Inside AI Builders Week: How teams work in the AI era
Jul 23, 2026Tamar Yehoshua

Summary
This post describes the outcomes of Atlassian's AI Builders Week, focusing on the shift from individual AI workflows to team-level AI workflow redesign. It highlights specific examples of AI agents and tools built during the week, such as agents that monitor Jira for plan divergence, AI-powered review of strategy documents, agents that process customer requests from Jira into structured work items and draft PRs, and AI feedback skills that distill customer feedback into digests and update Jira Product Discovery. It also mentions initiatives to shorten the distance between R&D crafts by converting Figma designs to code and generating components from screenshots.
More from the AI-Native Software Development Capabilities in Jira trail
- A simpler way to run AI agents in Bitbucket Pipelines
- We’re bringing governed agent loops to the AI-Native SDLC
- How we made vulnerability fixes review-ready with Agentic Pipelines
- Agentic automation in practice: putting standard engineering work on autopilot
- Opening the door to agent autonomy: The architecture behind Rovo’s agent harness