This section provides documentation for cutting-edge research, proofs-of-concept, and experimental features in our project.
Key Experiments
Below is a list of available experiments and research areas. Each document contains detailed analysis, implementation notes, and future directions.
Core Research Areas
- Self-Improving Systems
- MCP Automation
- Legacy Modernization
- Task Orchestration
- AI-Powered Code Refactoring
- Automated API Contract Testing
- n8n AI Automation
Enterprise & Security Research (2024-2025)
- Enterprise Compliance & Data Governance
- SAML Integration Patterns for AI 2024
- AI Agent Architecture Research 2024
AI Development & Operations (2025)
- Emerging AI Tools 2025
- Autonomous AI Agents Research 2025
- AI Observability & Monitoring 2025
- ML Deployment 2025
- RAG & Vector Search Advances 2025
Multi-Agent Systems & Orchestration (2025)
AI-Powered Development Tools (2025)
- AI Code Review Systems 2025
- AI-Powered Testing Frameworks 2025
- AI Documentation Generation 2025
- AI Coding Assistant Plugin Architecture 2025
- Plugin Marketplace Architecture for Claude Code
Production Deployment & Infrastructure (2025)
Communication & Data Infrastructure (2025)
- Communication and Notification Integrations for AI 2025
- Data Persistence and Storage Patterns for AI 2025
Related Hubs
- Return to the Main Knowledge Map.
- See our Core Concepts for foundational knowledge.
- Explore Integrations for practical implementations.