Join us September 22 for State of AI SDLC: a digital summit on how AI is reshaping software development.Register now
Plan, orchestrate, and scale with Jira, built for AI-native software development.
Works with
The Teamwork Graph connects across Jira, Confluence, GitHub, and more. Agents draw on what they need and document their work, so context compounds with every loop.
Findings from Atlassian Engineering Productivity Study, 2026
Connect Cursor, Claude Desktop, and any MCP client directly to your Teamwork Graph for rich context in every prompt.
Give AI coding agents terminal access to your Teamwork Graph so they can move from context to action.
@Jira in any thread to create a work item, assign it to a coding agent, and start a fix loop without leaving Slack.
Plan
Spec-driven development starts here. Jira defines plans with clear requirements, tasks, and estimates built in so less gets lost between your intent and the build.
Orchestrate
Assign any work item to Claude, Cursor, Codex, GitHub Copilot, or the native Jira Coding Agent. Ground agents in your codebase and org knowledge, then see exactly what they’re doing.
Review
See the actions your agents took and the decisions they made. Review the full session history, catch drift early, and correct as needed.
Scale
Run and measure agent loops, held to your team's coding standards. PRs surface when they're ready. See what’s running, unblock what’s stuck.
Extend Jira to get full visibility, context, and collaboration across the software development lifecycle.
Track how AI is changing the way your teams ship, from cycle time to PR throughput, so you can prove what's working and invest where it counts.
AI teammates that join your work to research, draft, and take action across your tools — right inside Jira, ready when you are.
Enhance Jira with Confluence for specs and documentation, and Loom for async collaboration and AI notes.
We tried to make another vendor work for us for about six months, but ultimately pivoted back to Atlassian. Jira provides us with all the tools we need to scale AI-native development to the enterprise: a properly structured work hierarchy, discrete issue estimation and workflow management capabilities.”
JEFF ARBOR, Director of Technology Operations and AI Transformation
At Statsig, we’re always looking for ways to improve our developer experience so that we can move faster with less risk. Atlassian’s new AI for developers helps our team spend less time on bottlenecks that slow down delivery.”
JIAKAN WANG, Head of Engineering
As we’ve started to build a System of Work with Atlassian, tooling spend is down 54% annually, and we’ve been able to reinvest 40% of our OpEx expenses back into the business within three years — without dropping work.”
JASON ANDREWS, VP of Strategy & Planning – Engineering Operations
Each automation removes friction, fosters creativity, and builds trust. That’s what makes Atlassian’s solution stand out — for us, it’s a catalyst for culture.”
MARTIN BILD, Head of Product Excellence
Our whole dev pipeline and planning process runs through the tools. It’s driving a lot of the business, and it’s just easier when everyone is in Atlassian.”
MATT CHESTER, Senior System Engineer
Explore the latest innovation and best practices for building with AI.
Blog
Report
Guide
See how engineering leaders are deploying Jira as the system of record for AI-native software development.