Written by Hannah Vincent
This time of year always round quickly. Yes, it’s time for our Atlassian Team ’26 product updates.
Atlassian’s flagship annual event was once again held in Anaheim, US, and delivered an agenda bursting with product updates, new collections, and further innovations in the agentic AI space.
Without further ado, let’s jump into some of the key Team ’26 product updates.
Atlassian Rovo becomes even more powerful
We had to start our Atlassian Team ’26 briefing with Rovo. A lot has happened in the AI offering since we last brought you a range of Rovo updates.
Last week at Anaheim, the following Rovo enhancements were announced:
Rovo Studio provides an enhanced, unified experience
Previously, you would use Rovo Studio to build a custom Rovo AI agent.
Now, Studio has expanded to create automations and apps, alongside agents. You simply describe your problem or use cases, and Studio recommends the right solution for you before building it. (Do note, apps are currently still in beta.)
Studio can also now add built-in analytics, testing and MCP connectivity to its output – including governance controls such roles, approvals, versioning, and audit logs.
Whereas before you would use Studio for fairly simple agentic use cases, the new ‘Rovo Studio building experience’ now has much greater scope for more complex, enterprise-level solutions – and all still built without the need for code.
💬 Expert view
I tested Studio’s new ‘describe your problem’ capacity. For the first test, I used basic prompts in Chat, and Rovo built me an end-to-end automation rule. The idea was good, and the automation had most of the details, but I did spot some missing values. As always with AI, you’ll need to keep a human in the loop to check each solution.
I then tested another problem, this time copy and pasting a Confluence page where we’d described the challenge in depth. Rovo successfully recognised that the best solution would be a Forge app, which it then built with some further prompting.
For me, value lies in being able to debate with Rovo on which solution would best meet your needs. It feels useful to brainstorm requirements and potential solutions for each of your use cases.
Another thing is that studio is only as good as your prompts. In my second test, I gave it a well-written Confluence page describing the problem and it nailed the solution shape (Forge app). But most teams won’t necessarily have that page. So there’s an important piece of work to be done around defining and documenting a problem properly in the first place.
Building the solution (whether automation rule, agent or app) is 20% of the work. The real groundwork lies in defining that use case and preparing a prompt complete with vital specs.
In short: The new functionality acts as a neat brainstorming partner, and works best when you have a detailed prompt. This highlights the need to fully define your use cases, and to understand where automation can add real-world value, before you even start prompting Rovo.
– Siddharth Rahul Raut, Technical Consultant at AC
What could you build in Studio? Browse our range of custom AI Rovo Agents for inspiration!
Rovo Max brings greater reasoning and strategy to Rovo Chat
Whilst still in early access, we’re eagerly anticipating the impact that Rovo Max could have on how we use AI chat across the Atlassian Cloud Platform.
Described as a new reasoning mode for Rovo Chat, Max breaks complex requests into multi-step plans, undertakes tasks them across connected tools, and loops users back in for review.
For example, it can pull statuses from Jira, or content from Confluence, to populate a cohesive plan, and will then run workflows in the background to execute said plan.
This takes Rovo beyond the realms of straightforward chat, and instead reinforces its position as a virtual teammate, planning and conducting tasks autonomously. (Although, always, with a human in the loop.)
ℹ️ The appetite for AI is high: Atlassian reports an 7x increase in agentic automations in the past six months. But are you truly seeing value from these AI experiences yet?
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New Code Intelligence in Rovo
We’ve long championed Rovo Studio as a no-code solution for citizen developers and business teams to benefit from agentic AI. But Rovo also provides deep insight and powerful tools for software development teams.
Alongside Rovo Dev (which is part of the Software Collection), Atlassian has now introduced new Code Intelligence for Rovo, which enables software engineers to ask intent‑level questions across complex, multi‑repo environments. (Note, this is still in early access.)
There was more news for software development and engineering teams at Atlassian Team ’26 too, as DX – which was acquired by Atlassian last year – now provides three new capabilities:
- Agent Experience: Measuring how agents interact with codebases
- AI Code Insights: Tracking AI-generated code at the commit level
- AI Pulse: Surfacing productivity signals to engineering managers
These AI-driven insights now enhance the measurability of the software lifecycle, and are all now in general availability.
Looking for greater clarity across your software lifecycle? Our dedicated Development AI Accelerator solution has been created to deliver the insights your teams need to reduce friction and release faster.
Atlassian Teamwork Graph updates
In a notable move, Atlassian announced at the Team ’26 event that it is purposefully opening up its Teamwork Graph – enabling every AI tool you use to draw on the existing context of your tech stack.
This signals a greater shift towards a broader tech stack, retaining the Atlassian Cloud Platform as the beating heart of your stack, whilst making it faster, easier for you to connect your wider tooling.
