I've been building software with AI coding agents for a while now, and the experience has shifted in ways I didn't fully expect. These are my observations—not conclusions, but patterns worth naming. I'll keep adding to this as I go.

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Building with AI

What happens when the feedback loop between idea and working code collapses to minutes? Something fundamental shifts—not just speed, but the nature of the work itself. These are four patterns I've noticed so far.

The four themes:

  • The Solo Creator Dynamic — why AI makes development feel like solo creative work
  • The Training Density Effect — why AI reliability varies by domain, and how to calibrate trust
  • Knowing When to Constrain the Problem — prompt specificity should match your confidence, not the task's complexity
  • Discovery Before Prioritization — when building is cheap, the logic of traditional planning inverts
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