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AIE CODE 2025

Talks from AIE CODE 2025, drafted from the AI Engineer channel's own playlists. Editorial metadata is best-effort parsed and under review.

64 videos · refreshed 2 hours ago

Event 1
Track 3
  1. 1

    Don't Build Agents, Build Skills Instead – Barry Zhang & Mahesh Murag, Anthropic

    1.5M views 29.7K likes 601 comments

  2. 2

    No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer

    601.5K views 17.5K likes 412 comments

  3. 3

    Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic

    139.9K views 2.8K likes 149 comments

  4. 4

    Defying Gravity - Kevin Hou, Google DeepMind

    105.5K views 2.3K likes 92 comments

  5. 5

    How Claude Code Works - Jared Zoneraich, PromptLayer

    97K views 1.9K likes 54 comments

  6. 6 ↑4

    Making Codebases Agent Ready – Eno Reyes, Factory AI

    53.5K views 1.2K likes 46 comments

  7. 7 ↑4

    Spec-Driven Development: Agentic Coding at FAANG Scale and Quality — Al Harris, Amazon Kiro

    52.9K views 792 likes 18 comments

  8. 8 ↑4

    Amp Code: Next Generation AI Coding – Beyang Liu, Amp Code

    50.1K views 1.3K likes 42 comments

  9. 9 ↑4

    DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners

    47.3K views 859 likes 44 comments

  10. 10 ↑7

    OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal

    34.3K views 675 likes 41 comments

  11. 11 ↑9

    Building Cursor Composer – Lee Robinson, Cursor

    25.8K views 519 likes 28 comments

  12. 12 ↑11
  13. 13 ↑11

    Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect

    20.4K views 424 likes 29 comments

  14. 14 ↑11

    Hard Won Lessons from Building Effective AI Coding Agents – Nik Pash, Cline

    19.5K views 462 likes 45 comments

  15. 15 ↑14

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

    13.2K views 307 likes 10 comments

  16. 16 ↑14

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

    12.7K views 233 likes 27 comments

  17. 17 ↑14

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

    11.8K views 293 likes 2 comments

  18. 18 ↑14

    RL Environments at Scale – Will Brown, Prime Intellect

    11.5K views 275 likes 11 comments

  19. 19 ↑14

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

    10.8K views 150 likes 10 comments

  20. 20 ↑14

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

    8.9K views 132 likes 4 comments

  21. 21 ↑14

    The 3 Pillars of Autonomy – Michele Catasta, Replit

    8.4K views 148 likes 7 comments

  22. 22 ↑14

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

    8K views 160 likes 6 comments

  23. 23 ↑15

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

    8K views 124 likes 5 comments

  24. 24 ↑19

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

    6.7K views 122 likes 10 comments

  25. 25 ↑19

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

    5.9K views 153 likes 6 comments