🚀 Crowdsourced Pattern Platform: Full Stack Implementation

[amiable-dev]

Crowdsourced Pattern Platform (v3.1 Epic)

Vision

Build a complete ecosystem where users capture real input patterns, optionally share them via cloud, and AI generates realistic test data from actual human behavior - not synthetic data.

Strategic Value

Why this approach beats synthetic test generation:

• ✅ Real human timing variance and mistakes
• ✅ Domain expertise (fighting games, racing, music production)
• ✅ Network effects (more users = better data for everyone)
• ✅ Training data for AI fine-tuning
• ✅ Community-driven knowledge sharing

Architecture

Local Tier (User's Machine)
├── conductor-capture         # Record with consent + privacy
├── conductor-generator        # Cloud-enhanced AI generation
└── conductor-diagnostic       # Multi-protocol debugging

Cloud Tier (Hybrid: Official + Self-Hosted)
├── conductor-cloud            # Backend API (Rust + Axum)
├── conductor-cloud-web        # Frontend (Next.js)
└── conductor-cloud-sync       # Sync daemon

AI/ML Tier
└── Pattern analysis + generation

Implementation Phases

Phase 1: Local Capture Tool (8-10 hours)

New Crate: conductor-capture

Features:

• Real-time input recording (MIDI + Gamepad)
• Session management
• Privacy controls (Public/Private/Friends/Premium)
• Metadata annotation (tags, description)
• Anonymization pipeline
• Local storage

CLI:

conductor-capture --start --privacy public
conductor-capture --tag "fighting-game" --tag "combos"
conductor-capture --stop --name "street-fighter-combos"
conductor-capture --list
conductor-capture --upload sf-combos

Phase 2: Cloud Backend (15-18 hours)

New Service: conductor-cloud

Tech Stack:

• Rust + Axum
• PostgreSQL + TimescaleDB
• Redis (caching)
• S3/MinIO (storage)
• Docker + K8s

Features:

• User authentication (OAuth2 + JWT)
• Pattern upload/download API
• Privacy engine
• Search & discovery
• Social features (likes, forks, follows)
• Creator analytics (pro tier)

Phase 3: Cloud Sync (5-6 hours)

New Binary: conductor-cloud-sync

Features:

• Background daemon
• Automatic sync (opt-in)
• Offline support
• Bandwidth management

Phase 4: Enhanced Generator (6-8 hours)

Update: conductor-generator

New Features:

• Search cloud patterns
• Download & replay
• Fine-tune AI on real data
• Hybrid mode (real + AI variations)

Phase 5: Web Frontend (10-12 hours)

New App: conductor-cloud-web (Next.js)

Pages:

• Pattern marketplace
• User dashboard
• Creator studio (pro)
• Analytics

Phase 6: Self-Hosted (3-4 hours)

Docker Compose for enterprises:

• Self-contained stack
• Privacy-first
• Federation support

Business Model

Free Tier (Consumers):

• ✅ Download unlimited public patterns
• ✅ Basic capture tool
• ✅ Upload 10 patterns/month
• ✅ Public/Private privacy

Pro Tier (Creators) - $9/month:

• ✅ Unlimited uploads
• ✅ Advanced capture tools
• ✅ Analytics dashboard
• ✅ Friends privacy level
• ✅ Pattern versioning

Premium Patterns (optional):

• Creators set price ($0.99-$4.99)
• 70/30 revenue split

Timeline

Total: 47-58 hours (6-7 weeks part-time)

Phase	Hours
1. conductor-capture	8-10
2. conductor-cloud	15-18
3. conductor-cloud-sync	5-6
4. generator enhancements	6-8
5. web frontend	10-12
6. deployment	3-4

Dependencies

New Workspace Crates:

• conductor-capture (CLI tool)
• conductor-cloud (backend service)
• conductor-cloud-sync (sync daemon)
• conductor-cloud-web (Next.js app)

New Dependencies:

axum = "0.7"              # Web framework
tokio-postgres = "0.7"    # Database
redis = "0.24"            # Caching
jsonwebtoken = "9"        # Auth
s3 = "0.33"               # Storage

Relation to Other Issues

Supersedes:

• MCP Server for Protocol Specifications and AI Test Generation #2: MCP Server (incorporated into cloud API)
• AI-Powered Multi-Protocol Message Generator #3: AI Generator (enhanced with cloud)
• Enhanced Multi-Protocol Diagnostic CLI #4: Diagnostics (export to capture format)

Blocks:

• macOS BLE Gamepad Support: Xbox Controller not detected via gilrs #1: Multi-backend gamepad support (can test with real patterns)

Success Metrics

• 100+ patterns uploaded (first month)
• 10+ pro creators
• 1,000+ downloads
• 3+ self-hosted deployments

Technical Challenges

Challenge: Virtual gamepad on macOS
Solution: Direct IPC injection (bypass virtual device)

Challenge: Cold start (no patterns initially)
Solution: Seed with synthetic + team captures

Challenge: Privacy compliance
Solution: Explicit consent + robust anonymization + GDPR tools

Challenge: Infrastructure costs
Solution: Self-hosted option + free tier limits

Implementation Checklist

• Phase 1: conductor-capture crate
• Phase 2: conductor-cloud backend
• Phase 3: conductor-cloud-sync daemon
• Phase 4: Enhanced generator
• Phase 5: Web frontend
• Phase 6: Docker deployment
• Documentation
• Privacy policy
• GDPR compliance tools
• Monitoring & analytics

Labels

epic, v3.1, cloud, ai, testing, infrastructure