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# How Atlassian’s New Jira AI Features Give Coding Agents Context to Build Software

**[SD Times](https://daily.dev/sources/sdtimes)** · 3 min read · 0 upvotes · 0 comments

## Summary

Atlassian is releasing new AI-native capabilities in Jira designed to give autonomous coding agents structured context and reduce requirement drift. Key features include Jira for Slack (creating context-rich specs from conversations), Jira Planner (spec-driven development pulling from Jira, Confluence, and code history), Loom integration for turning video meetings into agent instructions, and the Teamwork Graph for tracking agent sessions and maintaining continuous context. Work items can be assigned directly to coding agents like Claude Code, Cursor, or GitHub Copilot from within Jira. Most features are available now for paid Jira Cloud customers at no extra cost, with Jira Planner in early access.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://sdtimes.com/augmented-software-development/how-atlassians-new-jira-ai-features-give-coding-agents-context-to-build-software>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#atlassian](https://daily.dev/tags/atlassian), [#jira](https://daily.dev/tags/jira), [#context-engineering](https://daily.dev/tags/context-engineering)

[View this post on daily.dev](https://daily.dev/posts/how-atlassian-s-new-jira-ai-features-give-coding-agents-context-to-build-software-rzd38jjlh)

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