Code Review AI Agent

“Put an AI on our pull requests” sounds simple until the line of responsibility comes up. The code review agent reads the changes in a PR, looks for bugs, style violations and security issues, and leaves line-level remarks — but the merge stays with a human. It offloads the reviewer; it isn’t a machine stamping “approved.”

What it does

It takes a pull request, gathers context — the diff, changed files, task description, neighboring code — and checks three layers: logic, style and security. It ties remarks to specific lines and, at the end, writes a short summary: what changes and what to watch. It catches obvious and mechanical issues before a human reaches them, so the reviewer focuses on architecture and intent rather than a missed null check.

Where the line is

The agent does not press “Merge” — and that’s a contract, not a limitation. A model confidently misses subtle bugs, so its role is to flag the questionable spots, not to give the final “yes.” The human decides, seeing the remarks and summary next to the code. That way the tool speeds up review without turning it into a formality, and without the false sense that “the AI already checked everything.”

Under the hood it’s the same engineering as in AI agent development: observability at each step and cost control. Several such agents across different parts of the pipeline add up to a multi-agent system, each with its own zone of responsibility.