Session

Ensuring Software Quality in the world of AI Developers

Like it or not, AI agents can now turn a loosely written paragraph of requirements into a production-ready pull request in minutes — impressive, and horrifying. When code is generated faster than humans can internalize it, QA becomes the last line of defense, and quality practices must evolve to match: strengthening test plans to validate intent over implementation, expanding automated coverage for AI-specific failure modes, tightening review processes, improving requirement clarity, and adding guardrails so AI-authored changes can't slip past quality gates unchecked. You'll walk away with a clear picture of the new risks AI introduces — and practical strategies to help your team move fast without letting AI-generated pull requests quietly YOLO their way into prod.

Matthew-Hope Eland

Wizard at Leading EDJE

Columbus, Ohio, United States

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