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298 reviewed videos with editorial summaries and key takeaways.

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  1. Varun Krovvidi beside the blue and white headline “SIX PILLARS - PRODUCTION AGENTS” on a black background.
    The 6 Pillars of an Agentic Harness for Production - Varun Krovvidi, Resolve AI
    21m 5s
  2. Sheilah Kirui beside the blue and white headline “SPECULATIVE DECODING - WORTH IT?” on a black background.
    Is Speculative Decoding Worth It? Profiling vLLM on NVIDIA Blackwell - Akamai
    15m 17s
  3. Ben Dicken beside the blue and white headline “AI DATABASES - SCALE SAFELY” on a black background.
    Move Fast and Don't Break Things: Scaling Databases for the AI Era - PlanetScale
    19m 7s
  4. Hossein Niazmandi beside the blue and white headline “AI EVALUATIONS - BEYOND SPREADSHEETS” on a black background.
    Why Building an Eval Platform Is Harder Than It Looks - Braintrust
    17m 47s
  5. Marc Klingen against a black background beside the blue and white headline “AGENT IMPROVEMENT”.
    Self-Improving Agents with Traces, Datasets and Evals
    17m 7s
  6. Dru Knox against a black background beside the blue-and-white headline “BUILD A SOFTWARE FACTORY”.
    Harness Engineering: How to Build a Software Factory - Dru Knox, Tessl
    20m 31s
  7. Charlie Guo and Gabriel Chua beside the headline Codex Workflows on a black background.
    Six Codex Workflows for Context, Agents and Automation
    1h 7m
  8. Sam Parsons beside the headline Agent Checkout on a black background.
    How AI Agents Handle Checkout and Payments
    14m 52s
  9. Doug Guthrie beside the headline Observe Your AI on a black background.
    Building an AI Observability and Evaluation Workflow
    1h 51m
  10. Jim Clark beside the headline Agent Security on a black background.
    Why AI Agents Should Not Hold Their Own Credentials
    18m 13s
  11. Charles Frye beside the headline Inside Inference on a black background.
    How Inference Engines Schedule, Cache and Serve AI Models
    59m 59s
  12. Miguel Gonzalez-Fernandez and Corby Rosset beside the headline Verify The Agent on a black background.
    Building Reliable Verifiers for Browser Agents
    21m 14s
  13. Laurie Voss against a black background beside the blue-and-white headline “FIX AGENTS WITH FEEDBACK”.
    From Vibes to Production: Evaluating and Shipping AI Agents That Work 201 - Laurie Voss, Arize AI
    42m 17s
  14. Leo Platzer and Jeff Koss against a black background beside the blue-and-white headline “MAKE DOCUMENTS AI READY”.
    From Raw Documents to AI-Ready Data - Leo Platzer & Jeff Koss
    21m 37s
  15. Laurie Voss against a black background beside the blue-and-white headline “EVALUATE AGENTS NOT VIBES”.
    From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 - Laurie Voss, Arize AI
    1h 51m
  16. Fuad Ali against a black background beside the blue-and-white headline “VOICE AGENTS NEED AUDIO”.
    The Transcript Looked Fine. The Call Wasn't. - Debugging Voice Agents, Arize
    18m
  17. Paige Bailey against a black background beside the blue and white headline “GEMMA GOES LOCAL”.
    Gemma on Phones and Browsers: Research to Reality
    10m 53s
  18. Kent C. Dodds against a black background beside the blue and white headline “JOBS NOT FEATURES”.
    Product Engineering: Jobs to Be Done and Feature Tradeoffs
    52m 9s
  19. Kent C. Dodds against a black background beside the blue and white headline “BUILD THE RIGHT THING”.
    Product Engineering Before AI Coding: Build the Right Thing
    55m 19s
  20. Matt Brockman against a black background beside the blue and white headline “AGENT SANDBOXES”.
    AI Agent Sandboxes: Resources, Lifecycles and Isolation
    59m 33s