Meet the Scope Creep Kraken

If you've spent any time around AI-assisted software work, you already know the moment when the Scope Creep Kraken first puts a tentacle on the boat.

The project begins with a real goal and, usually, a sensible one. Build the internal tool. Clean up the reporting flow. Add the missing admin screen. Then someone discovers that the model can produce a decent draft of an adjacent feature in under a minute, and the mood in the room changes.

"Why not? We can render this on a mobile device, and it will only take 10 minutes? Go for it."

That first idea is often genuinely useful. That is part of what makes this pattern so seductive. It does not begin in incompetence. It begins in momentum.

Scope creep is older than AI, of course. Software teams have been haunted by "while we're at it" since long before anybody was pasting stack traces into a chat window. What AI changed was the rate of growth. In the old version of this problem, extra scope still had to fight its way through labor. Somebody had to build the feature, debug it, test it, and explain why it belonged. That friction was often the only thing standing between a focused project and a very educational disaster.

AI broke that throttle.