Crucially, the teamwork graph facilitates more meaningful and accurate work, particularly from AI tooling, because it can access all your internal context, existing connectors, and so on.
Two new interfaces are in beta and were showcased at Team ’26: A Teamwork Graph CLI (with over 300 commands) for developers, and Teamwork Graph tools delivered through Rovo’s MCP server. The graph now contains over 150 billion connections.
Atlassian Service Collection: Team '26 product updates
So what’s new in the Atlassian Service Collection?
The messaging at the Atlassian Team ’26 event was familiar – moving away from fragmented, legacy ITSM platforms, in favour of a cohesive Cloud platform. Atlassian previously released the Customer Service Management (CSM) app at Team ’25 Europe which integrates closely with JSM.
In terms of Atlassian Team ’26 product updates, there was one particularly significant newcomer to the Service Collection.
Incident Command Centre
Billed by Atlassian as ‘coming soon’, the new Incident Command Centre combines alerting, investigative and communication functionality into a singular ‘AI native journey’.
Drawing on the Teamwork Graph (of course) for crucial internal context and signals from both third-party tools and other Atlassian apps, it provides a visual service graph, with clear indicators of where problems and incidents may be occurring. Also included are recommended actions, predicted business impact, timelines and more.
After an incident, Rovo Ops can then draft and publish your Post-Incident Review.
Atlassian Strategy Collection: Team '26 product updates
We also wanted to take a moment to look a little closer at updates to the Strategy Collection.
Strategic Intelligence in Focus
Arriving in open beta this summer, Strategic Intelligence provides a real-time briefing – monitoring budgets, goals, blockers, delivery health, and milestones.
Funds in Focus
Entering general availability this summer, Funds introduces a layer of financial data directly into your Focus command center. This enables you to keep track of forecasts, benefits, costs and so on, alongside strategic health stats.
Strategic Planning in Focus
Taking planning beyond a static document, Atlassian describes the new Strategic Planning element in Focus as a ‘shared, living model’, which we anticipate to flex and evolve alongside real-world delivery on the ground. Rovo provides risk signals if work begins to drift, and teams are kept aware of changes made by leadership in their own feeds – again, all in real-time.
Strategic Planning enters Early Adoption Programme in summer 2026.
Workforce Skills in Talent
We’ll round of our Strategy Collection round-up with an update in Talent. Newly announced Workforce Skills infers capabilities automatically from the tasks your people actually undertake – be that coding, authoring pages in Confluence, resolving issues in Jira… you name it.
As you’d expect, all this data is pulled from the Teamwork Graph, enabling leaders to visualise gaps, understand where training might be needed, and truly grasp the scope of skill throughout your organisation – ultimately ensuring the real-world experience and expertise across your teams align with goals and support delivery.
Atlassian have not yet announced a release date for Workforce Skills.
In our dedicated Portfolio AI Workbench solution, we’ll help you to marry proven portfolio management practices with AI-driven insights for stronger strategic decision-making and investment.
New Collection announced! The Atlassian Product Collection
Atlassian’s newest collection is the Product Collection, which includes Jira Product Discovery (JPD) the newly created Feedback app, and product analytics. Rovo is also included, as it is in all Atlassian Collections.
Designed for product managers and leads, the Product Collection (which is currently in Early Access) provides a centralised, cohesive selection of apps to capture feedback, prioritise work, integrate with Jira and access powerful AI-insights.
ℹ️ Spotlight on Feedback
Atlassian’s new Feedback app collects customer feedback from across Atlassian and third-party sources, including customer service apps, CRM records, review sites, and demand intelligence tools – and then links these insights back to goals and plans in JPD.
This ensures that Product leads don’t drown in swathes of customer data, but instead can identify clear patterns and trends, which they can then act on. Ultimately, the Feedback app enables teams to turn insights into action.
It’s worth noting that JPD customers will likely be migrated into the Product Collection over time, in a similar vein to how JSM customers transitioned into the Service Collection.
Award-nominated AI apps
Before we go, we must share exciting news from our colleagues in AppFox, AC’s development arm and Gold Marketplace Partner.
We were delighted that AppFox were announced as finalists in the AI Innovator Maketplace Partner of the Year 2026 Awards!
This is a significant testament to the innovation and expertise within the AppFox team, and our shared passion for unlocking the potential of AI for our customers across the Atlassian Cloud Platform.
Congratulations to our AppFox friends. 
You can discover AppFox’s range of Atlassian Marketplace apps here, designed to enhance compliance, structure and clarity across Confluence and Jira.
Your experience on the Atlassian Cloud Platform: What’s next?
The key metrics we’re seeing time and time again at the moment are speed and transparency.
We want work delivered faster and more efficiently, be that releasing new code to resolving more tickets. Leaders want greater visibility and clarity over teams’ outputs, whilst those on the ground are seeking transparency about how their day-to-day output aligns with overarching goals.
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