Why AI coding agents fail with incomplete specs
Dev.to AI
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Generative AI
AI Tools
AI coding agents like Codex and Claude Code are getting surprisingly good at writing code. But after using them in real projects, I noticed something: Most failures were not caused by the model. They were caused by incomplete specs. When a specification has gaps, the AI fills them in with plausible assumptions. At first the generated code often looks correct, but over time the implementation slowly drifts away from the intended behavior.