AI-generated tests often contain subtle flaws that undermine their effectiveness while appearing correct at first glance. A validation tool could detect common anti-patterns like tautological assertions or inadequate coverage.
Build a linter-style analyzer that evaluates test suites for common AI-generated pitfalls and suggests improvements.
Monetize through premium features for teams, like integration with CI pipelines and historical trend analysis.
Start with a simple CLI tool that flags suspicious test patterns based on heuristics.
The challenge is keeping up with evolving AI coding patterns as models improve.