~/panel

Future of Software Development

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name:Carl Ross
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Panel claims agents now write and review most code, turning human PR review into a cost/scale problem and pushing teams to agent-led PR review. Tools mentioned include Fire Hose (okthink) for orchestrating fleets, Apex/dedicated models for technical work, and local vs cloud tradeoffs under local vs cloud models. Surprising metrics: code output jumps from thousands to hundreds of thousands of lines per week and a single-line change yields a 90% endpoint speedup in one case. Junior apprenticeship gaps and governance in regulated sectors remain unresolved.

AI-written summary · about

  1. 0:00Introduction and panelists
  2. 2:22Managing agents versus developers
  3. 4:05Individual productivity versus organizational output
  4. 5:50How client expectations are changing
  5. 8:00When models write and review the code
  6. 9:40Firehose and agent-led review
  7. 10:45Junior developers and the future of apprenticeship
  8. 18:10How new engineers learn from models
  9. 20:04Local, cloud, and specialized models
  10. 23:23Choosing models for different jobs
  11. 25:02Governance in regulated industries
  12. 27:22Code quality, craft, and AI slop
  13. 29:14The boundary between agent output and human writing
  14. 30:20Evaluating founders in a world of abundant output
  15. 35:40Practical advice for experienced engineers and leaders
  16. 40:25Predictions for the next six and 36 months
  17. 42:00OpenAI Dev Day
  18. 43:15Rapid-fire round
  19. 44:20Overrated AI advice and the phrase vibe coding
  20. 45:50Agent-built work that surprised the panel
  21. 46:50Unpopular opinions about agentic development
  22. 47:40One model and tool on a desert island
  23. 49:20Is product taste still a competitive advantage?
  24. 50:00Closing
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