The emergence of agent skills — modular, reusable blocks of natural language instructions and metadata — is transforming the developer’s role.

Moving fast without losing control is the core promise of DevOps. Extending this discipline to AI is the next logical step, supported by existing frameworks.

In traditional software, requirements are static design-time artifacts. In AI-enabled systems, they must be continuously observed and enforced in production. Learn how AI collapses the boundary between design-time and runtime, shifting requirements toward behavioral constraints, continuous verification, and shared ownership across engineering and operations

Move GenAI in QA from test‑factory to life‑cycle intelligence: AI proposes coverage and data, humans review, deterministic automation executes—focus on risk‑aligned coverage, drift detection, and governance.