"Review this code" gets shallow comments. The review contract gets findings with severities, a checklist, and a verdict.
Overview
The difference between a useless AI review and a useful one is the contract: what to look for, how to report it, and what verdict to end with. This setup loads the baseline contract — a correctness review of a complete file with the twelve-check correctness checklist, the four-level severity standard ([CRITICAL] through [NIT], severity reflecting impact not effort), findings-only output with exact locations, and a verdict rule. It's the template every other review on this site specializes from.
Workflow
1
Generate once, reuse per review
The contract is the standard; paste each file or diff into the code slot and every review comes back in the same shape.
2
Read findings by severity
CRITICAL first — the grouping rule means the things that block merge are always at the top.
3
Hold the AI to the verdict rule
"Base the verdict only on the findings listed" — no vibes-based approvals.
Why This Works
A checklist the AI must work through beats an open-ended "look for problems"
Severity tagging turns prose into a triageable review
Findings-only output cuts the praise padding that hides real issues
Best for
Developers using chat AIs as a second reviewer
Teams that want review consistency across members and models
Anyone tired of "looks good, consider adding comments" reviews
Not for
Making the AI rewrite the code — that's the Refactor Prompt Builder (review judges, refactor changes)
A persistent reviewer persona — that's a System Prompt (SPG); this is a per-review task contract
Use cases
Getting findings with severities instead of vague observations
Standardizing what every AI review must check and report
Ending every review with a defensible verdict
Tip: Save time by exploring related resources and tools that integrate with this workflow.
Found a bug, have a suggestion, or want to report something confusing? Send a short note.
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