We just launched CodeReview, the second service under Everdone, our work-as-a-service platform for engineering teams.
Our first service, CodeDoc, focused on helping teams understand large codebases by generating and keeping documentation updated.
With CodeReview, we’re tackling a different problem: code reviews that don’t stop at comments.
What CodeReview does
- Reviews GitHub PRs or branches using AI
- Flags issues across bugs, security, and performance
- Assigns severity (high / medium / low)
- Provides suggested fixes with explanations and example code
The key difference is that reviews become a shared, trackable workflow:
- Issues live in a dashboard (not just PR comments)
- Teams can assign owners and track status
- Fixes can be re-reviewed
- AI verifies whether issues are actually resolved
Think of it as lightweight issue tracking, but scoped purely to code review.
Some details
- No setup, no agents, no pipelines
- Unlimited team members
- Public and private repos supported
- Code is never used for model training
- Usage-based pricing: first 200 files free, then $0.05 per file per review (early access)
We’ve also published live demos on popular open-source repos, so you can see real output without signing up.
This is still early, and we’re actively looking for feedback—especially around:
- Signal vs noise in detected issues
- PR-only vs broader branch reviews
- How people want re-verification to behave
We just launched CodeReview, the second service under Everdone, our work-as-a-service platform for engineering teams.
Our first service, CodeDoc, focused on helping teams understand large codebases by generating and keeping documentation updated.
With CodeReview, we’re tackling a different problem: code reviews that don’t stop at comments.
What CodeReview does - Reviews GitHub PRs or branches using AI - Flags issues across bugs, security, and performance - Assigns severity (high / medium / low) - Provides suggested fixes with explanations and example code
The key difference is that reviews become a shared, trackable workflow: - Issues live in a dashboard (not just PR comments) - Teams can assign owners and track status - Fixes can be re-reviewed - AI verifies whether issues are actually resolved
Think of it as lightweight issue tracking, but scoped purely to code review.
Some details - No setup, no agents, no pipelines - Unlimited team members - Public and private repos supported - Code is never used for model training - Usage-based pricing: first 200 files free, then $0.05 per file per review (early access)
We’ve also published live demos on popular open-source repos, so you can see real output without signing up.
This is still early, and we’re actively looking for feedback—especially around: - Signal vs noise in detected issues - PR-only vs broader branch reviews - How people want re-verification to behave
Link: https://everdone.ai
Happy to answer questions.