DevSecOps Architecture with AI Assistants
System design patterns, agent responsibilities, and integration architecture for AI-assisted DevSecOps.
Documentation
Browse the sections below to learn about AI-assisted DevSecOps workflows, including architecture, frameworks, security, paradigms, use cases, and research.
Browse the sections below to learn about AI-assisted DevSecOps workflows.
LLM Assistant Frameworks: Comprehensive Comparison
Detailed comparison of oh-my-opencode-slim, Aider, ShellGPT, AIChat, Claude Code, and Crush for DevSecOps workflows.
Security Guide: AI-Assisted DevSecOps
Threat model, critical security controls, compliance considerations, attack scenarios, and hardening guides for AI-assisted DevSecOps.
Paradigms: Approaches to AI-Assisted DevSecOps
Three primary paradigms for integrating AI assistants into DevSecOps: Orchestrated Multi-Agent, Single-Agent Pair Programming, and CLI Command Generation.
Practical Use Cases & Patterns
Practical examples and patterns for incident response, IaC security, secret management, compliance, container security, CI/CD, and threat hunting.
Secure PR Review Workflow
Run a 5-step AI-assisted security review over your branch changes before they reach code review.
Research Findings: AI-Assisted DevSecOps Workflows
Comprehensive research findings on LLM frameworks, shell AI assistants, DevSecOps integration patterns, cost analysis, and implementation recommendations.
Modern DevOps Stack: Terraform · Kubernetes · Ansible · Observability
Comprehensive developer workflow guide for Terraform, Kubernetes, Ansible, and full observability with Prometheus, Grafana, Loki, and ELK Stack.
Modern Python Developer: uv · Ruff · Pytest · FastAPI · Docker
Comprehensive developer workflow guide for modern Python development using uv, Ruff, MyPy, Pytest, FastAPI/Django, and secure containerization.