All collections

AI Engineer (full channel)

Every upload from the AI Engineer channel, tracked daily. The pool that curated collections split off from.

966 videos · refreshed 1 hour ago

Event 8
Track 20
  1. 1 ↑1

    Full Walkthrough: Workflow for AI Coding — Matt Pocock

    1.2M views 24.6K likes 785 comments

  2. 2 ↑2

    "Software Fundamentals Matter More Than Ever" — Matt Pocock

    992K views 33.7K likes 614 comments

  3. 3 ↑5

    Building pi in a World of Slop — Mario Zechner

    405.4K views 13K likes 288 comments

  4. 4 ↑13

    Harnesses in AI: A Deep Dive — Tejas Kumar, IBM

    205.4K views 5.5K likes 329 comments

  5. 5 ↑13

    Harness Engineering: How to Build Software When Humans Steer, Agents Execute — Ryan Lopopolo, OpenAI

    196.4K views 3.6K likes 152 comments

  6. 6 ↑13

    The Multi-Agent Architecture That Actually Ships — Luke Alvoeiro, Factory

    193.5K views 4.2K likes 134 comments

  7. 7 ↑15

    State of the Claw — Peter Steinberger

    143.4K views 2.7K likes 142 comments

  8. 8 ↑15

    The Future of MCP — David Soria Parra, Anthropic

    142.4K views 2.7K likes 88 comments

  9. 9 ↑17

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

    138.4K views 2.7K likes 75 comments

  10. 10 ↑19

    How I deleted 95% of my agent skills and got better results — Nick Nisi, WorkOS

    133.4K views 2.9K likes 139 comments

  11. 11 ↑20

    Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI

    130.6K views 3.3K likes 87 comments

  12. 12 ↑24

    How Google DeepMind is researching the next Frontier of AI for Gemini — Raia Hadsell, VP of Research

    112.2K views 3K likes 88 comments

  13. 13 ↑25

    Agentic Engineering: Working With AI, Not Just Using It — Brendan O'Leary

    109.9K views 2.6K likes 39 comments

  14. 14 ↑31

    Anthropic Workshop: Build Agents That Run for Hours — Ash Prabaker & Andrew Wilson

    88.9K views 1.6K likes 59 comments

  15. 15 ↑35

    Context Is the New Code — Patrick Debois, Tessl

    83K views 1.6K likes 77 comments

  16. 16 ↑40

    From 46% to 90%: Fine-Tuning Tiny LLMs for On-Device Agents — Cormac Brick, Google

    70.6K views 1.6K likes 22 comments

  17. 17 ↑47

    Collaborative AI Engineering: One Dev, Two Dozen Agents, Zero Alignment — Maggie Appleton, GitHub

    60.6K views 1.6K likes 90 comments

  18. 18 ↑54

    AgentCraft: Putting the Orc in Orchestration — Ido Salomon

    52.3K views 1.6K likes 79 comments

  19. 19 ↑58

    Training an LLM from Scratch, Locally — Angelos Perivolaropoulos, ElevenLabs

    49.2K views 1.4K likes 15 comments

  20. 20 ↑58

    Paperclip: Open Source Human Control Plane for AI Labor — Dotta Bippa

    47.8K views 1.2K likes 54 comments

  21. 21 ↑60

    From Chaos to Choreography: Multi-Agent Orchestration Patterns That Actually Work — Sandipan Bhaumik

    46.8K views 1.3K likes 43 comments

  22. 22 ↑61

    OpenAI Codex Masterclass — Vaibhav Srivastav & Katia Gil Guzman

    44.6K views 861 likes 29 comments

  23. 23 ↑62

    Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind

    43.8K views 861 likes 52 comments

  24. 24 ↑66

    Text Diffusion — Brendan O’Donoghue, Google DeepMind

    42.5K views 1.1K likes 73 comments

  25. 25 ↑66

    Gemma 4 Deep Dive — Cassidy Hardin, Researcher, Google DeepMind

    42K views 1.1K likes 61 comments