Pick the AI reviewer whose comments your engineers act on, and check what it stores before you connect it. GILD compares CodeRabbit, Greptile, and GitHub Copilot code review on tuning, learning, context, data, and cost, from each vendor's own documentation.
When you need this
- Pull requests arrive faster than reviewers can read them.
- Coding agents now open a growing share of your pull requests.
- You want written review standards applied the same way on every change.
Evaluation criteria
Tuning
Can you tell it what to flag and what to skip?
Look forRules scoped by path: CodeRabbit path instructions in .coderabbit.yaml, Greptile strictness on a 1 to 3 scale with ignore patterns, and Copilot instruction files, including path-specific ones.
Learning
Does it learn from how your reviewers respond?
Look forCodeRabbit turns replies in review chat into Learnings, with an optional window of up to 30 days for admins to approve each one. Greptile learns from reactions and replies, and its documentation says it stops repeating ignored comments after 2 to 3 weeks.
Context
Does it read beyond the diff?
Look forGreptile reviews each pull request against a graph of the whole repository. CodeRabbit keeps a searchable index of the code so reviews can draw on files outside the diff.
Data
What does it store, and does it train on your code?
Look forCodeRabbit stores encrypted code and dependency caches, a code index, and Learnings. It does not train on private repositories, and its privacy policy reserves the right to train on open-source repositories. Greptile Cloud keeps code cached until access is revoked, and its security page reserves the right to train on de-identified data until you opt out.
Cost
How does spend grow with review volume?
Look forCodeRabbit includes 5 to 12 PR reviews per developer per hour by plan, then bills US$0.25 per reviewed file as pay-as-you-go usage, with no spending cap until an admin sets one. Greptile Pro has no seat fee and bills prepaid credits at US$1 each, with a Base review at 1 credit and Apex at 10. Copilot code review draws AI credits, which GitHub estimates at US$0.05 to US$1 per review on Lite effort.
Questions to ask vendors
- Which paths can we exclude, and where in the repository do review rules live?
- What does the reviewer keep after a review, and how do we turn retention off?
- Does the vendor train on any of our code, including public or open-source repositories?
- Past the included reviews, does review pause or bill, and under what cap?
- Can the reviewer approve a pull request, and who decides whether that is on?
Red flags
- No way to scope or silence rules by path.
- Storage claims on a marketing page that the documentation does not match.
- Auto-approval switched on before the team has measured which comments lead to changes.
- Comment counts offered as the measure of value.
Worth evaluating
Listed in no particular order.
Sources
- Official documentation
- 13
- CodeRabbit docs: Path-based review instructions
- CodeRabbit docs: Learnings
- CodeRabbit docs: FAQ (data security)
- CodeRabbit Privacy Policy (updated October 16, 2026)
- CodeRabbit docs: Plans and pricing
- CodeRabbit docs: Usage-based reviews
- Greptile docs: Controlling nitpickiness
- Greptile docs: Memory and learning
- Greptile docs: Graph-based codebase context
- Greptile security practices
- Greptile pricing
- GitHub Docs: About Copilot code review
- GitHub Docs: Repository custom instructions