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.

 

发言人

Josh Carolan

Engineering Manager, Atlassian

Josh Carolan 是一名工程经理，已在 Atlassian 供职十年。过去两年间，Josh 及其团队率先运用人工智能提升交付效率、实现重复性工作自动化。