Generate tests with an AI coding platform
Ask it to write tests for a real module, then run them against your actual code.
GENERATED TESTS, SCORED
Test Gen Bench
Enter what you observed about tests an AI coding platform generated and get a computed test-generation-quality score.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Record what you observed
Coverage percentage, false positives, how meaningful the assertions are, and whether edge cases were covered.
Get a quality-weighted score
Coverage alone isn't enough — the formula weights meaningful assertions and edge-case coverage, and penalizes false positives.
Continue learning: Best AI coding tools for startups · AI coding tools and fake packages
Frequently asked questions
Does Test Gen Bench generate or run tests itself?
No. You generate tests with your chosen AI coding platform and run them yourself, then enter what you observed. Test Gen Bench computes a score from those inputs — it has no access to the platform or your actual test suite.
Why does a false positive count so heavily against the score?
A test that fails on correct code trains a team to ignore CI failures, which is more damaging than simply having fewer tests. The scoring formula reflects that a false-positive-heavy suite is worse than a smaller, reliable one.
What counts as a 'meaningful' assertion?
One that checks actual expected behavior (specific return values, state changes, error messages) rather than a trivial check like 'the function didn't throw.' Trivial assertions pass even when the logic is wrong.
Is high coverage always a good sign?
Not on its own — 100% coverage of trivial assertions catches almost nothing. This tool intentionally weights assertion quality and edge-case coverage alongside raw coverage percentage.
How We Compare
| Feature | MVPHub | Codecov / coverage reports | manual test review checklists |
|---|---|---|---|
| Quality-weighted scoring beyond raw coverage % | Included | Not included | Limited |
| Instant computed score from your observations | Included | Not included | Not included |
| Automated coverage measurement from real test runs | Not included | Included | Not included |
| CI pipeline integration | Not included | Included | Not included |
Codecov measures actual coverage automatically from a test run; a manual checklist has no fixed scoring formula. Test Gen Bench sits between the two — a fast, structured score for the qualitative aspects raw coverage tools miss, like assertion meaningfulness.
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