Why AI Coding Needs Anti-Patterns
Something shifted in software over the last couple of years, and most teams felt it before they found the language for it.
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Sample content from The AI Developer's Field Guide.
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.
Read excerpt →The Phantom Intern Is Already on Your Team
Code appears in your repository with no clear author, no review trail, and no institutional memory. It was generated, pasted, and committed. Now it's your problem.
Read excerpt →The Fighter with a Language Model
The Fighter is defined by a bias toward action so strong that it can crowd out reflection. AI tools amplify almost every one of the Fighter's instincts — and that's the problem.
Read excerpt →Your Codebase Is Congealing
Congealing Slop is what happens when AI-generated code accumulates without enough shaping. Each piece works in isolation. Together, they resist change and defy understanding.
Read excerpt →The Probability Pixie Will Ruin Your Day
The same prompt produces different results each time. The developer who got a great answer on Tuesday can't reproduce it on Wednesday. Consistency becomes a matter of luck.
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