AI Killed the Thrill of Solving Your Own Problems
The friction isn't about AI accuracy or speed; it's about motivation. When every idea is pre-empted by a model that already knows more, the personal satisfaction that drives developers to write, share, and persist through hard problems evaporates.
The moment a technical idea surfaces, the reflex is no longer to write it up but to ask an AI to expand on it. That back-and-forth Q&A immediately extinguishes the original urge to share, because the machine's answer is already more thorough than anything a person would post. The writer describes this as being held hostage by AI's comprehensiveness.
When stuck on how to regain the ability to show off, the natural next step is to ask the AI for a strategy. It obliges with a three-point plan, and when pressed, a flattering fourth. But the real loop snaps into focus while trying to execute point one: the writer can't produce because of AI, so they ask AI, whose answer sends them to another AI for the next step. The entire creative chain now runs through the machine.
The core loss isn't productivity. It's the high that used to come from thinking through a problem and solving it yourself, a sensation that AI-assisted programming has hollowed out.
The post captures a motivational collapse, not a technical one. AI doesn't block the writer; it removes the reason to write by supplying the finished product before the human starts.
The recursive loop — using AI to solve a problem AI created — mirrors a broader pattern in AI-assisted coding where developers become prompt routers between models rather than thinkers.
AI's sycophantic tendency to generate extra answers on demand (the fourth point) is framed here as flattery that feels good but deepens the dependency.