~/talk

Keynote: The Self Driving Company

slides:none on file

Replit reports engineering output tripling over seven months while MTBF stays flat and MTTM drops; seven agentic loops automate coding, review, maintenance and incidents. A single engineer plus a loop produces 309 PRs to finish a stalled CSS migration; the review agent auto-approves low-risk PRs; nightly loops burn down flaky tests; a CTF-style harness finds dozens of vulnerabilities. Continuous improvement uses Bible Bench to validate changes and yields systems at 1/10 of the price of vendors.

AI-written summary · about

  1. 0:00Start
  2. 0:05Speaker Intro - Luis Chavez, CTO of Replit
  3. 0:36Seven Months That Changed How Engineering Runs
  4. 1:06MTBF Stayed Flat and MTTM Actually Went Down
  5. 1:36What a Self-Driving Company Is - and Isn't
  6. 2:06Humans Set Goals; Agents Gather Context and Iterate
  7. 2:37Anatomy of the Agentic Loop and the Semantic Layer
  8. 3:08Loop One: Turbocharging Code Review, Not Just Coding
  9. 3:39Same Rules for the Coding Agent and the Reviewing Agent
  10. 4:10Letting the Agent Assess PR Risk and Auto-Approve Low-Risk Ones
  11. 4:41Loop Two: Maintenance - The CSS Migration That Had Failed Twice
  12. 5:11309 PRs Over Two Months, Written by One Engineer Plus a Loop
  13. 5:42Loop Three: The Networking Bug That Stumped Engineers for a Year
  14. 6:12Loop Four: A Nightly Run Burning Down Flaky Tests
  15. 6:44Loop Five: A Capture-the-Flag Harness for Penetration Testing
  16. 7:14Loop Six: Auto-Dispatching an Agent on Every Incident
  17. 7:44Loop Seven: The Agent That Improves the Agent
  18. 8:14Validating Improvements Against a Published Benchmark
  19. 8:45Opening It Up: Why Should Only Engineers Get Superpowers?
  20. 9:15The Harder Half - Non-Engineering Use Cases With No Test Suite
  21. 9:46In-Loop Validation: Tools, Guidelines and Grounding Evidence
  22. 10:16Never Jump to a Conclusion - Correlate the Metric Drop First
  23. 10:49Humans Around the Loop, Not Inside Every Loop
  24. 11:21Every Merged Correction Compounds Trust
  25. 11:51One Human Learning vs the Whole Company Learning Instantly
  26. 12:23Token Maxing vs Outcome Maxing - and Why They Chose Outcomes
  27. 12:53Minimising Time to Outcome, Not Maximising Spend
  28. 13:24Testing Was a Phase; Now It's a Property of Every Loop
  29. 13:55Loops Designed by People Who Think in Quality Produce Better Results
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