This site documents approaches, paradigms, and best practices for DevSecOps engineers leveraging AI assistants. It covers security-first integration patterns, framework comparisons, and practical implementation strategies.
Architecture
Core workflow patterns, agent responsibilities, and integration architecture for AI-assisted DevSecOps.
Frameworks
Detailed comparison of oh-my-opencode-slim, Aider, ShellGPT, AIChat, Claude Code, and Crush.
Security
Threat model, critical controls, compliance considerations, and hardening guides for AI-assisted workflows.
Paradigms
Three primary approaches: Orchestrated Multi-Agent, Single-Agent Pair Programming, and CLI Command Generation.
Use Cases
Practical patterns for incident response, IaC security, secret management, compliance, container security, and CI/CD.
Research
Comprehensive research findings: framework landscape, cost analysis, and implementation recommendations.
Secure PR Review
Run a 5-step AI-assisted security review over your branch changes before they reach code review.
DevOps Stack
Comprehensive developer workflow guide for Terraform, Kubernetes, Ansible, Prometheus, Grafana, Loki, and ELK.
Python Developer
Modern Python development workflow with uv, Ruff, Pytest, FastAPI/Django, Docker, and security-first practices.
Secure PR Review Workflow
Run a 5-step AI-assisted security review over your branch changes before they reach code review.
Learn the WorkflowContributing
This is a living document. Contributions are welcome for new framework comparisons, security patterns, case studies, and configuration improvements.
Contribute on GitHub