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AI Engineer (full channel)

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

1199 videos · refreshed 16 hours ago

Event 8
Track 17
  1. 1

    Full Walkthrough: Workflow for AI Coding — Matt Pocock

    1.6M views 29.1K likes 883 comments

  2. 2 ↑1

    "Software Fundamentals Matter More Than Ever" — Matt Pocock

    1.3M views 39.5K likes 703 comments

  3. 3 ↑4

    Building pi in a World of Slop — Mario Zechner

    536.6K views 15.3K likes 351 comments

  4. 4 ↑12

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

    285K views 7K likes 355 comments

  5. 5 ↑12

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

    252.8K views 4.9K likes 170 comments

  6. 6 ↑13

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

    236.9K views 3.9K likes 174 comments

  7. 7 ↑20

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

    150.6K views 2.9K likes 81 comments

  8. 8 ↑21

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

    146.4K views 3K likes 147 comments

  9. 9 ↑21

    The Future of MCP — David Soria Parra, Anthropic

    145K views 2.8K likes 90 comments

  10. 10 ↑21

    State of the Claw — Peter Steinberger

    144.7K views 2.7K likes 142 comments

  11. 11 ↑22

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

    141.4K views 3.5K likes 90 comments

  12. 12 ↑27

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

    120.6K views 2.7K likes 41 comments

  13. 13 ↑30

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

    112.9K views 3K likes 86 comments

  14. 14 ↑32

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

    99.8K views 1.7K likes 55 comments

  15. 15 ↑40

    Context Is the New Code — Patrick Debois, Tessl

    87.3K views 1.6K likes 80 comments

  16. 16 ↑49

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

    79.1K views 1.7K likes 25 comments

  17. 17 ↑58

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

    63.2K views 1.6K likes 84 comments

  18. 18 ↑67

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

    55.3K views 1.5K likes 50 comments

  19. 19 ↑67

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

    54.8K views 1.5K likes 16 comments

  20. 20 ↑67

    AgentCraft: Putting the Orc in Orchestration — Ido Salomon

    53.1K views 1.6K likes 80 comments

  21. 21 ↑74

    How we solved Context Management in Agents — Sally-Ann Delucia

    49.3K views 1K likes 46 comments

  22. 22 ↑74

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

    48.9K views 1.2K likes 55 comments

  23. 23 ↑75

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

    48.4K views 914 likes 55 comments

  24. 24 ↑75

    OpenAI Codex Masterclass — Vaibhav Srivastav & Katia Gil Guzman

    47.6K views 901 likes 32 comments

  25. 25 ↑81

    Text Diffusion — Brendan O’Donoghue, Google DeepMind

    44.3K views 1.2K likes 78 comments