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AI system for automated JIRA Support Case analysis with COBOL/SQL/JCL code intelligence
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Python 99.7%
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README.md

JIRA AI Fixer v2.0

Enterprise AI-powered issue analysis and automated fix generation platform.

🚀 Features

Issue Analysis

  • 🤖 AI-Powered Analysis — Automatic root cause analysis using LLMs
  • 🔀 Auto PR Generation — Creates Pull Requests with suggested fixes
  • 🎯 Confidence Scoring — AI confidence level for each analysis
  • 📊 Analytics Dashboard — Track trends, resolution rates, and team performance

Multi-Source Integration

  • 🔵 JIRA Cloud — Full bidirectional sync
  • ⚙️ ServiceNow — Incident and change management
  • 🐙 GitHub — Issues and repository integration
  • 🦊 GitLab — Issues and merge requests
  • 💚 Zendesk — Support ticket analysis
  • 🎫 TicketHub — Native integration

Enterprise Features

  • 🏢 Multi-Organization — Manage multiple teams/projects
  • 🔐 JWT Authentication — Secure token-based auth
  • 👥 Team Management — Role-based access control
  • 📧 Email Notifications — Automated alerts via Resend
  • 📈 Reports & Analytics — Performance metrics and insights
  • 🔌 Webhooks — Incoming webhooks from any platform
  • 📝 Audit Logs — Complete action history

Modern UI

  • ⚡ React 18 + Vite (fast builds)
  • 🎨 shadcn/ui components (Button, Dialog, Command, Toast, Skeleton...)
  • 📊 Recharts interactive charts
  • 🌙 Dark Mode by default
  • 📱 Responsive layout

📦 Tech Stack

Layer Technology
Frontend React 18, Vite, TailwindCSS, shadcn/ui, Recharts
Backend Python 3.11, FastAPI, SQLAlchemy (async)
Database PostgreSQL 14+
Queue Redis
Email Resend
AI OpenRouter (Llama, Claude, GPT)

🛠 Quick Start

# Clone
git clone https://gitea.startdata.com.br/startdata/jira-ai-fixer.git
cd jira-ai-fixer

# Backend
pip install fastapi uvicorn sqlalchemy[asyncio] asyncpg pydantic-settings python-jose passlib httpx
uvicorn app.main:app --reload

# Frontend
cd frontend && npm install && npm run dev

📖 Documentation

🌐 Live Demo

📄 License

MIT © StartData