The energy in Anaheim last month for the Atlassian Team'26 was undeniable. Atlassian’s floor space was massive, the announcements were heavy, and the overarching theme of "Human + AI Collaboration" was everywhere; booths, keynotes, breakout sessions... everywhere.
But as anyone in the ecosystem knows, the real clarity doesn’t just happen in the keynotes; it happens in the off-the-record conversations. During our sponsored after-hours event, The Anaheim Rooftop Party (TARP), we spoke with dozens of partners, Release Train Engineers (RTEs), and Agile Coaches. Between the drinks and the networking, during our conversations, a common underlying anxiety surfaced: If AI is automating everything, what happens to the ceremonies?
After digesting the sessions, particularly Tanguy Crusson’s talk on the "Agentic Pivot" and the Founder Keynotes, here is our honest take on the future of the Marketplace, Agile ceremonies, and where Catapult Labs is heading.
1. Automating Execution Makes Alignment a Premium
During the sessions on building software in the era of AI, we heard a lot about the rise of the "Product Builder": fluid, highly autonomous teams orchestrating work through AI agents. Rovo Dev and AI code reviewers are rapidly automating the execution layer and non-coding overhead.
For PMs, Scrum Masters, and RTEs, this can sound intimidating. If the machine handles the tickets and the code, what is left?
The reality is the exact opposite of obsolescence. As the execution of work becomes commoditized by AI, human alignment becomes the most critical bottleneck. AI cannot read the room. It cannot sense burnout. It does not know if a senior engineer is silently frustrated with the staging environment. If you automate a misaligned team, you just build the wrong thing much faster.
Agile ceremonies are no longer just about tracking capacity; they are the required operating mechanisms where human strategy meets execution.
2. The AI Mirage in the Marketplace
The Founder Keynote made it explicitly clear: the future of enterprise work relies on the Atlassian Teamwork Graph.
Right now, there is a rush in the SaaS ecosystem to slap an LLM inside every tool and call it an "AI integration." We believe this is a mirage. For Marketplace vendors, capturing real value isn't about bolting a chatbot onto your app. It is about ensuring your tool properly talks to the Atlassian platform and feeds the Teamwork Graph with high-quality, structured data.
Atlassian Intelligence is incredibly powerful, but it is entirely dependent on the context it is given. If your team's feedback, sentiment, and retrospective action items are trapped in an external whiteboard, the AI is flying blind regarding your culture.
3. Agents as the New UI for Enterprise Governance
We need to stop thinking of AI Agents solely as "code generators" and start looking at them as a new UI for organizational insights.
Imagine you are an RTE managing 50 different squads. Currently, finding systemic bottlenecks requires digging through fragmented dashboards or relying on word-of-mouth. But if your qualitative data is properly structured in Jira, the paradigm shifts.
An agent can query the Teamwork Graph across all 50 projects and proactively notify leadership: "Over the last two weeks, 14 different squads created action items for the 'Deployment Pipeline'." A critical blocker in a few teams, can lead to organization-wide insights.
This is where the magic happens. You move from reactive delivery speed to proactive, strategic decision-making. You catch cross-project issues before they evolve into organization-wide crises.
Our Strategy at Catapult Labs
We see a massive space for tools that capture the friction of human collaboration. Our mission is not to build AI that replaces the Scrum Master. Our mission is to build the native Atlassian tools that capture the messy, qualitative, human realities of Agile ceremonies (like Planning Poker, daily stand-ups, and Retrospectives) and seamlessly translate them into the clean, actionable data that the Teamwork Graph (and Rovo & Rovo agents) needs to actually help you.
How is your organization preparing to capture the "Human Layer" as AI accelerates your delivery?
