AI VIDEOS
Menu

AI Engineer

302 reviewed videos with editorial summaries and key takeaways.

Visit the channel on YouTube
Popular topics
People

Videos

Showing 261–280 of 302 videos

Clear filters
  1. Rajat Shah in a blue top beside the blue-and-white headline “AI FINDS SLOW CODE” on black.
    Rajat Shah on AI-Assisted Performance Engineering at Netflix
    33m 39s
  2. Lee Robinson beside the words Models Train Models
    How Cursor Builds Models That Train Models
    20m 32s
  3. Cat Wu, Thariq Shihipar, and Simon Willison beside the words How Anthropic Builds Claude
    How Anthropic Builds and Evaluates Claude Code
    51m 30s
  4. Prukalpa Sankar beside the words AI Needs Context
    Why Production AI Needs a Context Layer
    20m 54s
  5. Philipp Schmid beside the words Skills Need Evals
    Why Agent Skills Need Evals
    21m 46s
  6. Pauline Brunet beside the words How FDE Delivers AI
    How Forward-Deployed Engineers Deliver AI
    20m 47s
  7. The headline Judgment Is the Job in attention blue and true white beside a flat branching path converging on one checked direction
    Why Judgment Becomes the Engineer's Most Important Skill
    18m 26s
  8. Erik Meijer beside the words Prove Agents Safe
    How Formal Proofs Can Make Tool-Calling Agents Safer
    21m 13s
  9. Alejandro Vidal beside the words Benchmarks Miss Difficulty
    Why Psychometrics Can Improve LLM Evaluation
    23m 35s
  10. Abhishek Bhardwaj beside the words Sandboxes Need Three Layers
    How to Build Secure Sandboxes for AI Agents
    44m 34s
  11. Will Brown beside the words Post-Training Needs Environments
    How Modern Post-Training Systems Work
    46m 52s
  12. Shashi Jagtap beside the words RLMs Query the Codebase
    How Recursive Language Models Navigate Large Codebases
    17m 27s
  13. Jack Cable beside the words Defend Against AI Bugs
    How Defenders Can Respond to the AI Bug Apocalypse
    19m 44s
  14. Raahul Singh and Vanč Levstik beside the headline LLMs Can't Search 500,000 Sensors
    Why LLMs Fail Across 500,000 Sensors
    16m 25s
  15. Ramesh Raskar and Maria Gorskikh beside the headline Agents Need an Open Web
    How Project NANDA Builds an Open Web for AI Agents
    12m 11s
  16. Roberto Stagi beside the headline TypeScript Runs the Agent
    Why TypeScript Is Becoming the Language of AI Agents
    14m 16s
  17. Sachin Gupta beside the headline AI Code Creates Review Debt
    How to Measure Review Debt from AI-Generated Code
    25m
  18. Connor Adams beside the headline Your Terminal in Your Pocket
    How Remobi Puts Your Terminal on Your Phone
    9m 21s
  19. Nick Taylor beside the headline Secure OpenClaw Access
    How Nick Taylor Secures OpenClaw Access
    17m 12s
  20. Elizabeth Fuentes Leone beside the headline Stop Agent Hallucinations
    Five Ways to Reduce AI Agent Hallucinations
    55m 19s