Userdoc.fyi is an AI-powered platform that transforms how software teams create, manage, and maintain product requirements and documentation. The platform converts source code into clear, human-readable documentation and helps teams generate structured user stories, acceptance criteria, and test cases from rough notes, dramatically reducing the time spent on requirements gathering.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional requirements gathering and documentation processes are labor-intensive, often taking weeks or months to produce lengthy, hard-to-navigate documents that quickly become outdated. As software systems grow, the truth about how they work becomes scattered across code, Jira tickets, and stale documentation, leaving engineers as the only people who can fully understand the system.
Solution
Userdoc provides an AI-driven platform that streamlines the entire requirements lifecycle, from initial capture to living documentation. The platform uses AI to expand rough bullet notes into precise user stories, acceptance criteria, and test cases, while its "chat to requirements" feature lets teams ask questions and get instant answers. Userdoc also analyzes existing source code to generate clear, human-readable documentation of system features, their relationships, and where they live in the codebase, creating a single source of truth that product, engineering, and support teams can all access. The platform includes an MCP server that integrates with AI-assisted coding tools, enabling development teams to work directly from the latest requirements without losing context.
Target Audience
Primary users are software development teams, product managers, business analysts, and digital agencies that need to streamline requirements gathering and documentation processes. The platform also serves enterprises with legacy systems seeking to understand, document, and modernize existing codebases.
Features
- AI-powered generation of user stories, epics, acceptance criteria, test cases, user personas, and user journeys from rough notes or existing documentation
- Source code analysis that automatically surfaces features, data flows, and code-file relationships, converting complex codebases into structured documentation
- "Chat to requirements" AI feature that allows stakeholders to ask questions about requirements in plain English and receive instant, traceable answers
- Living documentation with full change tracking and version control, including Git integration for requirements
- Linkage and relationship mapping between features, user stories, and requirements, creating a navigable structure that visualizes how software features flow together
- MCP server integration that connects directly to AI-assisted coding tools like V0, Cursor, and Claude Code, keeping requirements as the source of truth during development
- Built-in field limits and structured formatting that force writers to focus on specifics, preventing vague, overly long epics
- Support for non-functional requirements, including security standards like OWASP password guidelines, with automatic policy enforcement