Скачать или смотреть InfraPilot – AI-Powered Infrastructure Drift Detection & Autofix (Offline + Cloud AI)

InfraPilot is an AI-powered infrastructure analysis platform that detects configuration drift, predicts future risks, and generates autofix patches for Kubernetes and Terraform infrastructure.

🚀 What this project does

Analyzes infrastructure-as-code files (Kubernetes, Terraform)

Detects security issues, misconfigurations, and drift

Generates a drift score and predictive drift timeline

Produces autofix patches using AI and automation tools

🧠 AI & Automation

InfraPilot supports multiple AI providers with smart fallback:

Google Gemini (Cloud AI) – structured infrastructure analysis

Oumi (RL Scoring) – reinforcement learning–based risk scoring

Ollama (Local AI) – fully offline analysis using models like Llama3 and WizardLM2

Cline CLI – automated patch generation and application

🏗 Tech Stack

Backend: FastAPI (Python)

Frontend: React + Tailwind

AI: Gemini, Oumi, Ollama

Automation: Cline CLI

Architecture: Hybrid AI with graceful fallback

🎯 Why it matters

Most infrastructure failures happen due to slow configuration drift. InfraPilot predicts drift early and helps teams fix issues before they become incidents.

This project demonstrates AI-driven DevOps automation, offline-first AI design, and real-world infrastructure analysis.