Estimated reading time: 4 minutes
The recent boom in the adoption of AI coding tools comes with hidden debt.
AI coding assistants like GitHub Copilot and Cursor promise a productivity revolution. Developers can generate entire functions in seconds, ship features faster, and reduce repetitive work. On the surface, it looks like a win.
But here’s the paradox: the more teams lean on copilots, the more hidden costs start to pile up. Output rises, yet so do review queues. Delivery feels faster, yet stability slips. Leaders think they’re gaining velocity, but what they’re building is a new kind of debt.