The AI paradigm shift didn't just give us better tools; it made us rethink how work gets done. And the Jira engineering team has spent the past year doing exactly that: reimagining how they plan, build, and ship software when AI is a first-class participant in the development lifecycle.
Some old processes broke. Others had to be rebuilt from scratch. The result? A fundamentally different way of working, and they want to share what they've learned.
Join us for How the Jira Team Ships Features with the AI-Native SDLC, an honest, behind-the-scenes look at what an AI-native software development lifecycle actually looks like in practice.
⭐️ Here's what the team will dive into:
Planning & work breakdown: how AI has changed the way the team scopes, prioritizes, and decomposes work before a single line of code is written
Orchestration & review: how work is delegated to agents and then reviewed
Agents in Jira for Run the Business: how autonomous agents help manage operational work, triage, and routine tasks at scale
Live Q&A: bring your questions about adopting AI in your own SDLC, scaling agents, or anything else on your mind.
Whether you're an engineering leader rethinking your team's workflows, a Jira power user exploring AI capabilities, or a developer curious about what it looks like when AI becomes a daily collaborator, this session is for you.
Thank you for joining our live event! You can now watch the recording on demand below:
Kristen Roth
9 comments