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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 18 hours ago

Event 8
Track 17
  1. 76 ↑268

    Malleable Evals: Why Are We Evaluating Adaptive Systems with Static Tests? — Vincent Koc, OpenClaw

    11.3K views 162 likes 21 comments

  2. 77 ↑270
  3. 78 ↑273

    Combine Skills and MCP to Close the Context Gap — Pedro Rodrigues, Supabase

    11.1K views 214 likes 2 comments

  4. 79 ↑280

    Fast Models Need Slow Developers — Sarah Chieng, Cerebras

    10.7K views 236 likes 23 comments

  5. 80 ↑281

    Why TTS Models Now Look Like LLMs — Samuel Humeau, Mistral

    10.7K views 270 likes 9 comments

  6. 81 ↑282

    Code Mode: Let the Code do the Talking - Sunil Pai, Cloudflare

    10.6K views 236 likes 8 comments

  7. 82 ↑282
  8. 83 ↑282

    Building a Chess Coach — Anant Dole and Asbjorn Steinskog, Take Take Take

    10.5K views 286 likes 21 comments

  9. 84 ↑283

    The End of Apps — Kitze, Sizzy.co

    10.4K views 286 likes 19 comments

  10. 85 ↑284

    Skill Issue: How We Used AI to Make Agents Actually Good at Supabase — Pedro Rodrigues, Supabase

    10.4K views 175 likes 11 comments

  11. 86 ↑292

    Building Interactive UIs in VS Code with MCP Apps — Marlene Mhangami & Liam Hampton, GitHub

    10.2K views 179 likes 5 comments

  12. 87 ↑292

    Don't Build Slop (4 Levels of AI Agent Maturity) - Ara Khan, Cline

    10.1K views 180 likes 4 comments

  13. 88 ↑297

    Engineering voice agents: Latency, quality, and scale — Rishabh Bhargava, Together AI

    9.9K views 244 likes 8 comments

  14. 89 ↑299

    Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google

    9.6K views 143 likes 1 comments

  15. 90 ↑301

    Why building eval platforms is hard — Phil Hetzel, Braintrust

    9.6K views 194 likes 7 comments

  16. 91 ↑308
  17. 92 ↑312

    Viktor: AI Coworker That Lives in Slack — Fryderyk Wiatrowski

    9.3K views 110 likes 10 comments

  18. 93 ↑314

    Beyond Code Coverage: Functionality Testing with Playwright MCP — Marlene Mhangami, Microsoft

    9.3K views 241 likes 18 comments

  19. 94 ↑315

    What Do Models Still Suck At? - Peter Gostev, Arena.ai, BullshitBench

    9.2K views 205 likes 12 comments

  20. 95 ↑321

    LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize

    8.9K views 169 likes 2 comments

  21. 96 ↑326

    Agent Optimization with Pydantic AI: GEPA, Evals, Feedback Loops — Samuel Colvin, Pydantic

    8.7K views 138 likes 4 comments

  22. 97 ↑327

    AIE Miami Day 2 ft. Cerebras, OpenCode, Cursor, Arize AI, and more!

    8.7K views 131 likes 4 comments

  23. 98 ↑331

    Why More Context Makes Your Agent Dumber and What to Do About It — Nupur Sharma, Qodo

    8.6K views 135 likes 8 comments

  24. 99 ↑336

    Why Can't Anyone Answer Questions About the Business? — Garrett Galow, WorkOS

    8.5K views 131 likes 1 comments

  25. 100 ↑346

    Why MCP and ChatGPT Apps Use Double Iframes — Frédéric Barthelet, Alpic

    8.2K views 120 likes 8 comments