GitMir vs Greptile
Greptile reviews a pull request against a graph of the codebase. GitMir adds the review of what the commit changed in the business logic of the product — and the same understanding for the agent before it writes.
Updated
Keep Greptile. GitMir makes it stronger
Yes. Code review and business-logic review answer different questions about the same commit, and a team can run both.
What the change reaches in the product — given to the agent before it writes and to the reviewer before review.
GitMir Business Review reports which customer paths, status flows, rules and records a push changed, computed from two versions of the product model.
The next change is sized against the same current model of the product instead of starting from nothing.
Saved documents are checked against what the product does, and Business Review names the requirements a push touched.
How to connect
Keep Greptile on your pull requests; add GitMir Business Review to the project, and connect your agents to GitMir over MCP.
When GitMir is the review
GitMir does not replace Greptile for line-level code review. If the question your review has to answer is what a push does to the product — which customer paths, status flows, rules and records changed, and which problems it brought or settled — GitMir Business Review answers it on its own: computed from two versions of the product model, with no model opinion about the commit. Preview — free for now.
When Greptile on its own is enough
- What you need from review is comments on the lines of each pull request: bugs in the diff, style, missing tests.
- Your reviewers already know the product well enough to judge what a change does to it.
Add GitMir Business Review when the question is what a push did to the product — which customer paths, status flows, rules and records changed.
The same repository, questions
and AI model for both
Fifty questions in the words work is assigned in, the same model and settings for every system, answers graded blind.
Greptile works with the code
and its sources. GitMir works
with the business logic
Greptile
Review-time reasoning over files, functions, classes and dependencies, scoped to the change in front of it.
Reviews pull requests against a graph of the codebase, catching what a diff alone hides. The reasoning happens at review time and is scoped to the change; the understanding it builds is spent on that PR rather than accumulated as a product model.
GitMir
Features, rules, customer paths and how they connect, built from your code and kept current with every push.
GitMir establishes what a product does once, from the repository, and serves each task only what it needs — with every statement traceable to the source it came from.
Understanding built for one pull request is spent on that pull request. The next change starts from nothing again, and so does the next agent.
| Dimension | Greptile | GitMir |
|---|---|---|
| Primary layer | Code Review | Meaning / Product |
| What it understands | Files, functions, classes, dependencies | What the product does and how it behaves |
| Relationships | Code graph | Business + technical |
| AI agent context | Review agents | Established product knowledge |
| Change impact | PR / code impact | Product-logic level |
| Primary buyer | Engineering teams | CTO / VP Eng / Product / AI |
Positioning per each vendor’s own public description. Nothing here says a tool is bad at what it is built for.
Asked before choosing
Yes. Code review and business-logic review answer different questions about the same commit, and a team can run both.
GitMir does not replace Greptile for line-level code review. If the question your review has to answer is what a push does to the product — which customer paths, status flows, rules and records changed, and which problems it brought or settled — GitMir Business Review answers it on its own: computed from two versions of the product model, with no model opinion about the commit. Preview — free for now.
Keep Greptile on your pull requests; add GitMir Business Review to the project, and connect your agents to GitMir over MCP.
Understanding built for one pull request is spent on that pull request. The next change starts from nothing again, and so does the next agent. GitMir builds the business logic of the product once — features, rules, customer paths and how they connect — keeps it current with every push, and gives the part a task touches to people and to AI.
Benchmark 001: one repository, fifty questions in the words work is actually assigned in, the same AI model and settings for every system, answers graded blind. GitMir's answers lost 8% of the score to errors and omissions against 34% for Greptile, on 8.4K tokens of context per question against 42.7K. The full method and every number are published.
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