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Towards Self-Driving Codebases

4 hours ago
  • Agents can perform fun one-shot games and complex migrations, but most real software work still requires human engineers.
  • Current attempts to offload work to agents have produced disappointing results, leading to a trough of disillusionment.
  • Future engineering value will come from having good ideas (features, architecture) rather than setting up agent loops.
  • Self-driving areas should include bug detection and fixing, debugging production errors, optimizing agents, frontend consistency, application polish, and growth optimization.
  • Missing primitives include agent-legible dev environments, global memory to avoid repeated mistakes, and codebase rot prevention.
  • Engineering teams should invest in making dev environments agent-friendly by mining codebases for bugs and fixing gaps.
  • The path forward involves using bug traces to prioritize investments, benchmarking agent readiness, and progressively handing off work.
  • This mirrors historical technology shifts like cloud migration, where missing primitives were eventually solved.