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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. 26 ↑273

    From Stateless Nightmares to Durable Agents — Samuel Colvin, Pydantic

    14.7K views 299 likes 11 comments

  2. 27 ↑275

    RL Environments at Scale – Will Brown, Prime Intellect

    14.6K views 328 likes 11 comments

  3. 28 ↑279

    Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta

    14.3K views 329 likes 12 comments

  4. 29 ↑296

    Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize

    12.9K views 236 likes 27 comments

  5. 30 ↑303

    Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute

    12.3K views 300 likes 2 comments

  6. 31 ↑319

    How METR measures Long Tasks and Experienced Open Source Dev Productivity - Joel Becker, METR

    11.1K views 150 likes 10 comments

  7. 32 ↑378

    Building durable Agents with Workflow DevKit & AI SDK - Peter Wielander, Vercel

    9.1K views 134 likes 4 comments

  8. 33 ↑388

    Future-Proof Coding Agents – Bill Chen & Brian Fioca, OpenAI

    8.7K views 193 likes 8 comments

  9. 34 ↑399

    The 3 Pillars of Autonomy – Michele Catasta, Replit

    8.5K views 150 likes 7 comments

  10. 35 ↑401

    Why Agent Hype can fall short of reality – Joel Becker, METR

    8.5K views 163 likes 6 comments

  11. 36 ↑408

    Identity for AI Agents - Patrick Riley & Carlos Galan, Auth0

    8.3K views 125 likes 5 comments

  12. 37 ↑437

    No More Slop – swyx

    7.6K views 157 likes 5 comments

  13. 38 ↑439

    Paying Engineers like Salespeople – Arman Hezarkhani, Tenex

    7.6K views 125 likes 24 comments

  14. 39 ↑452

    Context Engineering: Connecting the Dots with Graphs — Stephen Chin, Neo4j

    7.2K views 138 likes 13 comments

  15. 40 ↑460

    Hacking Subagents Into Codex CLI — Brian John, Betterup

    7K views 123 likes 6 comments

  16. 41 ↑478

    Automating Large Scale Refactors with Parallel Agents - Robert Brennan, OpenHands

    6.8K views 122 likes 10 comments

  17. 42 ↑502

    AI Kernel Generation: What's working, what's not, what's next – Natalie Serrino, Gimlet Labs

    6.4K views 159 likes 6 comments

  18. 43 ↑533

    Z.ai GLM 4.6: What We Learned From 100 Million Open Source Downloads — Yuxuan Zhang, Z.ai

    5.9K views 114 likes 4 comments

  19. 44 ↑542

    Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)

    5.9K views 129 likes 6 comments

  20. 45 ↑543

    Backlog.md: Terminal Kanban Board for Managing Tasks with AI Agents — Alex Gavrilescu, Funstage

    5.8K views 133 likes 7 comments

  21. 46 ↑546

    From Arc to Dia: Lessons learned building AI Browsers – Samir Mody, The Browser Company of New York

    5.7K views 111 likes 15 comments

  22. 47 ↑636

    Coding Evals: From Code Snippets to Codebases – Naman Jain, Cursor

    4.3K views 75 likes 4 comments

  23. 48 ↑646

    Compilers in the Age of LLMs — Yusuf Olokoba, Muna

    4.2K views 115 likes 7 comments

  24. 49 ↑653

    AGI: The Path Forward – Jason Warner & Eiso Kant, Poolside

    4K views 67 likes 8 comments

  25. 50 ↑743

    The Cure for the Vibe Coding Hangover — Corey J. Gallon, Rexmore

    3.1K views 93 likes 11 comments