user-story-generator

To generate user stories from a backlog, provide your backlog items to the system so it can analyze them alongside codebase context to produce structured, Markdown-formatted stories with sequential IDs saved directly to your project documentation.

Writing requirements documentation that aligns with your codebase is best achieved by analyzing backlog items and extracting relevant code entities to produce hierarchical user stories, ensuring product intent matches development workflows.

Yes, you can automatically format user stories in Markdown. The system analyzes backlog inputs and outputs consistent, maintainable Markdown files to a standardized location within your project documentation directory.

To structure user stories with sequential IDs for backlog analysis, the system processes your backlog items and assigns hierarchical identifiers like US-001 and US-002 to maintain clear storytelling and organization across your software project.

Generating user stories does not require manual codebase context extraction. The system automatically analyzes your provided backlog items and current code context to tailor each story without needing manual entity mapping.

You should save generated user stories to maintain consistent formatting in a standardized location, specifically outputting the Markdown file as docs/{backlog-keyword}/user-stories.md within your project repository.