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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. 51 ↓1

    Everything we knew about software has changed — Theo Browne, @t3dotgg ​

    94.3K views 3.3K likes 172 comments

  2. 52 ↓1

    AI Engineer World's Fair 2025 - Day 1 Keynotes & MCP track ft. Anthropic MCP team

    93.5K views 1.1K likes 34 comments

  3. 53 ↓1

    From Vibe Coding To Vibe Engineering – Kitze, Sizzy

    93K views 3.7K likes 226 comments

  4. 54 ↓1

    Minimax M2: Building the #1 Open Model – Olive Song, MiniMax

    91.4K views 204 likes 15 comments

  5. 55 ↓1

    Make your LLM app a Domain Expert: How to Build an Expert System — Christopher Lovejoy, Anterior

    90.8K views 1.9K likes 44 comments

  6. 56 ↓1

    Context Is the New Code — Patrick Debois, Tessl

    87.3K views 1.6K likes 80 comments

  7. 57 ↓1

    Vibes won't cut it — Chris Kelly, Augment Code

    87.1K views 2.4K likes 197 comments

  8. 58 ↓1

    AI Engineering at Jane Street - John Crepezzi

    86.2K views 1.9K likes 43 comments

  9. 59 ↓1
  10. 60 ↓1

    Moving away from Agile: What's Next – Martin Harrysson & Natasha Maniar, McKinsey & Company

    83.9K views 1.5K likes 104 comments

  11. 61 ↓1

    From fork() to Fleet: Designing an Agent Sandbox Cloud — Abhishek Bhardwaj, OpenAI

    83.8K views 390 likes 12 comments

  12. 62 ↓1

    How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf

    83.5K views 1.5K likes 93 comments

  13. 63 ↓1

    AI changes *Nothing* — Dax Raad, OpenCode

    83K views 3.1K likes 139 comments

  14. 64 ↓1

    Don't Ship Skills Without Evals — Philipp Schmid, Google DeepMind

    82.1K views 1.6K likes 44 comments

  15. 65 ↓1

    Building Closed-Loop Evals for a Multimodal Agent at Scale — Soumya Gupta & Jai Chopra, Uber

    81.7K views 1K likes 34 comments

  16. 66 ↓1

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

    79.1K views 1.7K likes 25 comments

  17. 67 ↓1
  18. 68 ↓1

    Every company should have a Brain — Garry Tan, Y Combinator

    75.3K views 1.7K likes 116 comments

  19. 69 ↑47

    Homa: The End of TCP for AI Clusters — John Ousterhout, Stanford

    70.7K views 750 likes 65 comments

  20. 70 ↓2

    The Future Is Domain-Specific Agents - Justin Schroeder, StandardAgents

    68.4K views 1.9K likes 146 comments

  21. 71 ↓2

    Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou

    68K views 1.8K likes 30 comments

  22. 72 ↓2

    How to Train Your Agent: Building Reliable Agents with RL — Kyle Corbitt, OpenPipe

    66.1K views 1.6K likes 29 comments

  23. 73 ↓2

    MCP is all you need — Samuel Colvin, Pydantic

    65.9K views 1.1K likes 31 comments

  24. 74 ↓2

    Dispatch from the Future: building an AI-native Company – Dan Shipper, Every, AI & I

    65.7K views 1.4K likes 60 comments

  25. 75 ↓2

    tldraw.computer - Steve Ruiz, tldraw

    65.1K views 2.5K likes 102 comments