Insights

Insights on AI-native quality engineering

Notes from building AI systems inside real delivery pipelines — what works, what quietly fails, and what interviewers actually ask about it.

Agent or script? A decision framework for AI in test automation

Most QA teams reach for an agent when a script would be cheaper and more reliable. A practical framework for deciding which one a task actually needs.

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Self-healing test automation quietly hides real defects. Here is how to stop it.

Self-healing keeps suites green, which is the problem. A three-layer design, plus the heal history and review loop that stops it masking regressions.

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AI test generation without hallucinated steps: a grounding checklist

Why LLM-generated test cases invent steps that do not exist, and the retrieval, structuring and evaluation controls that stop it happening at production scale.

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Next cohort

The practice behind the writing.

Everything here is taught in the 100-day program, with a mentor and reviewed project work.

Cohort snapshot35 seats
01100 days live + self-paced15 wks
02Mentor-led weekend classes10 hrs/wk
038 guided projects + capstoneportfolio
04Interview prep & career supportongoing

Weeknight office hours · lifetime access to recordings · one accountable mentor across all 100 days

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