go to Google and

1:02:39from there I can show you nano banana

1:02:42API.

1:02:45So either you can use it directly or you

1:02:47can use via this file.ai. Now via this

1:02:49file.ai it is difficult because it asks

1:02:51you for credits. But don't worry, I will

1:02:53be creating the workflow. So I have

1:02:54actually already created one where you

1:02:56can see full workflow with image without

1:02:58image. I'm just testing out the same and

1:03:01yeah then it will be pretty good. So you

1:03:04can just upload an image and you want

1:03:06you can just tell what you want and

1:03:08finally we will be able to see that. So

1:03:10let me just show you an quick example.

1:03:14Let's say change the logo to Amazon.

1:03:18make me

1:03:20wear a jacket

1:03:23and add lightning. So, let me submit

1:03:26this.

1:03:29Now, again, it will take your image,

1:03:31change the image. All these things will

1:03:33be happening. But let's keep on to the

1:03:35today's use case, right? The today's use

1:03:37case was also a lot helpful. So, now see

1:03:40the same is happening.

1:03:43So, the major challenge was in getting

1:03:44the API and everything, right? That was

1:03:46the major challenge here.

1:03:49And once it gets the file, I will show

1:03:51you that what it has done. Okay, so

1:03:53let's see the result view.

1:03:57Okay, not sure. Okay, I I I meant the

1:04:00other kind of lightning. But it has done

1:04:02some other kind of lightning. But I like

1:04:04this thing very nicely. You see how

1:04:05nicely it has integrated the jacket,

1:04:07right? Even if someone showed me this

1:04:09picture, I will also get confused

1:04:11because I have this kind of a jacket.

1:04:13That's another problem. I have this

1:04:14similar kind of a Levis jacket. So this

1:04:17is what I like. This Amazon is what I

1:04:19like. This lightning it went a little

1:04:21bit overboard. Okay. So I will be

1:04:24showing you this workflow as well. Don't

1:04:25worry.

1:04:28Cool. Let me see the questions. Can we

1:04:30add another agent on top of this? Yes.

1:04:31Uh Raja, we can add any kind of agents.

1:04:34We can at least we can have a multi-

1:04:35aent system. So that all can be done.

1:04:39How accurate is it since it's AI? How

1:04:41much can we trusted? So Shaman again

1:04:43should be fine. Like if you just

1:04:44properly prompt the same it will be very

1:04:46easy and you can trust the same. Okay

1:04:48helpful session. Thanks a lot shdevi. Uh

1:04:51okay man manual intervention will be

1:04:53required I guess even though it is

1:04:55automated. So shan again if you will see

1:04:56this in action right it is not in any

1:04:59case it is doing something it is just

1:05:01getting the comments. So if even if the

1:05:03comment is not clear to you you can

1:05:05surely go to and go to your tech lead or

1:05:08tech person or the senior and guess that

1:05:09okay lead generator for exporting Indian

1:05:12handiccraft product. So push plata that

1:05:13can also be done. Uh I will be doing

1:05:15that end to end in either one of our

1:05:18courses. So the course which we are

1:05:19doing everyone right and you can use may

1:05:21as a coupon code it will give you 15%

1:05:23off right. So for people who are staying

1:05:27till the end we give this coupon. So

1:05:29that use may for 15% off on course

1:05:38right

1:05:45so I think this will be helpful for all

1:05:48of you

1:05:50let me mean I see more comments so

1:05:52thanks a lot for staying uh I will just

1:05:53be taking five seven more questions and

1:05:56then we will close it okay

1:05:58Please ID on AI tutor. So Pinku I will

1:06:01be uh creating that and I will upload

1:06:02the same. Don't worry. Okay. So we are

1:06:04slowly slowly moving forward with that.

