🤖 AI-Powered GitHub Issue Triage Assistant

An intelligent assistant that automates GitHub issue triage using AI, Redis Stack, and Spring Boot.

This project was built for AI Week @ Redis to streamline the process of managing and labeling GitHub issues across client libraries like Jedis and Lettuce.

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📌 What It Does

• 🏷️ Auto-labels new GitHub issues using LLMs (GPT-4, Claude, Gemini via LiteLLM)
• 🔍 Finds similar past issues using Redis vector search (RediSearch + HNSW)
• 🔔 Sends Slack notifications to relevant maintainers
• 💬 (Optional) Posts enriched triage results as GitHub comments
• 🧠 (Planned) Stack trace root cause analysis
• 🧪 (Planned) Test coverage gap detection

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🧱 Tech Stack

Component	Tool/Service
Backend	Java 24, Spring Boot 3.5
LLM Integration	LiteLLM proxy to GPT-4 / Claude / Gemini
Redis Vector DB	Redis
Redis Client	redis/jedis
GitHub	Webhook API + GitHub Java API
Slack	Incoming Webhooks
Testing	JUnit 5, Testcontainers, Mockito

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🏗️ Architecture Overview

[ GitHub Webhook ]
      |
      v
[ Spring Boot API ]
   ├── LabelingService          → calls LiteLLM
   ├── RedisVectorStoreService → stores issue vectors in Redis
   ├── SemanticSearchService   → finds similar issues
   └── SlackNotifier           → sends Slack alerts

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🚀 Getting Started

Prerequisites

• Java 21 or 24
• Maven 3.9+
• Docker (for Redis Stack via Testcontainers)
• Slack Webhook URL
• LiteLLM endpoint + API key (for OpenAI, Claude, or Gemini)

Clone & Build

git clone https://github.com/your-org/ai-triage-assistant.git
cd ai-triage-assistant
./mvnw clean install

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🧪 Running Tests

Integration tests spin up a full Redis Stack container:

./mvnw test

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✅ Features Roadmap

• Auto-labeling via LLM
• Redis vector similarity search
• Slack integration
• Testcontainers-based integration tests
• Root cause analysis from stack traces
• Test coverage detection
• GitHub comment bot

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