From Stateless to Stateful: How Skill Files Reinvent AI-Assisted QA

AI QA tools reset context with every session, forcing teams to rebuild methodology repeatedly while exposing client data to cloud services. This approach solves both problems through skill files as persistent system context and local LLMs that keep sensitive data on-machine. The real innovation, though, shifts QA focus from automated spec-checking to human-led user expectations testing—where real product issues hide.