🚀 CI AI Monitor – Agentic DevOps System

An AI-powered CI/CD monitoring platform that automatically analyzes build failures, creates GitHub issues, and displays live reports on a dashboard.

This project simulates how modern engineering teams can use Agentic AI to manage and debug software pipelines autonomously.

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🧠 What this system does

Whenever code is pushed to GitHub:

1. GitHub Actions runs automated tests
2. If tests fail:
   • An AI agent reads CI logs
   • Explains the error in natural language
   • Creates a GitHub Issue automatically
   • Sends the failure to the dashboard
3. If tests pass:
   • The code is deployed automatically

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🖥 Dashboard Features

• Total CI failures
• Last failure reason
• Recent AI-generated debugging reports
• Clean SaaS-style UI

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🧩 Tech Stack

• GitHub Actions (CI/CD)
• OpenRouter (LLM for AI reasoning)
• Python
• Flask
• SQLite
• GitHub REST API
• HTML + CSS

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🏗 Architecture

Developer Push
     ↓
GitHub Actions
     ↓
Tests
     ↓
AI Agent (OpenRouter)
     ↓
GitHub Issue + Dashboard API
     ↓
Flask + SQLite
     ↓
CI AI Monitor UI

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🚀 Why this matters

Most CI systems only show logs.
This system understands them.

It demonstrates how AI agents can:

• Perform root-cause analysis
• Write human-readable bug reports
• Automate DevOps workflows

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🧪 How to Run Locally

pip install -r requirements.txt
python app.py

Open:

http://127.0.0.1:5000

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🔥 Future Plans

• Slack & email alerts
• Multi-repo monitoring
• Production deployment
• Predictive failure detection

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Built with ❤️ to explore the future of Agentic AI + DevOps