How we’re evolving Jira for AI-native software development - Inside Atlassian

What this post added

This post details the introduction of several new capabilities within Jira to facilitate AI-native software development. It describes how Jira Planner structures intent into technical specs, how Jira for Slack integrates conversational context, and how Loom video prompts convert visual and auditory instructions into actionable tasks. It also announces the integration of specific coding agents (Claude Code, Cursor, GitHub Copilot) directly into Jira workflows, the development of the Jira Coding Agent for automated routine fixes, and the introduction of agent session visibility. New governance features include coding agent automations and an Agentic Engineering project template, alongside DX AI cost management for financial oversight. The post emphasizes the role of the Teamwork Graph in providing essential context to AI agents, leading to improved accuracy and efficiency.