Building an AI Agent That Debugs Your Tests
From flaky test frustration to automated root-cause analysis
The Series
1.Why I Built an AI Agent to Debug My Playwright Tests: The problem with manual trace debugging at scale, the first prototype, and the "200 ≠ success" breakthrough that changed everything.
2.Teaching an AI Agent to Reason — Skills, Phases & Dead-End Triggers: Why unconstrained LLMs give bad diagnoses, the 7-phase structured reasoning chain, and pre-programmed guardrails that prevent common misdiagnoses.
3.Securing an AI Agent Against Its Own Input The prompt injection threat model, defense-in-depth with four layers, and why boundary markers beat content deletion.
4.Building Evals — Measuring agent quality, regression detection, and the feedback loop
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