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Putting product requirements within easy reach using AI

AI
Developers deliver what customers need according to product requirements. Yet
they often lose time during development by switching between Jira and VSCode to
ensure that the code delivers the necessary requirements. This is where AI can
help—it can return hours of productivity to teams by bringing in the business
context from Jira and Confluence during code development and when chatting with
GitHub Copilot. In this session, Melissa Miller, head of Product Marketing, AI
at Atlassian, will share how you can integrate Atlassian and Copilot to
streamline the development flow and leverage Rovo (Atlassian’s AI agents) to
better manage requirements and knowledge. This makes it easier and faster for
developers to get the information they need to build features within their IDE.

Melissa Miller , Head of Product Marketing, AI, Atlassian

In-person
Session Type: Product Demo
Key Takeaway 1: See how GitHub Copilot integrates with planning and
documentation tools like Atlassian to improve developer productivity.
Key Takeaway 2: Learn practical techniques for effectively interacting with
GitHub Copilot extensions to streamline the development workflow from initial
requirements to final delivery.
Key Takeaway 3: Get tips on using AI in Jira and Confluence to save both time
and effort when managing requirements and knowledge.
Topic: AI, Git and related code management techniques, Collaboration,
Productivity
Target Audience: Enterprise - Engineering Leadership, Enterprise - Developers,
Startups
Industry: Applicable to all
Level: Level 100: Introductory
GitHub Product: GitHub Copilot
Delivery Format: In-person
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