JIRA plugin for Mattermost 🔌

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

Python tool that analyzes Slack conversations with AWS Bedrock AI to generate detailed RCA reports and actionable learnings for Dev and QA teams, with JIRA integration and intelligent summarization.

Enterprise-grade Semantic Kernel application with multi-agent orchestration, advanced intelligence analysis, and deep integrations with GitHub and Jira for intelligent development workflow management.

This repository demonstrates a proof of concept (POC) for integrating Jira with GitHub Actions. The primary goal is to automate the creation of Jira bug tickets when specific conditions are met in GitHub, such as the addition of a bug label to an issue.

Specsmith CLI: Turn vague ideas into actionable specs with AI. Works with Jira, GitHub and coding agents.

JiraTablify turns Excel tables into Jira format. It makes adding tables to Jira easy.

"Automate your workflow by integrating Postman with Jira! This repository demonstrates a seamless Proof of Concept (POC) for reducing manual effort by posting consolidated test results as comments on Jira tickets. Boost your team's efficiency and collaboration with this practical and extensible solution."

🔍 Analyze Slack conversations effortlessly with BugLens, generating root cause analyses and QA insights using AWS Bedrock AI models.

AI-powered code review tool for GitHub repositories using Azure OpenAI. Features automatic Jira ticket updates, PR comment posting, and Teams notifications with clean architecture design.

AI-assisted PR automation engine: runs in CI, Docker, or locally to analyze pull requests and post actionable reviews. Provider-agnostic and extensible.