Question 1

Will CodePeel flood my PRs with noisy nitpicks and false positives?

Accepted Answer

No. CodePeel is engineered with a precision-over-recall philosophy. Slop detectors and static analysis filters discard stylistic fluff, while customizable profiles and repo learn/ignore rules let you permanently suppress unwanted noise.

Question 2

Does CodePeel store, retain, or train on my proprietary code?

Accepted Answer

Never. We enforce a strict Zero Data Retention policy for source code. PR diffs are processed ephemerally in-memory to generate findings and immediately purged. Your code is never used to train or fine-tune public or private AI models.

Question 3

Which AI models power CodePeel, and do I need to bring API keys?

Accepted Answer

CodePeel uses a proprietary multi-model hybrid review engine combining fast-pass syntax scanners with deep-context reasoning models. All compute, token budgets, and automatic failovers are 100% managed — no API keys or token configurations required.

Question 4

Can I use CodePeel before opening a PR or with AI coding agents?

Accepted Answer

Yes. CodePeel includes an official VS Code extension for pre-push diff reviews, plus a standard Model Context Protocol (MCP) server that lets agents like Claude Code, Cursor, Cline, and Windsurf self-review code before submitting.

Question 5

How does pricing work across public and private repositories?

Accepted Answer

All plans — including the 30-review/month Free tier — support unlimited public and private repositories. Pro ($9.99/mo) unlocks 500 reviews, automated fix PR generation (auto_fix), and unit test creation (auto_test).

Question 6

How is CodePeel different from GitHub Copilot or CodeRabbit?

Accepted Answer

While Copilot suggests code in the editor, CodePeel acts as the automated senior reviewer at your CI/CD gate. Unlike bots that only post text complaints, CodePeel generates ready-to-merge fix PRs, automated unit tests, and integrates directly via MCP.