Feature Spec Workflow
for AI-Human Teams
Zero-dependency, Markdown-first feature management with built-in CLI tools. Perfect for teams working with AI agents like Cursor.
What is VirtualBoard?
A complete template repository and CLI tool that provides a standardized feature management workflow. It uses Markdown files and folder-based lifecycle management so humans and AI agents can collaborate deterministically without merge conflicts.
Zero Dependencies
Pure bash scripts eliminate Node.js/npm dependencies. Fast execution and universal compatibility.
AI Agent Ready
Built-in support for multiple AI agents with role-specific prompts and concurrency controls.
Markdown First
Everything lives in Markdown files - easy to diff, parse, and index with your favorite tools.
CLI Powered
Purpose-built Go CLI with validation, indexing, and automation-friendly JSON output.
How It Works
Simple, deterministic workflow from feature spec to deployment
Create Feature
New features start in backlog with unique FTR-ID and structured spec
Assign & Start
Agents claim features by moving to in-progress with ownership tracking
Implement
Work on implementation, updating spec with progress and PR links
Review
Move to review status when ready for human review and testing
Complete
Mark as done when merged and deployed with full audit trail
Ready to Streamline Your
Feature Development?
Join teams using VirtualBoard to coordinate AI-human collaboration on software features.