scopeflow-cli
A CLI tool that uses LLMs to transform product vision into structured markdown context files for AI-assisted development.
3 commits over 1 day
What it is
ScopeFlow CLI helps developers convert high-level product ideas into structured, machine-readable context by generating personas, job stories, problem spaces, value propositions, principles, and solutions through LLM-powered interactive prompts. The tool outputs markdown files in a .scopeflow/ directory that can be fed back into AI coding assistants. It's aimed at developers building with AI who want to give their agents better project context.
Why I built it
Built to solve the "context problem" in agentic software engineering—helping developers systematically capture and structure product vision so LLMs have the right context to generate better code and make smarter decisions. The tool itself demonstrates using AI to prepare better inputs for AI.
Tech stack
TypeScript, Node.js (≥18), OpenAI API integration, Commander.js (CLI framework), Vitest (testing), compiled to dist/ via TypeScript compiler.
Timeline & effort
Last active Apr 23, 2025 — 3 commits across 1 active day (spanning 0 days).
Built in a single intense day (April 23, 2025) with 3 commits spanning ~2 hours. Very rapid prototyping session—enough to get the core flows working and an initial improvements.md roadmap drafted.
Did it turn out useful?
The tool has core functionality (init flows, LLM integration, structured output), tests, and clear architecture, but the improvements.md file reveals many missing production features (error handling, retry logic, input validation, documentation). Zero stars and no deployment suggest it hasn't been shared or used beyond initial development. The single-day commit window and extensive improvement backlog point to a working proof-of-concept rather than a shipped product.