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Stop AI from Wrecking Your Codebase with Spec-Driven Development

Without structured specs, AI coding tools amplify inconsistency—they hallucinate requirements, expand change scopes, and forget rules between sessions. SDD shifts the human role from line-by-line reviewer to rule definer, cutting rework and making AI output predictable enough for multi-sprint, multi-developer projects.

SourceHacker News AIAuthor: Soarez
Stop AI from Wrecking Your Codebase with Spec-Driven Development
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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EngineersIntermediate

Key points

  • AI coding failures—scope creep, ignored conventions, forgotten context—stem from disorganized requirements, not weak prompts.
  • SDD front-loads specification work: a Spec doc defines boundaries and acceptance criteria, a Design doc locks the technical approach, and a Tasks file breaks work into verifiable chunks.
  • OpenSpec provides a `/opsx` command set (propose, apply, sync, archive) that wraps this workflow with minimal tooling overhead.
  • MCP servers let the AI pull context directly from Figma, Yapi, and internal wikis when generating the initial Spec, reducing manual copy-paste errors.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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