Atlassian

    Applying AI across the SDLC

    We dedicate the most time to this part of AI Builders Week because it helps teams put the training and concepts they have heard into practice. More importantly, it gives them dedicated time and access to support so they can embed changes into the way they work. There are two approaches we use to land this during AI Builders Week: a highly supported and structured build day, and a demo and celebration moment.

    High-performing teams

    High-performing teams are now operating in a four-stage cycle:

    1

    Plan

    Turn context into clear intent - specs, decisions, and structured tasks that humans and agents can act on.

    2

    Intake

    Automatically capture signals from Slack, support tickets, Looms, and research and convert them into structured work items.

    3

    Execute

    Scale execution with agents operating in parallel - dozens or hundreds working on behalf of the team.

    4

    Review

    Review output at scale and feed insights back into the next agent run.

    Use this map to choose sessions for each stage of your workflow. The linked pages are Atlassian examples you can adapt.

    Stage 1: Plan

    Turn context into clear intent - specs, decisions, and structured tasks that humans and agents can act on.

    Sessions

    AI Prototyping Kit

    Stage 2: Intake

    Automatically capture signals from Slack, support tickets, Looms, and research and convert them into structured work items.

    Sessions

    Customer discoveryAgent-first workflows

    Stage 3: Execute

    Scale execution with agents operating in parallel - dozens or hundreds working on behalf of the team.

    Sessions

    Agentic Automation with StudioAgent-first workflows

    Stage 4: Review

    Review output at scale and feed insights back into the next agent run.

    Sessions

    The cross-craft handshakeEvals