AI Is Shipping Code Faster. Can Your Tests Catch What Changed?
26 Oct 2026
AI coding assistants can turn a ticket into code faster than many QA teams can review, test, and sign it off. The risk is not only more defects. It is a validation process still moving at yesterday's pace.
This article looks at what changes when code output accelerates: which failure modes deserve first attention, why API checks can survive UI churn, and where continuous regression belongs in the pipeline. It also asks what still needs human judgment.
Is your testing keeping pace with AI-written code?
See which testing safeguards to add before the next merge
This article looks at what changes when code output accelerates: which failure modes deserve first attention, why API checks can survive UI churn, and where continuous regression belongs in the pipeline. It also asks what still needs human judgment.
Is your testing keeping pace with AI-written code?
See which testing safeguards to add before the next merge
Guljeet Nagpaul
Chief Product & Strategy
Guljeet Nagpaul is the Chief of Product and Strategy at ACCELQ, driving product vision and market strategy. With over two decades in enterprise software, he previously led the North American ALM practice at Mercury Interactive during its peak growth and acquisition by HP.
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