🤖 Large Language Models

Why I Quit Letting LLMs Schedule Other LLMs – And Built Bernstein Instead

Picture this: three genius AI coders, each brilliant alone, turning your repo into a warzone together. One dev's fix? Bernstein, a no-LLM scheduler that actually works.

Diagram of Bernstein pipeline: decompose, spawn agents in worktrees, verify, merge to main

⚡ Key Takeaways

  • Ditch LLM schedulers: Use deterministic Python like Bernstein for agent coordination – faster, cheaper, reliable. 𝕏
  • Git worktrees + janitor verification = conflict-free parallel coding agents. 𝕏
  • Contextual bandit routes models optimally, cutting costs 23% by task type. 𝕏
Published by

theAIcatchup

Community-driven. Code-first.

Worth sharing?

Get the best Open Source stories of the week in your inbox — no noise, no spam.

Originally reported by Dev.to

Stay in the loop

The week's most important stories from theAIcatchup, delivered once a week.