🤝 Community & Governance

40% Token Waste: Why I Ditched LLM Schedulers for Deterministic Code

Picture this: three AI coding agents clashing over auth.py, overwriting changes, breaking tests. One dev's fix? Bernstein, a non-LLM orchestrator that turns chaos into parallel precision.

Flow diagram of Bernstein's task decomposition, spawning, verification, and merge pipeline

⚡ Key Takeaways

  • Replace LLM scheduling with deterministic Python to save 40% tokens and eliminate hallucinations. 𝕏
  • Git worktrees enable true agent parallelism without conflicts or shared state chaos. 𝕏
  • Contextual bandit auto-selects optimal models per task, cutting costs 23% via learning. 𝕏
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Originally reported by Dev.to

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