Code review
AI code review
AI code review uses automated analysis to inspect code changes for security, quality, dependency, and test risks before humans approve or ship them.
What it means
AI code review is automated review of source code and code changes. It can inspect a pull request, a repository snapshot, or a selected path for patterns that deserve attention before the change reaches production.
Why it matters for AI-written code
Coding agents can produce large changes quickly. Review capacity does not scale at the same pace, so teams need repeatable checks that catch obvious security, quality, dependency, and test gaps before human reviewers spend time on design and intent.
Guard and Fleet context
Guard does not reduce the product to pull-request review. PR review is one entry point into the green-zone model: Guard measures project health, reruns audits, prepares bounded improvements, and keeps humans in control of risky changes.
How Enji Guard helps
Guard can review code in context, open issues for risks that need planning, and prepare narrow pull requests when a fix is safe enough for human approval. That keeps code review connected to maintained project health instead of isolated comments.
Enji Guard