21 hours ago · Tech · 0 comments

Most multi-agent coding setups I see today look like task parallelism. You split the work, hand each piece to a different agent, and merge the results at the end. That is useful. I do it too. But I’ve been trying a different approach and really liking it: Put two agents on the same problem and make them argue constructively before I trust the plan. The manual version is simple: I spin up Claude Code with Opus 4.7 and ask it to draft a plan: my-plan-claude.md. Then I spin up Codex with GPT-5.5 and ask it to draft a plan for the same requirement: my-plan-codex.md. Now the useful part starts… I ask Claude to read the Codex plan, steal whatever is better, update its own plan, and give me a concrete list of deficiencies in the Codex plan. Then I take those deficiencies back to Codex and ask it to do the same thing: read Claude’s updated plan, steal the good parts, defend or fix the weak parts, and update my-plan-codex.md. Then back to Claude. I do this about three times. This works…

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