All collections

AI Engineer World's Fair 2026

Talks from AI Engineer World's Fair 2026, drafted from the AI Engineer channel's own playlists. Editorial metadata is best-effort parsed and under review.

131 videos · refreshed 3 hours ago

Event 1
Track 1
  1. 1 ↑1

    Building Great Agent Skills: The Missing Manual

    111.8K views 3.7K likes 99 comments

  2. 2 ↑3
  3. 3 ↑5

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

    36.8K views 1.1K likes 95 comments

  4. 4 ↑9

    We Cut 94% of AI Coding Tokens With a Local Code Index - Rajkumar Sakthivel, Tesco

    18.7K views 499 likes 19 comments

  5. 5 ↑9
  6. 6 ↑9
  7. 7 ↑9

    HTML is All You Need (for Agents to Make Graphics) - Amol Kapoor, Nori

    13.7K views 434 likes 22 comments

  8. 8 ↑12

    What if the harness mattered more than the model? - Aditya Bhargava, Etsy

    9.6K views 252 likes 21 comments

  9. 9 ↑12

    Recursive Coding Agents - Raymond Weitekamp, OpenProse

    9.5K views 245 likes 6 comments

  10. 10 ↑13
  11. 11 ↑13

    Build Systems, Not Code - Angie Jones, Agentic AI Foundation

    7.5K views 314 likes 12 comments

  12. 12 ↑13
  13. 13 ↑17

    Using Spec-Driven Development for Production Workflows - Erik Hanchett, AWS

    6.4K views 141 likes 10 comments

  14. 14 ↑19

    AI System Design: From Idea to Production - Apoorva Joshi, MongoDB

    6K views 164 likes 10 comments

  15. 15 ↑19

    A Practitioner's Guide to Graphs - Tim Ainge, Good Collective

    5.9K views 209 likes 5 comments

  16. 16 ↑19

    Building an Autonomous Engineering Org - Angie Jones, Agentic AI Foundation

    5.5K views 212 likes 14 comments

  17. 17 ↑22

    The Agentic AI Engineer - Benedikt Sanftl, Mutagent

    4.8K views 72 likes 8 comments

  18. 18 ↑22

    The Pipeline Is Dead - Iris ten Teije, Sky Valley Ambient Computing

    4.7K views 68 likes 17 comments

  19. 19 ↑22

    The Log Is The Agent - Ishaan Sehgal, Omnara

    4.5K views 96 likes 15 comments

  20. 20 ↑22

    Build Evals That Actually Matter - Nick Ung & Akshay Sharma, Lyft

    4.3K views 122 likes 7 comments

  21. 21 ↑22

    Frontier results, on device - RL Nabors, Arize

    4.2K views 106 likes 6 comments

  22. 22 ↑22

    Agents Building Agents - Alfonso Graziano, Nearform

    4.2K views 123 likes 4 comments

  23. 23 ↑22

    Build AI Systems for Discernment, Not Approval - Angel Ortmann Lee, Duolingo

    4.1K views 129 likes 4 comments

  24. 24 ↑24
  25. 25 ↑25

    Your AI Product Will Fail Unless You Can Explain It - Veronica Hylak, Hey AI

    3.7K views 204 likes 17 comments