AI Code Review
AI code review uses a large language model to automatically analyze code changes — flagging potential bugs, security issues, style violations, and suggesting improvements — as a first-pass complement to human code review, not a full replacement for it.
AI code review tools integrate into the pull request workflow, commenting directly on a diff much like a human reviewer would — often catching a genuinely useful class of issues quickly: obvious bugs, missing null checks, inconsistent naming, or common security anti-patterns, freeing human reviewers to focus more on architecture and business logic.
Its known limitation is a lack of deep contextual and architectural understanding — an AI reviewer can miss whether a change actually fits the broader system design or aligns with team conventions not explicitly documented anywhere it can access, which is why it's used as an efficient supplement to human review, not yet a trusted substitute for it.
