CodeProof generates test suites that catch the specific failure modes of AI-generated code — hallucinated APIs, off-by-one errors, missing null checks, and more.
Not just another test generator. CodeProof understands where AI code fails.
Detects 7 common AI failure patterns: hallucinated APIs, off-by-one errors, missing null checks, incorrect error handling, type mismatches, boundary violations, and race conditions.
Installs on your repo and automatically reviews PRs. Test suggestions posted as review comments — no context switching required.
Generates tests for Vitest, Jest, and pytest. Supports TypeScript, JavaScript, Python, Go, Java, Ruby, and Rust codebases.
Run codeproof run to analyze staged changes and generate tests. Fits into any CI/CD pipeline or local dev workflow.
Only analyzes what changed. Works with staged changes, committed diffs, or PR diffs — no full-repo scans needed.
Drop a .codeproof.yml in your repo to configure frameworks, output directories, and ignored paths. Run codeproof init to get started.
CodeProof parses your diff and identifies functions, classes, and code patterns that AI tends to get wrong.
Using Claude, it generates targeted test cases that specifically probe AI failure modes — not just happy paths.
Tests are written to your test directory or posted as PR review comments. Run them, merge them, ship with confidence.
Start free. Scale when you need to.
For individual developers
For serious developers
For engineering teams
Free to start. No credit card required.
Get Started