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AI code review across 4 frontier models.

Different models catch different bugs. Send your PR to Claude, GPT-5.5, Gemini, and Grok in parallel — concurrency issues from one, dead-code from another, real-world reproducibility checks from the third.

multimind.co/app

You

Review this Go code for the order-processing endpoint. Look for bugs, race conditions, and anything that would fail in production at scale. [diff omitted]

Claude Opus 4.7

The error handling in `processOrder` swallows DB exceptions silently — line 47. Either let it bubble or log with stack trace. Also, the price calculation has a subtle floating-point issue: round to cents before persisting.

GPT-5.5

Three things: 1. `validate()` is called twice — once in the controller, once in the service. Pick one. 2. The transaction wrapping is incomplete; if `audit_log` insert fails the order still commits. 3. Variable name `tmp` on line 89 — give it a real name.

Gemini 3 Pro

Concurrency concern: this isn't safe under simultaneous orders for the same user. The check-then-update on `inventory` needs a row lock or a CAS-style update. Reproducible with two requests within ~10ms.

Grok 4.2

LGTM mostly. Two nits: 1) the timeout value of 30s feels arbitrary — pull from config. 2) Comment on line 52 says "TODO: handle Stripe webhook" but the code below it does handle it. Stale comment.

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Why one AI isn't enough for code review

Different blind spots

Claude tends to catch logical edge cases. GPT-5.5 is strong on patterns and conventions. Gemini surfaces concurrency and performance issues. Grok is direct about what doesn't matter — useful for noise reduction.

Disagreement is signal

When 3 of 4 models flag the same issue, you know it's real. When they disagree, that's exactly the line worth investigating.

Synthesis ranks the bugs

Hit Synthesize after the four reviews finish. multimind merges them into a deduplicated list, weighted by how many models flagged each issue.

Watch out: AI code review is a second opinion, not a substitute for tests, type checking, or a human reviewer on anything load-bearing. Use it to catch what your team would have caught on a slow Monday — not to replace the slow Monday.

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