Jira 10

AI-powered agile project management tools for Jira and Confluence. ProductGo is a suite of AI-powered tools designed to enhance agile project management within Jira and Confluence. It offers features such as user story mapping, advanced roadmaps, portfolio boards, and user personas to support product owners and teams in managing product backlogs and planning development tasks. ProductGo aims to provide a visual and dynamic technique that empowers Agile teams to plan, prioritize, and execute projects with precision.

AI-powered UI generator for designers, managers, and founders. Luny AI is an AI-powered tool designed to generate high-quality user interfaces (UIs) from prompts. It caters to product designers, product managers, and founders, offering editable formats like Figma, Framer, Webflow, and XD. It also integrates with product management platforms such as Notion, Asana, Jira, and Monday.

AI Product Management for Product Teams, Agencies, and Startups metastory AI empowers product teams, agencies, and startups to turn ideas into production-ready deliverables. With AI-generated PRDs, user stories, and acceptance criteria, plus seamless UI-to-feature mapping, Figma and Jira integrations, and MCP-powered Meta Coding, it removes ambiguity and accelerates the entire software development lifecycle. Whether collaborating with developers, building on no-code platforms, or guiding AI coding assistants like Claude, Cursor, or Copilot, metastory keeps requirements clear, contextual, and perfectly aligned.

AI-powered Git branch name generator for Jira, simplifying development workflows. branch-name.com offers a Git Branch Name Generator extension that streamlines the development workflow by creating cohesive, Jira-tied branch names using AI. It simplifies the process of generating precise Jira task branch names for Git workflows, enabling teams to work collaboratively and efficiently.

AI-powered tool for seamless Jira ticket creation. PO assistant is your AI-powered tool for seamless Jira ticket creation. Chat with the Ticket Wizard, generate structured tickets in seconds, upload images for context, and submit directly to Jira. Simplify your workflow and focus on delivering value!

Patra manages Jira tickets in Slack using natural language commands. Patra is a natural language Jira assistant for Slack that allows users to manage Jira tickets directly from Slack using natural language commands. It eliminates context switching by enabling users to create, update, and track tickets without leaving their workspace.

AI tool to convert UI designs into development tickets for project management. Ticket Artisan turns UI designs into development tasks for project managers and Scrum Masters. It uses AI to analyze designs, create precise tickets for Jira, Asana, and Trello, and streamlines sprints. This enhances efficiency, clarity, and accuracy in development by converting designs directly into user stories.

AI-powered product development reporting from Jira & Linear with actionable metrics. Stepsize AI provides AI-generated reports on product development using data from Jira and Linear. It offers actionable metrics, charts, and AI-generated commentary to keep project managers and product owners informed with automated weekly updates based on issue tracker activity. Stepsize AI helps engineering teams understand progress, identify risks, and maintain alignment.

Skribr transforms bad task descriptions into clear, actionable tasks with one click. Skribr is a tool designed to improve task descriptions in platforms like Jira, Trello, and Linear. It transforms messy, poorly written task descriptions into clear, concise, and well-formatted ones with a single click. Skribr also analyzes the ticket's context, adding outstanding questions and assumptions to ensure clarity and completeness.

AI-powered tool to generate JQL queries from natural language descriptions. Query Craft is an AI-powered tool designed to generate JQL (Jira Query Language) queries. It simplifies the process of finding specific data within Jira by allowing users to describe what they're looking for in natural language, which the AI then translates into a functional JQL query.