What 'Context-Aware Code Review' Really Means for AI Tools

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The term 'context-aware code review' is widely used by AI code review tools, but its meaning varies significantly across products. Most AI tools begin their review by analyzing the pull request diff — the changed files, added or removed code, and updated tests. This approach works for simple changes but falls short when a modification affects behavior outside the files being edited. True context-aware review goes beyond the diff to examine related services, shared utilities, historical decisions, and cross-service dependencies. Understanding this distinction helps developers evaluate whether an AI tool genuinely comprehends their codebase or is merely reviewing surface-level changes.

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