See CodePerformance in action on real open-source projects.

Experience how CodePerformance identifies real performance bottlenecks — and tracks them to verified improvement — without connecting your own repository.

These demos are generated directly from popular open-source projects, exactly as they appear in Everdone.

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Just real reviews

Why we created these demos

Performance tools are hard to evaluate from claims or benchmarks alone.

So we reviewed well-known open-source repositories — frameworks, libraries, and tools your team already knows — using CodePerformance.

What you'll see:

Real performance bottlenecks surfaced by AI
Clear severity levels (High / Medium / Low) based on impact
Concrete fix suggestions with expected gains
Issues tracked through performance review states
Real-world complexity handled thoughtfully

This is exactly what CodePerformance produces when you run it on your own code.

See it in action

Explore real AI-powered performance reviews from popular open-source projects — exactly how bottlenecks appear, get tracked, and get verified in Everdone.

Next.js

AI-reviewed PRs highlighting bugs, security risks, and performance issues in a modern React framework.

View performance review

FastAPI

AI code review for a high-performance Python API, with clear issue severity and fix suggestions.

View performance review

Express.js

PR and branch reviews for Node.js web apps, surfacing reliability and performance concerns.

View performance review

React

Component-level code reviews identifying potential bugs and optimization opportunities.

View performance review

Socket.io

AI analysis of real-time communication code, flagging edge cases and performance risks.

View performance review

NestJS

Structured backend code reviewed for correctness, security, and maintainability.

View performance review

Django REST Framework

AI-powered review of enterprise-grade APIs, highlighting security and logic issues.

View performance review

Pandas

Function-level reviews for complex data processing code, with performance and correctness insights.

View performance review

Hugo

Static site generator code reviewed for bugs and inefficiencies across core logic.

View performance review

Rustlings

Educational Rust code reviewed for correctness and best-practice improvements.

View performance review

Terraform

Infrastructure-as-code reviews identifying configuration risks and performance concerns.

View performance review

ZAP (OWASP)

Security automation code reviewed with a focus on vulnerabilities and defensive gaps.

View performance review

What to look for in these demos

When exploring the performance reviews, notice:

How bottlenecks are explained clearly
How severity reflects real performance impact
The practicality of fix suggestions
How issues are grouped and tracked
The visibility of status and ownership
How re-reviews verify improvements
How CodePerformance handles large, complex, or performance-critical codebases

These are the same signals you'll see when reviewing your own repositories.

Ready to try it on your own repo?

You've seen how CodePerformance works on widely used open-source projects.

Now see how it helps your team find, fix, and verify performance improvements in your own code.

Start with 200 files free

No credit card. No setup. Connect GitHub and review in minutes.

How these reviews were created

We forked each repo
Imported it into Everdone
Selected PRs, branches, or representative files
Ran CodePerformance
Made the results publicly viewable as live demos

Everything you see here is exactly what CodePerformance produces — no edits, no manual tweaks, no smoke and mirrors.

FAQ

Turn performance findings into verified improvements — not assumptions.

Start with 200 files free. No credit card. No setup.

Review your first 200 files for free
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200 files free