The original title is "AI Can Generate a Test Suite. That Does Not Mean You Have One."

Short summary

AI can instantly generate browser test suites that pass, but a passing suite is not the same as a trustworthy one. Teams must measure useful coverage, maintainability, failure clarity, and regression detection rather than test count or initial pass rate. The article argues that AI scales whatever testing strategy you already have—weak inputs produce weak tests—and recommends structured test formats, full agent decision logging, prompt versioning, and evidence retention before relying on AI-generated tests in release decisions.

• •Generated test suites that pass are not automatically trustworthy—coverage, maintainability, and regression detection matter more than test count
• •AI scales your existing testing strategy: vague requirements and inconsistent data produce vague, brittle tests
• •Teams need prompt versioning, agent decision logging via OpenTelemetry, and evidence retention before AI-generated tests enter release pipelines

Generated with AI, which can make mistakes.