Catch real bugs without spamming your PRs

Augment Code Review is the only tool that catches real bugs without the noise.

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Code review quality that outperforms

Evaluated on production codebases representing real-world engineering complexity, including Sentry, Grafana, Cal.com, Discourse, and Keycloak.

ACROSS 50 PRS, ONLY AUGMENT ACHIEVED HIGH RECALL AND PRECISION.

Precision measures how accurate a tool's comments are compared to expert human reviewers. High precision = low noise, high trust. Recall measures how many real issues the tool actually finds. High recall = deeper coverage and fewer bugs slipping through.

Why other tools fall short: weak context

Cursor
LOW RECALL

Misses cross-file bugs and broken assumptions about types, contracts, and invariants.

Cursor: low Recall
GitHub Copilot
LOW PRECISION

Noisy comments developers ignore, with irrelevant or hallucinated warnings.

GitHub Copilot: Low Precision

Better models don't fix this. Better context does.

Augment's retrieval engine pulls in the exact set of files and relationships necessary for the model to reason about cross-file logic, API contracts, concurrency behavior, and subtle invariants. This translates directly into higher recall without sacrificing precision.

Augment providing detailed contextual code review

Why teams choose Augment Code Review

Purpose-built code review

Purpose-built code review

Focuses on real bugs, not lint-like comments, and is tuned to minimize false positives.

Reasoning-driven agent loop

A reasoning-driven agent loop

Gathers more context through multiple agent loops until it has enough signal to review accurately.

Superior Context Engine

Superior Context Engine

Retrieves full architectural context (dependency chains, call sites, tests) before analysis

Get more out of every keystroke.

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