Estimated reading time: 9 minutes
How engineering leaders can embrace Continuous Testing to accelerate, not restrict AI-powered teams.
Your team just shipped three major features this week, with the help of coding assistants that generated 30% of the new feature codebase – which was of course reviewed (meticulously) by the engineering team. Your infrastructure provisioned itself. Your deployment pipeline hummed along without intervention. Birds sang.
Then your phone buzzes at 2 AM. Production is down. A “simple” AI-generated refactor broke a critical integration that your test suite never caught.
AI tools let us build features faster, but our quality practices haven’t kept pace, which creates a bottleneck that at best slows delivery, and at worst compromises reliability.
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