Best AI for code review
Code review is judgment, not pattern matching. The right model points out what could go wrong in production — not just style nits. The wrong model just says "looks good!" or, worse, suggests pointless renames.
Opus is the only model that reliably catches real production issues — race conditions, missing error paths, unhandled edge cases — without drowning you in style bikeshedding.
Sonnet is fast enough to use on every PR. Save Opus for the gnarly ones.
Review this PR. Focus on what could go wrong in production — race conditions, error handling, edge cases. Skip style nits. [paste diff]
What to look for in any model
- 1Tell the model what the PR is for — context turns "looks fine" into real feedback
- 2Ask specifically for "what could break in production," not "what do you think"
- 3Skip the model for style — your linter catches that
- 4For security review, also run it through a model with web search (Perplexity) for known CVEs
Recipes for this task
Browse all recipesCommunity-built prompt templates already tuned for code review. Fill in the variables and run.
Run it yourself — free, no card
See the actual output, the actual cost, the actual latency. StudyAIMastery is free to start.