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+---
+title: "5 Types of AI Coding Tech Debt"
+description: "AI coding assistants, or even vibe-coding agents, can create a lot of code very quickly and get features done fast.  However, there are a few common ways in which vibe-coding projects tend to go off the rails and end up mired in tech-debt hell.  The AI doesn't prevent you from accumulating tech-debt, in fact it allows you to create more of it more quickly.  I go over a few common issues with AI code that causes it to lose it's luster on large or long projects."
+---
+
+1. Concepts
+   1. ROI
+      1. Refer to the Glyph's article.
+      1. Net-positive and net-negative programmers
+   1. Simplicity and Complexity
+   1. Transparency
+1. Some of the ways AI fails
+   1. Testing
+   1. Debugging and logging
+   1. Libraries and common code
+   1. Performance
+   1. Abstract structure
+1. How do we fix it?
+   1. Functional tests
+   2. Enforce good debugging practices
+   3. Build your own libraries
+   4. Build real-world performance tests
+   5. You gotta know how to design it