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Existing quality assessment models for AI software are failing, highlighting a critical gap that could jeopardize software reliability.
Epic-organized LLM-generated Gherkin scenarios are rated significantly higher in quality than those generated by a naive baseline, despite similar semantic coverage.
Governance mechanisms for GenAI, intended to ensure trust and transparency, ironically increase energy consumption – unless you implement Carbon-Aware Governance Gates (CAGG).
