Versioning and Change Control for Engineering Quality Standards
Unversioned standards drift silently until AI applies them at scale.
Senior Correspondent, Agentic Systems
Priya spent eight years as a principal QA architect at mid-sized fintech firms before turning to full-time reporting on how autonomous systems are reshaping software delivery. She focuses on the structural and organizational side of agentic pipelines, with particular attention to where human oversight breaks down.
6 stories
Unversioned standards drift silently until AI applies them at scale.
Organizing AI agents matters more than individual agent quality for shipping trustworthy code.
Agents need machine-enforceable specs to stay aligned with human intent.
When agents generate both code and tests, they encode the same misunderstanding twice.
AI agents speed up coding far faster than testing and deployment can keep pace.
QA engineers shift from running tests to defining what correct means before AI writes code.