How to Put AI Agents to Work Across Your SDLC with Jira

Watch AI agents handle engineering busywork across the software development lifecycle: build code from the backlog, propose the next QoL, 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
  • Automating agents in your workflows with Jira automations by triggering agents on status transitions. Auto-triage, auto-assign, and auto-code.
  • Agents reasoning over support tickets, past decisions, and team context to propose the next QoL wins.

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。

Dustin Smith

Principal Product Marketing Manager, Confluence, Atlassian

Dustin 是 Atlassian Confluence 团队的首席产品营销经理，工作地点在华盛顿州西雅图市。在不喝太多咖啡的时候，他喜欢谈论协作知识共享和完成任务。从数据库到白板，再到 Loom 集成，Dustin 整天都在想各种新方法来展示 Confluence 最酷的功能，以及它们如何改变现代工作的面貌。在加入 Atlassian 之前，Dustin 曾在 Tableau、Google 和 Airtable 的办公室偷喝咖啡。