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.

Web extension for debugging your API

kongruity leverages LLMs and cohesion scoring to transform unstructured creative-engineering process artifacts into actionable workflow plans.

Jira task → Claude Code → GitHub PR → auto-merge. AI-powered dev pipeline that writes code, tests, and opens PRs automatically. Planning mode breaks features into epics and tasks.

TUI-утилита на Go для безопасного управления Git-ветками в нескольких репозиториях

Canny MCP Server for Canny API integration with AI Assistants. Features Jira linking, batch operations, ETA management, company MRR tracking, and PM-focused workflows.

MCP server for connecting AI assistants to your own Jira instance

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.

The Agile Test Automation Framework (ATAF) is a test automation framework specifically developed for agile projects. It provides a simple and extensible way to create and manage automated tests with Cucumber in Jira.

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.

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.

Production-grade Playwright + TypeScript QA framework with AI-powered testing, LLM-as-Judge evaluation, MCP server, 7 CLI agents, security fuzzing, CI/CD pipelines, Jira sync, and Slack reporting — zero-config, plug-and-play.

AI backlog management platform that converts product context into INVEST-ready, prioritized Jira user stories with market research and cross-platform apps.

Claude Code skill for Jira: fetch tickets, search with JQL, manage issues, and generate team digest reports

AI-powered Jenkins build log analyzer with real-time streaming analysis, automatic model fallback, and Jira dashboard integration. Analyze build failures, detect errors, and export results using Groq LLM API.

Agentic AI project for Spring Boot

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

QA Hub: A BDD (Behave) execution dashboard that converts JUnit XML reports into a structured SQLite history with a React interface for failure and stability analysis

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