How to Orchestrate AI Agents Across Your SDLC with Jira
Watch AI agents handle engineering busywork across the SDLC: build code from the backlog, generate an implementation plan, and more. In this webinar, see how Jira creates the orchestration layer in Atlassian’s Teamwork Collection to give AI agents the context they need to work autonomously, so teams can focus on shipping what matters.
Your competitors are shipping faster, your devs are spending 84% of their time on non-coding work, and your AI tools are still mostly coding assistants. It's time to see what agentic AI actually looks like in practice.
In this live webinar, you'll watch autonomous agents go end-to-end across three real engineering workflows in your SDLC – with Jira as the central orchestration layer.
Including:
- Taking a ticket from plain-language description to a full PR, with zero manual back-and-forth
- Troubleshoot bugs using organizational context to automatically generate fixes, assign them to other AI agents, and even drafting postmortems
- A new Jira planner feature that uses your codebase, team, and existing work to generate a ready-to-build plan
Can't make it live? Register anyway and we'll send you the recording.
Mówca
Aditi Venkatesh
Senior Product Manager, Atlassian
Aditi Venkatesh is a Senior Product Manager at Atlassian, building agent-first experiences for software teams. She's focused on helping teams go from idea to actionable plan. Aditi works on Rovo features in Jira that make it easy to capture work, turning conversations, docs, and ideas into actionable work. She's also worked on Rovo Skills, building capabilities that make it easier to manage your work in Jira.
