Reply in the thread
Ask for an explanation with examples from the same repository, a fix written in your codebase's style, or whether the pattern appears elsewhere.
iReviewCode review
AI code review that reasons out loud.
iReview reviews every pull request with the context of your whole codebase. It flags bugs, security issues and style problems before a human reviewer picks it up, and streams its reasoning so you can see how it got there.
Works with GitHub, GitHub Enterprise Server and Azure DevOps. Supports TypeScript, Python, Java, Go, C# and more, with guidelines for each language.
2 passeson every finding: a draft, then a self-check
35+file patterns skipped automatically, from tests to lock files
5 rolesin the access hierarchy, from viewer to organization owner
30sfor a fast review. The most thorough tier takes up to 10 minutes
How it works
From pull request to posted comment, in three stages.
STAGE 01
Ingest and build context
Paste a pull request link, or let a webhook start the review.
- Non-source files filtered out by more than 35 patterns: tests, lock files, generated code, binaries
- Changed files split at syntax-tree boundaries and indexed per project for semantic search
- Language and framework detected automatically
STAGE 02
Analyze and validate
A draft pass, then a second pass that checks the draft.
- Relevant existing code and the signatures of called functions added as context, which keeps suggested fixes grounded
- Draft findings ranked critical, high, medium or low
- The self-check confirms line numbers, makes sure fixes would actually run, and drops low-confidence findings
- Existing threads and earlier reviews checked, so the same point isn't raised twice
STAGE 03
Post and track
Findings land where your team already works.
- Comments posted straight into the GitHub or Azure DevOps thread
- Reasoning streamed live and stored for replay
- Token use, model and cost recorded for every review
Capabilities
A reviewer you can talk back to.
Memory per thread
Each thread keeps its own conversation history, so a follow-up question doesn't start from zero.
Review tiers
Choose between fast and thorough, from about 30 seconds to 10 minutes per review.
Consistent standards
The same checks run on every pull request and every file, whoever happens to be free to review.
Spend you can see
Token usage and cost rolled up by organization, project and user.
Tenant isolation
No data crosses between organizations, and every webhook is verified with an HMAC signature.
Security & deployment
Built to be checked, not just trusted.
- Platforms
- GitHub, GitHub Enterprise Server and Azure DevOps. Started by a pasted URL or a webhook.
- Access
- Five-level role hierarchy, resolved per organization and per project.
- Audit
- Every review logged. Admin impersonation, deletions and role changes recorded in the audit trail.
- Isolation
- Complete tenant isolation and webhook HMAC validation.
- Built for
- Engineering organizations that need governance: access control, spend management and compliance.
Why it's different
Compared with manual review alone.
| Area | Manual review only | With iReview |
|---|---|---|
| Consistency | Depends on who reviews | The same standard on every pull request |
| Coverage | Large diffs get skimmed | Every changed source file is read |
| Turnaround | Hours or days waiting for a reviewer | Minutes, before a human picks it up |
More products
The other five products.
Next step
Run iReview on your next pull request.
Tell us where your code lives and how review works today. We'll show you iReview on a pull request of yours.