Performance review should be clear. And now it is.
You shouldn’t have to wait for slowdowns, incidents, or profiler deep dives to find performance problems.
CodePerformance brings performance review into one simple workflow — so your team can find, fix, and verify bottlenecks with confidence.
How CodePerformance works
Performance optimization doesn’t have to be reactive or fragmented. Here’s how CodePerformance keeps it focused and effective.
1. Connect GitHub
Securely link your GitHub account — no setup, no configuration, no pipelines. After connecting:
No DevOps work. No permissions maze.
2. Select PRs, branches, or files
Review performance at the level that makes sense for you. You can:
Run targeted performance checks or broader reviews — your call.
3. AI reviews your code for performance issues
Once selected, AI analyzes the code and identifies meaningful performance bottlenecks, such as:
Each issue includes:
No micro-optimizations. No speculative advice.
4. Track, assign, and fix collaboratively
All performance issues appear in a shared CodePerformance dashboard. Your team can:
CodePerformance works like a lightweight project board — focused only on performance improvement.
5. Re-review and verify fixes
When fixes are pushed to GitHub:
Optimize with confidence — not assumptions.
6. Keep a complete performance history
Every issue keeps a full audit trail:
Your team always knows:
Performance becomes visible, trackable, and repeatable.
Simple, usage-based pricing
You only pay for the files you review — not per user. Shared across your entire team.
per file per review
50% off early access pricing