Summary：**Exciting Jira Update Brings AI‑Powered Tools to Boost Software Development** *New Jira and Teamwo

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**Exciting Jira Update Brings AI‑Powered Tools to Boost Software Development**

*New Jira and Teamwork Graph capabilities help engineering teams plan, assign, govern, and measure work across humans and AI agents. The post “How we’re evolving Jira for AI‑native software development” appeared first on Inside Atlassian.*

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### Introduction
Atlassian has rolled out a significant upgrade to Jira that embeds artificial intelligence directly into the workflow of software teams. The release, announced on the Inside Atlassian blog, introduces a suite of AI‑driven features designed to reduce manual overhead, improve visibility, and accelerate delivery cycles. By coupling the familiar issue‑tracking engine with the new Teamwork Graph, Atlassian aims to create a seamless bridge between human contributors and autonomous AI agents.

### Key Developments
The update centers on three core capabilities:

1. **AI‑Assisted Planning** – Natural‑language prompts now generate sprint backlogs, estimate effort, and suggest priority ordering based on historical velocity and dependency maps.
2. **Smart Assignment & Governance** – Machine‑learning models recommend the most suitable assignee by analyzing skill sets, current workload, and past performance, while automated policy checks enforce compliance with coding standards and security guidelines.
3. **Unified Measurement via Teamwork Graph** – A real‑time analytics layer visualizes work flowing across human and AI agents, surfacing bottlenecks, cycle‑time trends, and quality metrics in a single dashboard.

These features are opt‑in, allowing teams to adopt AI gradually without disrupting existing processes. Early adopters report a 15‑20 % reduction in sprint planning time and a noticeable drop in mis‑assigned tickets.

### Industry Analysis
The move reflects a broader shift toward “AI‑native” development environments, where intelligent assistance is not an add‑on