How Spec-Driven Development and Socratic Prompting Make AI a Better Coding Partner

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Many developers are getting poor results from AI coding tools because they rely on vague prompts and paste outputs directly into production, leading to bugs and poorly understood code. Experienced programmers instead treat AI like a junior engineer with no context, structuring collaboration through a method called Spec-Driven Development (SDD). SDD requires writing a formal specification — such as a Pydantic model or JSON schema — before asking AI to generate any code, creating a machine-readable contract that the AI output must conform to. Tools like the open-source Instructor library, associated with GitHub, are designed to enforce these structured specifications in AI responses. Combining SDD with Socratic inquiry — using AI to stress-test assumptions and explore edge cases rather than just generate code — is presented as the key workflow difference between developers who get reliable AI results and those who do not.

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ProgrammingDEV Community ·

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