Run every AI reviewer you trust against your code in parallel. Ship when they all agree, or see exactly where they'd code it differently.
How MultiCode gets to one verdict.
When your AI makes a code change, every reviewer makes the same change in its own isolated git worktree. You see a real diff from each model.
Reviewers see your prompts in real time, before Claude even replies. They form their own opinion of the right answer first.
MultiCode hooks into Claude Code's stop event. Reviews run automatically at the end of every turn.
Every prompt you send is shared with your reviewers in real time, before Claude even replies.
Each runs in its own isolated worktree with persistent context, writing the same change you're working on.
Every reviewer agrees and you ship, or you see exactly where one would do it differently.
Two outcomes at the end of every turn. Agreement, or a specific catch from one of your reviewers.
$ /multicode-check running 3 reviewers... [glm-5.1] VERDICT: AGREE [gpt-5.3-codex] VERDICT: AGREE [deepseek-v4] VERDICT: AGREE MultiCode check: all 3 reviewers agree.
$ /multicode-check running 3 reviewers... [glm-5.1] VERDICT: AGREE [gpt-5.3-codex] VERDICT: DISAGREE [deepseek-v4] VERDICT: AGREE gpt-5.3-codex: The Edit on line 47 silently drops the validation error from validateInput(). The catch on line 52 swallows the typed error and returns null, which the caller treats as success.