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From Signal to PR: Anatomy of a Self-Improving Agent

Talkat Observe 2026 · on Thursday, 2026-06-04· [ai-assisted-development, observability]
slides:none on file

Arize shows that the actual unlock is traces on a filesystem pulled as files into the repo (sometimes ten megabytes), letting an agent produce a real fix — often a one‑line change that lands as a pull request with the fix waiting for review. The system runs chosen harnesses in sandboxes or inside a VPC so companies like Uber and Booking keep production private. The recommendation: trace ten times more so agents have exact code paths, not guesses.

AI-written summary · about

  1. 0:00Arize, its agent Alyx, and why v1 sucked
  2. 1:36Observability is changing: from dashboards to telemetry for agents
  3. 2:55The goal: systems that fix themselves
  4. 4:14Inverting the loop: the agent investigates first
  5. 6:08Traces on a filesystem, the key unlock
  6. 7:23From your laptop to sandboxes
  7. 8:13A real fix: the Alyx stream canceled bug
  8. 9:39Why you should trace ten times more
  9. 11:10Product demo: Signal, AX, and Phoenix
  10. 13:09Sandboxes, VPC, and why customers won't call out
  11. 16:20Q&A: why not just point Claude Code at your data?
  12. 18:04Q&A: where do the evals come in?
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