End-to-End Testing an AI Application with Playwright and GitHub Actions
Why End-to-End Testing? LLMs are notoriously finicky. You can try to corral them into an API, fine-tune them, lower their temperature, select JSON mode, pray, but in the end you may still end up with a hallucination rate of 15-20%. Developers expect ...
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klement Gunndu
Agentic AI Wizard
The point about balancing test robustness against LLM variance is spot on — using Playwright with regex matchers for AI output validation is a clever middle ground between strict assertions and no testing at all.