Greptile

What is Greptile?

Greptile is an AI code reviewer for teams working with code repositories. It examines changes and uses project context to look for problems that may not be obvious from one line alone. The aim is to add useful review feedback before a change is merged. An automated comment is a starting point for investigation, not proof that a bug exists or that the rest of the code is correct.

Why repository context matters

Greptile works as a repository review assistant with features for custom context and learning from team feedback. Context-aware code review is useful when a change depends on behaviour elsewhere in a project. For example, a helper may accept an empty value even though a new caller assumes it always returns a string. Cross-repository context is available through the relevant product tier.

A short example

A developer changes a CSV import function and accidentally drops the final record when the file has no trailing newline. Greptile could be used as part of the pull request review tool chain to look for that edge case. Keep a small fixture and expected output in the repository. A concrete failing example is easier for both a person and an assistant to evaluate than a vague request to improve quality.

Set up a useful first review

Connect Greptile to an authorized test repository and supply the project’s review rules. Explain important conventions without burying the assistant in unrelated instructions. Start with a small change whose behaviour you understand. For automated code review, record which comments identify a real problem, which need clarification and which are not relevant. That gives the team a fairer evaluation than simply counting comments.

What a human should still check

Read the generated feedback beside the actual diff. Reproduce an alleged bug before making a broad rewrite. Run tests for the changed behaviour and inspect permissions, data access and migration steps where relevant. The developer review workflow also includes deciding whether a change belongs in the release at all. A clean automated review cannot make that business decision for the team.

Use feedback to improve the process

Greptile can help make review more consistent across repeated changes, but the team should avoid treating every suggestion as mandatory. Add helpful rules when the same project-specific issue recurs. Remove guidance that causes noise. Compare the tool with a known change containing a real regression and a clean change, so you assess both useful detections and unnecessary interruptions.

A useful check before you continue

Evaluate a clean pull request as well as one with a known bug. A reviewer that produces many comments on correct code can create extra work. Count verified useful findings and the time needed to assess them, rather than choosing a tool from comment volume alone.

Understand the new billing model

Greptile currently sells Pro capacity through review credits at $1 per credit, without a per-seat fee. Base, Plus and Apex reviews consume different amounts. Older comparisons that quote a standard $30 per developer can therefore be misleading. Estimate cost from the number and depth of reviews your team expects to run, including retries and repeated updates to a pull request.

Plans and pricing

Who it suits

Greptile is worth considering for developers and teams who already use a repository-based review process and want an additional check. A solo developer can begin with the documented free allowance. For a larger team, compare useful findings with noise, total credit use and review time. Keep test execution, human approval and deployment controls as part of the normal release process.

Common questions

Is Pro still priced per developer?

The current public page lists $1 per credit with no seat fees. Check the live page before purchase.

Should every suggested fix be accepted?

No. Verify the issue against the code, reproduce it where practical and review the proposed change.

Check the official plans and access details before choosing your setup.

For related options on SimplifyAITools, see CodeRabbit and Claude Code.