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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."
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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