It’s Thursday afternoon. The sprint is winding down. A developer pushes the last commit, marks the ticket as “Dev Complete,” and moves on to the next item in the backlog. Somewhere across the floor — or across a Slack channel, or across a time zone — a tester picks up...
Overview The software quality assurance (SQA) discipline is on the cusp of a transformation driven by generative AI, large language models (LLMs), and autonomous “agent” systems. In the next five years, AI will profoundly reshape how we test software and redefine...
Quality In, Quality Out: The New Imperative for Testers in the AI Era For decades, the language of software testing has been one of precision, logic, and code. We communicated through test scripts, defect reports, and execution logs—a dialect understood by machines...
Artificial intelligence is making rapid inroads into software quality assurance (SQA). Test scripts now self-heal, machine learning models predict bug-prone code, and bots churn through thousands of test cases overnight. With such advances, it’s fair to ask: Will AI...
