AI & Machine Learning Documentation
This section covers AI-powered features, machine learning integrations, and AI usage policies for the Fawkes platform.
AI Usage Policy
- AI Usage Policy - Guidelines for using AI tools in development
- Training Quiz - Test your understanding of AI policies
- DORA 2025 AI Capabilities — Fawkes Alignment - How the seven DORA 2025 AI foundations map to Fawkes practices
- Foundation 7 Platform Quality Improvement Guide - Ranked actions to improve platform quality and AI effectiveness
Agent Suggestions (review and apply to .github/agents/)
These files contain suggested .github/agents/ content for manual review and application.
Copy the YAML block into the target file, remove the header comment, and commit.
| Agent | Model | Cost | Purpose | Status |
|---|---|---|---|---|
| test-engineer | GPT-4.1 | 0× | pytest, pytest-bdd, bats tests | ⏳ Pending review |
| issue-writer | Claude Sonnet 4.6 | 1× | Fully-specified GitHub issues | ⏳ Pending review |
| code-reviewer | Claude Sonnet 4.6 | 1× | PR review across all layers | ⏳ Pending review |
| infra-gitops | GPT-4.1 | 0× | Terraform, Helm, ArgoCD, K8s | ⏳ Pending review |
| gpt41-default | GPT-4.1 | 0× | General fallback for any task | ⏳ Pending review |
GitHub Copilot
- GitHub Copilot Setup - Configure GitHub Copilot for Fawkes development
AI-Powered Features
Vector Database & RAG
- Vector Database - Vector database setup and usage
- RAG Service Implementation - Retrieval-Augmented Generation service
- Weaviate Deployment - Vector database deployment
AI Observability
- AI Observability Dashboard - AI-powered observability insights
- Anomaly Detection - ML-based anomaly detection
- Smart Alerting - Intelligent alerting system
Related Documentation
- Reference Documentation - API references
- How-To Guides - Step-by-step guides
- Implementation Summaries - Technical implementation details