Guides

Guides to code review with agents

Guides to code review between agents: the coding agent loop, several agents on one PR, rules agents follow, models, cost, false positives and evaluation. They apply to any coding agent and reviewer, not only CodePanel.

The agent review loop

A coding agent and reviewer agents working one pull request to merge.

Code review in a coding agent loop

Claude Code, Codex or Cursor with a panel of reviewer agents: open a PR, wait for the review, fix or rebut each finding, rate it, stop at the round limit.

Running several agents on one pull request

A coding agent, reviewer agents and an orchestrator on one PR: who owns what, one writer per branch, round limits, rebuttals, and when a person decides.

Writing review rules that agents follow

One rules file for reviewer agents and the coding agent: checkable one-line rules, what not to flag, keeping rules on the base branch, and the size budget.

Agentic code review

Code review with agents on both sides: reviewers report, the coding agent fixes or disputes, the orchestrator judges. Ratings and disputes from 112 real PRs.

Reviewing AI-generated code

What goes wrong in code a coding agent wrote, with real findings from CodePanel's own pull requests, a table of what to check, and rules an agent can paste.

Review practice

How reviews are asked for, answered and settled.

Code review checklist

A copyable code review checklist in six groups: the one CodePanel's reviewers run on each pull request, how to grade a miss, and which items belong in rules.md.

Secure code review

Secure code review: what to check in a diff, a copyable checklist tied to the 2025 CWE Top 25 and OWASP Top 10:2025, and two real catches in agent-written code.

Code review best practices

Code review practices that hold up in research and between agents: small changes, written rules, answered findings, learned rules, and people on policy.

What is a pull request?

What a pull request is: a request to merge one branch into another. Its parts, how it merges, and what changes when a coding agent opens it.

PR review: writing a review a coding agent can act on

PR review for coding agents: what to read, what a review should return, and a real CodePanel review taken apart, part by part.

Review quality

Panels, false positives and how to measure a reviewer.

One model or a panel of reviewers?

When a panel of AI reviewers from different model families beats one stronger model, what the orchestrator adds, and what each setup costs.

Reducing false positives in AI code review

Why AI reviewers raise false alarms and how to cut them: a filtering stage, a severity rule, repo rules, tighter scope and rating what was wrong.

How to evaluate an AI code reviewer

Test an AI code reviewer on your own code: known-defect fixtures, clean changes, recall and false positives, line accuracy, repeats and judge bias.

Code review metrics: what to track when agents write the PRs

Code review metrics for agent-written PRs and model reviewers: precision, blocking recall, fix vs dispute rate, rounds to green and cost per PR.

Models and cost

Which models to review with and what a review costs.

Best LLM for code review: benchmark results and how to choose

Which LLM is best for reviewing code? Frontier and open models ranked on real bugs, with intervals, false alarms and cost per review, and how to pick one.

What AI code review costs per pull request

The token math behind an AI code review: diff size, surrounding code, repo rules, output and push rounds, with worked examples at list prices.