@Champbreed
FreeAutonomous DevSecOps Living Pipeline powered by Gemini 3
FreeFree tier
About @Champbreed
AegisOps-AI is an open-source autonomous DevSecOps 'Living Pipeline' powered by Gemini 3. It orchestrates Linux Kernel security audits, FinOps cost guardrails, and Kubernetes hardening, all executed seamlessly via GitHub Actions. This repository, maintained by Simon Essien (Champbreed), aims to automate security and cost optimization in cloud-native environments.
Key Features
Powered by Gemini 3 AI for autonomous decision making
Orchestrates Linux Kernel security audits
FinOps cost guardrails and optimization
Kubernetes hardening automation
Runs entirely on GitHub Actions
Open-source and Python-based
Pros & Cons
Pros
- Fully automated DevSecOps pipeline reduces manual effort
- Uses state-of-the-art Gemini 3 AI for intelligent orchestration
- Open-source, allowing community contributions and transparency
- Integrates natively with GitHub Actions and the Kubernetes ecosystem
- Combines security, cost, and infrastructure hardening in one tool
Cons
- Appears to be a new project with limited adoption (1 star on GitHub)
- Documentation and usage examples are minimal beyond the initial description
- Requires access to Gemini 3 API or model, which may not be freely available
- Designed specifically for GitHub Actions, limiting platform portability
Best For
Automated DevSecOps pipeline for cloud-native projectsContinuous Linux kernel security auditingCloud cost monitoring and optimization (FinOps)Kubernetes cluster security hardeningCI/CD security compliance enforcement
FAQ
What is AegisOps-AI?
AegisOps-AI is an autonomous DevSecOps 'Living Pipeline' powered by Gemini 3, created by Simon Essien (Champbreed). It automates Linux kernel security audits, FinOps cost guardrails, and Kubernetes hardening using GitHub Actions.
What technologies does AegisOps-AI use?
It uses Gemini 3 for AI-driven orchestration, GitHub Actions for workflow automation, and is built with Python. It targets Linux kernel, Kubernetes, and FinOps tools.