Transcript library

YouTube transcript library, page 120

These are readable transcripts of public YouTube videos, generated from the captions YouTube publishes for them. There are 8,370 transcripts here so far. Want a transcript for a different video? Usethe free transcript tool, no sign-up needed.

• "Software Fundamentals Matter More Than Ever" — Matt Pocock

  AI Engineer · English · 3,341 words · 16 min read

• Graph Engineering explained in 8min..

  Caleb Writes Code · English · 1,558 words · 8 min read

• Loop Engineering explained in 8min..

  Caleb Writes Code · English · 1,672 words · 8 min read

• Production-Ready AI Agents, Guardrails & Human-in-the-Loop | Build Reliable AI Systems | Edureka

  edureka! · English · 8,709 words · 40 min read

• Multi-Agent System: 4 AI Agent Orchestration Patterns You Must Know in 2026

  SKD Neuron · English · 3,591 words · 17 min read

• Agent Harness explained in 8min..

  Caleb Writes Code · English · 1,541 words · 8 min read

• AI Agents Part 2: Multi-Agent Orchestration

  MyZone AI · English · 19,896 words · 91 min read

• Real-world agent case studies: how organizations are using AI agents

  Microsoft Power Platform · American English · 7,343 words · 34 min read

• AI Agent Orchestration: How to Automate Enterprise Workflows Safely

  Box · English · 5,749 words · 27 min read

• MCP or CLI: Why Not Both? - Jan Peer Stöcklmair, Sentry

  Mastra · American English · 2,909 words · 14 min read

• Building the digital workforce: Multi-agent apps with Azure AI Foundry | BRK148

  Microsoft Developer · English · 10,804 words · 50 min read

• AI Multi Agents: Definition, Patterns and a case study

  Microsoft Reactor · English · 6,803 words · 31 min read

• How a senior staff engineer at Clerk actually uses AI to code

  Hamed Bahram · English · 16,903 words · 77 min read

• AI Agent Harness Orchestration Strategies​ for Generating Data-driven Decision​ Recommendations

  Regis James: Harnessing AI, Data-driven Decisions · English · 4,277 words · 20 min read

• Orchestrating Intelligence: Multi-Agentic Design Patterns for Production AI - Mary Grygleski

  Developer Summit · English · 11,506 words · 53 min read

• الحلقة 18 - قصص شهداء أُحد - نور - مصطفى حسني - EPS 18 - Noor - Mustafa Hosny

  Mustafa Hosny · Arabic · 5,476 words · 25 min read

• MCP: Origins and Requests For Startups — Theodora Chu, Model Context Protocol PM, Anthropic

  AI Engineer · English · 3,014 words · 14 min read

• Remote MCPs: What we learned from shipping — John Welsh, Anthropic

  AI Engineer · English · 2,677 words · 13 min read

• The State of MCP observability: Observable.tools — Alex Volkov and Benjamin Eckel, W&B and Dylibso

  AI Engineer · English · 3,324 words · 16 min read

• Building Protected MCP Servers — Den Delimarsky and Julia Kasper, MCP Steering Committee & Microsoft

  AI Engineer · English · 3,760 words · 18 min read

• Building Agents with Amazon Nova Act and MCP - Du'An Lightfoot, Amazon (Full Workshop)

  AI Engineer · English · 13,586 words · 62 min read

• Case Study + Deep Dive: Telemedicine Support Agents with LangGraph/MCP - Dan Mason

  AI Engineer · English · 26,139 words · 119 min read

• MCP Is Not Good Yet — David Cramer, Sentry

  AI Engineer · English · 3,875 words · 18 min read

• كيف تحولت كوريا الشمالية إلى أكبر سجن في العالم؟ 🇰🇵

  Hamza Abdrzaq · Arabic · 4,724 words · 22 min read

• The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify

  AI Engineer · English · 3,097 words · 15 min read

• Full Spec MCP: Hidden Capabilities of the MCP spec — Harald Kirschner, Microsoft/VSCode

  AI Engineer · English · 2,685 words · 13 min read

• MCP is all you need — Samuel Colvin, Pydantic

  AI Engineer · English · 2,755 words · 13 min read

• Real world MCPs in GitHub Copilot Agent Mode — Jon Peck, Microsoft

  AI Engineer · English · 2,747 words · 13 min read

• (possible dupe but better sound) What does Enterprise Ready MCP mean? — Tobin South, WorkOS

  AI Engineer · English · 2,703 words · 13 min read

• A2A & MCP Workshop: Automating Business Processes with LLMs — Damien Murphy, Bench

