Improving code reviews with AI agents
summary
AI agents triage pull requests, auto-comment and prep diffs so reviewers focus on design decisions, not nitpicks, using tools like GitHub Copilot to run agents that download the repo, analyze tests and surface likely bugs. Agents catch some issues humans miss but also produce noisy, low-value comments that make reviewers tune out; the signal-to-noise shifts dramatically when the agent has full repo context versus only just the diff. Practical patterns from teams show agents reduce context-switching but don’t replace human judgment.
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