# Guides to code review with agents

URL: https://codepanel.ai/guides

Guides to code review between agents: the coding agent loop, several agents on one PR, rules agents follow, models, cost, false positives and evaluation.

## The agent review loop

- [Code review in a coding agent loop](https://codepanel.ai/guides/code-review-with-coding-agents.md): 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](https://codepanel.ai/guides/several-agents-one-pull-request.md): 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](https://codepanel.ai/guides/review-rules-for-agents.md): 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](https://codepanel.ai/guides/agentic-code-review.md): 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](https://codepanel.ai/guides/reviewing-ai-generated-code.md): 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

- [Code review checklist](https://codepanel.ai/guides/code-review-checklist.md): 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](https://codepanel.ai/guides/secure-code-review.md): 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](https://codepanel.ai/guides/code-review-best-practices.md): 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?](https://codepanel.ai/guides/what-is-a-pull-request.md): 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](https://codepanel.ai/guides/pr-review.md): 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

- [One model or a panel of reviewers?](https://codepanel.ai/guides/single-model-vs-panel.md): 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](https://codepanel.ai/guides/reducing-false-positives.md): 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](https://codepanel.ai/guides/evaluating-ai-code-reviewers.md): 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](https://codepanel.ai/guides/code-review-metrics.md): 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

- [Best LLM for code review: benchmark results and how to choose](https://codepanel.ai/guides/choosing-a-model-for-code-review.md): 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](https://codepanel.ai/guides/ai-code-review-cost.md): The token math behind an AI code review: diff size, surrounding code, repo rules, output and push rounds, with worked examples at list prices.