write-sdlc-spec

Automating SDLC spec creation involves using interactive Q&A and code analysis to translate feature requests into actionable implementation specs. This process generates detailed documents with file:line references and verification steps, ensuring grounded documentation.

Yes, generating Notion specs with file:line references is supported. The process analyzes your project codebase to extract specific code locations, links them directly to your specifications, and stores the resulting documents via Notion integration.

Yes, Notion integration is required to store the generated software development lifecycle specifications. You also need access to the project codebase and jq to automate the interactive spec creation and code analysis.

The best way to translate a project request into an AI coding agent spec is through interactive Q&A and code analysis. This grounds the document in your actual codebase, outlining exact requirements, file:line references, and verification steps.

Supported SDLC stages include Specs, Trigger, Spec Decomposition, and Meeting Notes. The process handles these stages by guiding you through structured interactive Q&A to ensure comprehensive specification coverage.

Feature request specifications lack context when not grounded in code analysis. By linking specifications to actual codebase references using file:line citations, you ensure the resulting implementation specs are accurate and relevant to the project.