Review code with clarity — and fix issues together, not in silos.
CodeReview analyzes your GitHub PRs or branches using AI, surfaces bugs, security risks, and performance issues — and helps your team track, fix, and verify them iteratively.It's code review as a shared workflow, not a one-time report.
Why CodeReview exists
Most code reviews stop at comments.
Issues get spotted, mentioned, and forgotten.
Fixes get pushed, but no one verifies them properly.
Context gets lost across PR comments, Slack threads, and tools.
It turns code review into a clear, trackable process, so:
Code review shouldn't end at feedback. Now it doesn't.
What CodeReview gives you
1. AI-powered issue detection
Every selected PR or branch is reviewed across:
- Bugs
- Security
- Performance
Each issue includes severity (High / Medium / Low), context, and actionable suggestions.
2. Actionable, developer-ready fixes
Every issue comes with:
- Clear description
- File name & line numbers
- Relevant code snippet
- Suggested fix with explanation
- Example code changes
No vague warnings. Just things your team can act on.
3. A shared review dashboard
All issues live in one place — visible to the entire team.
- Assign issues
- Track progress
- Discuss and resolve collaboratively
CodeReview feels less like a scanner and more like a project board for quality.
4. Iterative review & verification
Fixes don't end the story. When you push changes to GitHub and re-run a review:
- AI verifies whether issues are actually resolved
- Resolved issues are closed automatically
- Unresolved ones stay open for further action
Trust, but verify — automatically.
5. Full issue history & accountability
Every issue keeps its history:
- Assignee changes
- Status updates
- Review cycles
Nothing gets lost. Nothing is ambiguous.
How CodeReview works
Connect GitHub
Link your GitHub account and choose a repository.
Select PR, branch, or files
Review an entire PR, a branch, or specific folders/files.
AI reviews your code
Issues are identified across bugs, security, and performance — with clear severity and fixes.
Assign & fix collaboratively
Track issues using statuses: Open → In Progress → Resolved → Closed / Rejected
Re-review and verify
Push fixes, re-run the review, and let AI confirm what's truly resolved.
Who uses CodeReview
Teams running serious PR reviews
Catch issues early and verify fixes before merge.
Teams responsible for security & stability
Surface risks clearly and track remediation.
Fast-moving startups
Maintain quality without slowing velocity.
Open-source maintainers
Review contributions at scale with shared visibility.
Teams replacing scattered tools
One place to review, assign, fix, and verify.
See real reviews from real repositories.
Explore AI-generated CodeReview results from popular open source projects — exactly how issues, fixes, and verification appear in Everdone.
Next.js
AI-reviewed PRs highlighting bugs, security risks, and performance issues in a modern React framework.
FastAPI
AI code review for a high-performance Python API, with clear issue severity and fix suggestions.
Express.js
PR and branch reviews for Node.js web apps, surfacing reliability and performance concerns.
React
Component-level code reviews identifying potential bugs and optimization opportunities.
Socket.io
AI analysis of real-time communication code, flagging edge cases and performance risks.
Django REST Framework
AI-powered review of enterprise-grade APIs, highlighting security and logic issues.
Pandas
Function-level reviews for complex data processing code, with performance and correctness insights.
Terraform
Infrastructure-as-code reviews identifying configuration risks and performance concerns.
ZAP (OWASP)
Security automation code reviewed with a focus on vulnerabilities and defensive gaps.
Pricing
Usage-based. Team-friendly. No seats. No contracts.