  AI Engineer · English · 14,027 words · 64 min read

• الحرب الكورية : الحرب التي مزقت الشعب الكوري إلى الأبد 🇰🇵🇰🇷

  Hamza Abdrzaq · Arabic · 5,063 words · 24 min read

• The Future of MCP — David Soria Parra, Anthropic

  AI Engineer · English · 3,280 words · 15 min read

• MCP = Mega Context Problem - Matt Carey

  AI Engineer · English · 4,495 words · 21 min read

• Gateways are All You Need — Karan Sampath, Anthropic

  AI Engineer · English · 3,677 words · 17 min read

• Scaling GitHub for your Agents — Sam Morrow, GitHub

  AI Engineer · English · 3,477 words · 16 min read

• One Login to Rule Them All: Cross-App Access for MCP — Garrett Galow, WorkOS

  AI Engineer · English · 4,411 words · 21 min read

• MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps

  AI Engineer · English · 3,972 words · 19 min read

• Beyond Code Coverage: Functionality Testing with Playwright MCP — Marlene Mhangami, Microsoft

  AI Engineer · English · 3,082 words · 15 min read

• Combine Skills and MCP to Close the Context Gap — Pedro Rodrigues, Supabase

  AI Engineer · English · 2,767 words · 13 min read

• D Todo - Banco de sangre (14/05/2019)

  Canal Once · Spanish · 3,233 words · 15 min read

• Building a Chess Coach — Anant Dole and Asbjorn Steinskog, Take Take Take

  AI Engineer · English · 3,238 words · 15 min read

• Introducing WebMCP: Agents in the Browser — RL Nabors

  AI Engineer · English · 4,186 words · 20 min read

• Beyond Components: Designing Generative UI for MCP Apps — Ruben Casas, Postman

  AI Engineer · English · 2,621 words · 12 min read

• The agent-ready web: Simplify user actions with WebMCP — Tara Agyemang, Google

  AI Engineer · English · 3,246 words · 15 min read

• From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data

  AI Engineer · English · 3,962 words · 19 min read

• Building Interactive UIs in VS Code with MCP Apps — Marlene Mhangami & Liam Hampton, GitHub

  AI Engineer · English · 2,852 words · 13 min read

• MCP Tasks (async): Why Aren't Any Agents Supporting Them? — Cornelia Davis, Temporal

  AI Engineer · English · 3,982 words · 19 min read

• MCP Apps: Extending the Frontier — Ido Salomon & Liad Yosef

  AI Engineer · English · 3,260 words · 15 min read

• Your Insecure MCP Server Won't Survive Production — Tun Shwe, Lenses

  AI Engineer · English · 3,610 words · 17 min read

• Bending a Public MCP Server Without Breaking It — Nimrod Hauser, Baz

  AI Engineer · English · 6,630 words · 31 min read

• One Registry to Rule them All - Sonny Merla, Mauro Luchetti, & Mattia Redaelli, Quantyca

  AI Engineer · English · 3,182 words · 15 min read

• AI Didn’t Kill the Web, It Moved in! — Olivier Leplus (AWS) & Yohan Lasorsa (Microsoft)

  AI Engineer · English · 8,901 words · 41 min read

• Why MCP and ChatGPT Apps Use Double Iframes — Frédéric Barthelet, Alpic

  AI Engineer · English · 3,346 words · 16 min read

• You Didn't Ship a Bug. You Just Wrote It for a Human. - Ravi Madabhushi, Scalekit

  AI Engineer · English · 2,227 words · 11 min read

• It's 10pm. Do You Know Where Your Agents Are? — Kim Maida, Keycard

  AI Engineer · English · 3,454 words · 16 min read

• Agents Need Receipts, Not More Tool Calls - Armanas Povilionis, Alithea Bio

  AI Engineer · Arabic · 1,807 words · 9 min read

• MCP Apps: Primitives, discovery, and the Future of Software - Pietro Zullo, Manufact, Inc

  AI Engineer · English · 4,773 words · 22 min read

• Master 80% of Antigravity in 25 minutes (You’ll beat Everyone)

  Michele Torti · English · 6,150 words · 28 min read

• EP 86. 진짜 내 일을 해결하는 Agentic Workflow (Lablup 신정규 대표)

  AI Frontier Korea (노정석) · Simplified Chinese · 2,235 words · 11 min read

• A bathtub instead of a desk? Korean government backtracks amid backlash

  KOREA NOW · English · 278 words · 2 min read