AI-powered architecture review, WAF analysis, and DAT lifecycle management — generation, drift detection, auto-update.
AI-powered architecture review, WAF analysis, and DAT lifecycle management — generation, drift detection, auto-update. This project is part of the MAIA — Multi-Cloud AI Architect portfolio, providing reference architectures and reusable building blocks for cloud architects working across AWS, Azure, and GCP.
| Version | Scope | Status |
|---|---|---|
| v1 | DAT generation and Well-Architected Framework analysis | In Progress |
| v2 | Drift detection and automated DAT updates via MCP | Planned |
Diagrams available in docs/diagrams/
Documentation in progress. Follow the repository for updates.
Architecture Decision Records are available in docs/adr/.
See CONTRIBUTING.md for guidelines.
MIT License — see LICENSE for details.