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zifeng peng
zifeng peng

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Different minds only help if they share one project

Agent-generated code is flooding review queues. Anthropic's Claude Code team has been writing about multi-agent verification and risk-based approvals for exactly that reason. The interesting part isn't "more agents" β€” it's whether disagreement and checks stay visible.

What I keep seeing

  • Stacking agents without a shared brief creates parallel work nobody can review.
  • A green summary is not a diff, a test result, or a changed screen.
  • Human-in-the-loop becomes useless when it means rubber-stamping the same stack that wrote the PR.

The boring workflow I shipped

I build Brainstorm, a Linux-first BYOK shell (we don't sell model credits):

  1. Several AIs discuss one shared goal.
  2. Work gets divided into coding tasks.
  3. Independent verification stays separate from the draft.
  4. Publishing to the project main branch needs explicit human approval.
  5. You can export the source ZIP and keep going.

Pricing is simple: $6/mo or $54/yr. You bring your own model accounts.

https://brainstorm.mungwaan.cn

If your multi-agent setup feels noisy, shrink the scope: one goal, separate checks, a human gate. The disagreement is the useful part β€” if you can still see it.

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