project9658/starter-anthill

Overview: From Blueprint to Reality in One Orchestrated Motion
SpecFlow AI is a next-generation project scaffolding tool that transforms static design files, task management boards, and documentation into executable code structures. Unlike traditional starters that require manual alignment between Figma mockups, Linear tickets, Notion docs, and GitHub specs, this tool acts as a cognitive bridge—ingesting structured and unstructured sources, then generating a coherent, deployable project skeleton.
Think of it as a conductor for your development symphony: where ralph-starter introduced the concept of source integrations, SpecFlow AI takes it further by adding intelligent dependency mapping, multi-source conflict resolution, and adaptive template generation. It does not merely copy files; it synthesizes context from your design system, sprint backlog, and API documentation into a unified scaffold that maintains consistency across all layers.
Why SpecFlow AI Exists
Modern product development suffers from context fragmentation. A developer might have a Figma file showing the final UI, a Linear ticket describing the feature, a Notion page with technical specs, and a GitHub repository with existing code—yet aligning these into a working prototype takes hours of manual work. SpecFlow AI eliminates this by:
- **Parsing visual hierarchies** from Figma layers and converting them into component trees
- **Extracting acceptance criteria** from Linear and Notion into test stubs
- **Resolving naming conflicts** between design tokens and code conventions
- **Generating API route skeletons** from OpenAPI specs found in Notion or GitHub
Mermaid Diagram: The Orchestration Pipeline
Emoji OS Compatibility Table
| Operating System | Support Status | Notes |
|:---:|:---:|:---|
| 🪟 Windows 10/11 | ✅ Full | WSL2 recommended for advanced features |
| 🍎 macOS 12+ | ✅ Full | Native Apple Silicon support |
| 🐧 Ubuntu 20.04+ | ✅ Full | Also tested on Fedora and Arch |
| 📱 iOS/iPadOS | ⏳ Beta | CLI via iSH or Termius |
| 🤖 Android | ⏳ Beta | Termux support in development |
AI Integration: Voice Commands and Contextual Understanding
SpecFlow AI integrates with both **OpenAI GPT-4** and **Claude API** to handle ambiguous specifications. When a Figma layer is labeled inconsistently, or a Linear ticket lacks clear acceptance criteria, the system sends a contextual query to the AI API and returns structured suggestions. This dual-API approach ensures:
- **OpenAI** handles code generation and boilerplate creation
- **Claude** excels in long-form documentation parsing and logic reasoning
By 2026, this separation of concerns will have become standard practice for AI-assisted development tools. SpecFlow AI already implements it today.
Example Profile Configuration: The .specflow Profile
Every project begins with a .specflow.json profile that defines how sources are interpreted. Below is a comprehensive example showing the tool's flexibility:
Example Console Invocation: From Zero to Scaffold in One Command
Once the profile is configured, running SpecFlow AI requires a single terminal command:
The --preview flag shows a dry-run summary before any file is written: