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CrowdCode

License CrowdCode

Democratic, AI-Assisted Software Development

CrowdCode is a collaborative platform for community-driven software development using GitHub primitives and AI-powered code generation. It enables transparent, democratic feature development where:

  • πŸ’‘ Anyone can propose features via GitHub Issues
  • πŸ€– AI generates pull requests automatically
  • πŸ—³οΈ Community votes on which features to promote
  • 🌿 All branches remain visible, even if not merged

Quick Links

What is CrowdCode?

CrowdCode transforms how open source projects handle feature requests:

Traditional Approach:

Feature Request β†’ Maintainer Reviews β†’ Maintainer Codes β†’ Manual Merge

CrowdCode Approach:

Feature Request β†’ AI Generates PR β†’ Community Votes β†’ Automatic Promotion

Key Principles

  1. AI as Contributor, Not Authority: GitHub Copilot generates code, but humans decide what gets merged
  2. Radical Transparency: All feature branches are public, all votes are visible
  3. Democratic Governance: PatchPanel members vote on features
  4. Complete Auditability: Every decision tracked in Git history

Core Features

🎯 Issue-Driven Development

Submit feature requests using structured GitHub Issue templates. Each request includes:

  • Feature description
  • Use case and motivation
  • Acceptance criteria
  • Priority level

πŸ€– AI-Powered PR Generation

Scheduled GitHub Actions workflows:

  • Scan for new feature requests daily
  • Generate code using GitHub Copilot (Phase 2)
  • Create feature branches automatically
  • Open pull requests with implementation

πŸ—³οΈ PatchPanel Voting System

PatchPanel: Authorized voter group who decides feature promotion

  • Vote using GitHub reactions (πŸ‘ πŸ‘Ž πŸ‘€) or PR reviews
  • Configurable quorum and approval thresholds
  • Real-time vote counting
  • Transparent voting records

🌿 Dual-Track Development

Main Branch: Stable, production-ready code with promoted features

Feature Branches: Experimental implementations, all publicly visible

  • Format: crowdcode/feature-{issue-number}-{slug}
  • Never auto-deleted
  • Can be tested independently
  • Remain visible even if rejected

How It Works

1. Submit Feature Request

Use the GitHub Issue template to propose a feature:

Feature Name: Dark Mode Support
Description: Add dark theme toggle to all interfaces
Use Case: Improve accessibility and reduce eye strain
Acceptance Criteria:
- [ ] Toggle button in header
- [ ] Theme persists in localStorage
- [ ] All UI elements have dark variants

2. AI Generates Implementation

Daily workflow scans for new requests and:

  • Creates feature branch
  • Generates code implementation
  • Opens pull request
  • Links PR to original issue

3. Community Reviews and Votes

PatchPanel members:

  • Review the AI-generated code
  • Provide feedback and suggestions
  • Vote on whether to promote

Vote methods:

  • πŸ‘ Reaction = Approve
  • πŸ‘Ž Reaction = Reject
  • πŸ‘€ Reaction = Need more review
  • PR Reviews (Approve/Request Changes)

4. Automatic Promotion

When voting threshold is met:

  • Feature is merged to main
  • Original issue is closed
  • Feature branch remains visible
  • Changelog is updated

Getting Started

For Users

Submit a feature request:

  1. Go to Issues
  2. Fill out the feature request form
  3. Submit and wait for AI generation
  4. Track progress on the PR

For PatchPanel Members

Vote on features:

  1. Browse open PRs
  2. Review the implementation
  3. Vote using πŸ‘ πŸ‘Ž πŸ‘€ reactions
  4. Or submit formal PR review

For Maintainers

Enable CrowdCode in your project:

  1. Copy CrowdCode files to your repo
  2. Configure PatchPanel members
  3. Create required labels
  4. Test with sample feature

See Getting Started Guide for detailed instructions.

Project Status

Current Phase: Phase 1 - Architecture & Documentation βœ…

  • Platform architecture designed
  • Workflow specifications complete
  • Voting mechanism documented
  • Repository structure defined
  • GitHub Actions workflows created
  • Issue templates ready
  • Scripts implemented (placeholder)
  • Next: AI code generation integration

Roadmap

  • Phase 1 (Weeks 1-4): Architecture & Documentation βœ…
  • Phase 2 (Weeks 5-8): AI Integration & Automation
  • Phase 3 (Weeks 9-16): Generalization & Templates
  • Phase 4 (Weeks 17-24): Ecosystem Development
  • Phase 5 (Months 6-12): Platform Maturity

See ROADMAP.md for complete roadmap.

Components

GitHub Actions Workflows

  • crowdcode-issue-to-pr.yml: Converts issues to PRs (daily)
  • crowdcode-vote-counting.yml: Counts PatchPanel votes (hourly)
  • crowdcode-feature-promotion.yml: Promotes approved features (daily)
  • crowdcode-branch-visibility.yml: Maintains feature dashboard (weekly)

Configuration Files

  • .github/PATCHPANEL_MEMBERS.json: Authorized voters list
  • .github/crowdcode-config.yml: Platform configuration
  • .github/ISSUE_TEMPLATE/feature-request.yml: Feature request form

Scripts

  • generate-feature-pr.py: Generate PRs from issues
  • validate-votes.py: Count and validate votes
  • promote-feature.py: Merge approved features
  • generate-dashboard.py: Build feature dashboard

Use Cases

Open Source Projects

Enable community-driven feature development:

  • Anyone can propose features
  • AI handles initial implementation
  • Community decides what to include
  • Transparent decision-making

Research Projects

Collaborative tool development:

  • Researchers propose analysis features
  • AI generates code scaffolding
  • Expert panel votes on inclusion
  • All experiments remain visible

Educational Projects

Student-driven development:

  • Students propose features
  • AI assists with implementation
  • Instructors guide via voting
  • Learning artifacts preserved

Exhibition/Installation Projects

Public participation in software:

  • Exhibition visitors propose features via codes
  • Real-time development during exhibition
  • Community shapes the tool
  • Digital democracy in action

Philosophy

CrowdCode is built on the belief that:

  1. Communities should shape their tools rather than being shaped by them
  2. AI should augment human creativity, not replace human judgment
  3. Transparency builds trust more than speed builds adoption
  4. Code should be visible even when not deployed
  5. Democracy scales when properly designed

Inspiration

CrowdCode was conceived for ShelfSignals, a library analytics and visualization platform. The goal was to enable:

  • Library patrons to propose features
  • Exhibition visitors to participate via physical codes
  • AI to assist with implementation
  • Community to decide direction

The platform is now being generalized for any collaborative software project.

Documentation

Core Documentation

Contributing

We welcome contributions! CrowdCode itself uses CrowdCode for development (meta!).

Ways to contribute:

  • πŸ’‘ Submit feature requests
  • πŸ—³οΈ Join the PatchPanel (request membership)
  • πŸ› Report bugs
  • πŸ“– Improve documentation
  • πŸ’» Submit pull requests

See CONTRIBUTING.md for guidelines (coming soon).

License

MIT License - See LICENSE for details

Authors

Created by evcatalyst for collaborative, democratic software development.

Acknowledgments

  • ShelfSignals: Reference implementation
  • GitHub Copilot: AI code generation
  • GitHub Actions: Automation infrastructure
  • Open Source Community: Inspiration and principles

CrowdCode: Where AI proposes, humans decide, and transparency wins. πŸš€

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