1:06:07Can you explain what is an AI agent? Uh

1:06:09okay I've done that multiple times. What

1:06:10I will suggest for people who are not

1:06:12aware about it and in any case what I

1:06:15will highly say is just go uh you can go

1:06:18to my channel or even Krisha channel as

1:06:20well where we have uh explained about

1:06:22this AI agent and what all is this. Ply

1:06:26what you can do I have a master class

1:06:28specifically focused on NA10 right it's

1:06:30a 7 and a half hour class you can just

1:06:33see this right it has 122k views 4.5k

1:06:36likes 180 comments so doing pretty well

1:06:39right so you can see this class where

1:06:41I've explained each and everything in

1:06:42depth so about automation agents what's

1:06:45exactly they are and the use case as

1:06:47well right we have created so many

1:06:49different different workflows here

1:06:50integrated the same with telegram so all

1:06:52that thing has been done here Okay.

1:06:56So I will share this with all of you so

1:06:58that you can go via this

1:07:04which course are you talking about? Uh I

1:07:06think the link has been added any so you

1:07:08can go through that. Okay. Are you using

1:07:10a paid version of NAN? Uh techos I don't

1:07:12use the paid version of N. I have the N

1:07:14for my clients and the way I do this

1:07:16consulting I have the N hosted on the

1:07:18BPS. Okay. So on a virtual machine we

1:07:20have that. Just halfway through your N

1:07:22masterclass video. Yes. So that will be

1:07:23very helpful.

1:07:25Uh which course are you talking about

1:07:27that is done? Uh then good one which no

1:07:29code AI tool can be used for developing

1:07:31a website from scratch. Uh again Krishna

1:07:34you are getting confused. Website is a

1:07:36different thing. Website you can use

1:07:37maybe lovable or some drag and drop kind

1:07:39of a tool that is front end. This is for

1:07:41workflows and for the back end majorly.

1:07:43So any is not giving you a website

1:07:44right? So for that you will have to use

1:07:46something else.

1:07:48So please your seven hours video dubbing

1:07:50in Hindi. dubbing to pink I'm not sure

1:07:52but I can create one in Hindi if you

1:07:54want okay dubbing doesn't give that fun

1:07:56please everyone let me know if any doubt

1:07:58is there with respect to this workflow

1:07:59with respect to anything uh first of all

1:08:01thanks a lot for the person who created

1:08:03this but since we were facing this error

1:08:05here so I made sure that I can correct

1:08:06the error as well okay so now with the

1:08:09error corrected which was there in the

1:08:11official workflow I hope all of you can

1:08:13see that how nicely we were able to get

1:08:14things done okay and yeah I think we

1:08:17will we still are using this and we will

1:08:19integrate this into more of our use

1:08:21cases.

1:08:26Hello sir.

1:08:28>> Yeah. Okay guys, so do definitely check

1:08:31out the generative AI for everyone

1:08:33course uh including professionals and

1:08:35leaders. Everything is given in the

1:08:37description of this particular video. Uh

1:08:39we are currently running 10 to 20% off

1:08:42you know and I think there are only 150

1:08:44seeds that are remaining. Uh the batch

1:08:47will basically start from 14th of

1:08:49September. All the information is given

1:08:51in the description of this particular

1:08:53video. So yeah, this course can be

1:08:55joined enrolled by non tech anyone. Uh

1:08:58you don't need to have any coding

1:08:59knowledge because there we are not going

1:09:01to focus much on coding. Okay.

1:09:04>> Perfect. I think uh we can stop the

1:09:07session. Uh

1:09:09>> cool then. Yeah. Thanks a lot everyone.

1:09:11Just reach out to me if you have any

1:09:12problem and I think I will be more than

1:09:14happy. So I'm just sharing my uh

1:09:16LinkedIn and YouTube quickly so that you

1:09:18can easily reach out to me. Okay. If

1:09:20anything is there.

1:09:22Yes sir. I think we can close the

1:09:23session. It

1:09:24>> Yes.

1:09:25>> We were able to

1:09:26>> Okay, guys. Thank you.

1:09:28>> Find out all the information in the

1:09:29description of this particular video.

1:09:31Thank you. Bye-bye. Take care. Thank

1:09:32you.

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