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 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