The Hallucination Problem of AI Programming Assistants: How to Implement Specification-Driven Development with OpenSpec

The Hallucination Problem of AI Programming Assistants: How to Implement Specification-Driven Development with OpenSpec AI programming assistants are powerful, but they often generate code that doesn't meet actual requirements or violates project specifications. This article shares how the HagiCode project implements "specification-driven development" through the OpenSpec process, significantly reducing AI hallucination risks with a structured proposal mechanism. Background Anyone who has used GitHub Copilot or ChatGPT to write code has likely experienced this: the AI-generated code looks beautiful, but it's full of problems when actually used. It might use a component from the project incorrectly, ignore the team's coding standards, or write large chunks of logic based on non-existent assumptions. This is the so-called "AI hallucination" problem—in the programming domain, it manifests as generating code that appears reasonable but doesn't align with the actual situation of the project