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February 07.2026

2 Minutes Read

Discover How AI Transformed Hackathons at Atlassian's ShipIt 61

AI hackathon buddy glowing lights in lush jungle

AI: The Game-Changing Hackathon Partner

As Atlassian's ShipIt 61 hackathon unfolded, participants realized the profound impact of AI on innovation. Teams collaborated under pressure, relying on Rovo, Atlassian's AI assistant, who offered real-time assistance, creative brainstorming, and project organization. Rovo's usage soared among participants, highlighting how AI tools can turbocharge productivity.

Breaking the Mold: Embracing AI in Hackathons

At ShipIt, creativity burgeons as employees leave behind their regular duties to dive into projects that ignite their passions. This collaboration across diverse teams not only enhances camaraderie but also exemplifies Atlassian’s principle: “Be the change you seek.” By incorporating AI, participants experienced a significant boost in efficiency—12% more Rovo users reported higher confidence in their projects compared to their peers.

A Glimpse into ShipIt’s Innovation Culture

ShipIt's inception in 2005 as a modest debugging initiative has now evolved into a powerhouse of innovation. Over the years, it has spurred numerous products, including Jira Service Management. The secret lies in its ability to remove barriers and inspire cross-functional teamwork, making it a cornerstone of Atlassian’s culture of innovation.

Why Rovo is a Secret Weapon for Hackers

Imagine having a hackathon buddy that never tires and is ready to provide insights at any moment—this is Rovo’s value. From brainstorming ideas to breaking down tasks, Rovo enhances decision-making processes by uncovering unconventional solutions that keep teams engaged and aligned. In an environment where creativity is crucial, Rovo’s capabilities facilitate rapid iteration, allowing participants to highlight their innovations effectively.

From Ideas to Reality: The Power of Collaboration

The real magic of ShipIt lies in its collaborative spirit. With diverse talents contributing their skills, ideas grow from initial concepts into tangible products. as these hackathons prove, sometimes the best developments arise when teams are encouraged to think outside the box and tap into their creativity with the aid of smart tools like Rovo.

Conclusion: Innovate and Learn

Incorporating AI into hackathons like ShipIt not only enhances productivity but also fosters an innovative environment where ideas can thrive. As we look toward future hackathons, consider leveraging AI to unlock your team’s creative potential, pushing the boundaries of what’s possible. Rovo may just be the ultimate hackathon buddy you've been searching for!

Team Playbooks

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02.27.2026

Atlassian’s 100% Off Teamwork Collection: Empowering Social Impact Teams Worldwide

Update Unlocking Potential with Atlassian's Teamwork CollectionAtlassian's latest initiative—offering a 100% discount on their Teamwork Collection for nonprofits and social enterprises—marks a significant shift towards empowering teams aiming for social impact. Designed for teams working on community initiatives, this no-cost access for up to 25 users aims to alleviate collaboration challenges that many organizations face. By embracing tools like Jira, Confluence, and Loom, these nonprofits can align their efforts with broader goals, streamline processes, and ultimately maximize their impact on society.A Focus on Global Access for NonprofitsThe introduction of an 85% discount for eligible nonprofits in low and lower-middle income countries further emphasizes Atlassian's commitment to inclusivity. With tools critical for effective project management, these organizations can expedite workflows and foster innovative solutions without the constraints of financial burden. This is essential as these teams work on the frontline of addressing global crises.Free Resources to Enhance CollaborationAtlassian is not only providing access to tools but also offering support through various resources such as office hours and webinars. This engagement helps teams learn to use these technologies effectively, ensuring they are equipped to manage projects, track service delivery, and build knowledge bases. With more than 190,000 social impact professionals utilizing these tools, there is a wealth of knowledge and community support available for organizations looking to integrate Atlassian's offerings into their missions.The Bigger Picture: Enabling Social ChangeThe essence of Atlassian's initiative lies in their recognition that collaboration is key to any successful social endeavor. Their tools foster a collaborative environment where knowledge can be shared, and challenges can be tackled collectively. By equipping social impact teams with the right tools and support, Atlassian is playing a crucial role in facilitating significant global change, offering not just discounts but a pathway to a better world through enhanced teamwork.

02.26.2026

How Atlassian's Rovo Dev CLI is Redesigning Homepages in Minutes

Update Transforming Web Design with Modern Tools In today's fast-paced tech landscape, rapid prototyping and agile methodologies have become crucial for successful product development. The recent capability to redesign a homepage within 20 minutes, integrating Atlassian's Rovo Dev CLI with Figma MCP and the Atlassian Design System, serves as a remarkable example of how AI can streamline workflows in software development. The Breakthrough Process: A Game Changer for Developers Traditionally, redesigning an application homepage could take several days of meticulous work, involving a frontend engineer interpreting design elements, verifying tokens and component APIs, and implementing styles and tests. However, relying on AI’s power can dramatically collapse this timeframe into minutes, showcasing a transformation from a painstaking process to a swift and efficient procedure. The AI-powered workflow starts by extracting design data from Figma, followed by querying the Atlassian Design System for component details. By sourcing accurate design tokens and components instead of using generic values, the resulting code not only aligns with the visuals but also adheres to accessibility standards, thus ensuring consistency and quality. Why This Matters: Speed, Consistency, and Accessibility The implications of this rapid redesign are profound. First, the enhanced speed allows developers to focus on creative elements rather than get bogged down in routine tasks. Second, leveraging the Atlassian Design System guarantees that every piece of generated code is consistent with the product's design language, minimizing errors associated with manual coding. Furthermore, this method emphasizes accessibility from the outset. By incorporating access control and standards directly into the development process, teams can confidently deliver applications that consider all users, including those with disabilities. This forward-thinking approach enhances the overall user experience and complies with contemporary compliance regulations. The Future of Workflow: A New Era for Development As we advance, tools like Rovo Dev CLI challenge traditional systems by embracing a model where efficiency and quality coexist harmoniously through AI integration. This paradigm assists developers in maintaining focus on critical aspects of software engineering, paving the way for innovative solutions to emerge at an accelerated pace. The synergy between tools like the Atlassian Design System and Rovo Dev CLI signals a future where developers can harness the power of AI to augment their capabilities and enable responsive design changes. This operational shift not only enhances productivity but also aligns development practices with agile principles, ensuring that the software can adapt swiftly to evolving user needs and market demands. In conclusion, the ability to redesign a homepage in just 20 minutes represents a significant leap in agile application development. As this technology matures, it can encourage a broader adoption of AI tools, fostering a culture of innovation and efficiency in tech.

02.23.2026

Building Trust in AI Adoption: Rachel Shepard's Insights from Atlassian

Update Understanding Trust in AI Adoption In the rapidly evolving landscape of artificial intelligence (AI), trust is emerging as a critical factor that influences user adoption. Rachel Shepard, an AI design leader at Atlassian, emphasized this point during her presentation at the World Summit AI. With the increasing prevalence of AI tools like Rovo, understanding how to build trust with users becomes paramount. Breaking Down Complex Systems The challenge lies in effectively introducing AI agents without overwhelming users. Shepard led a design sprint at Atlassian aimed at addressing this issue. She questioned whether the AI features being created truly aligned with users' expectations and mental models. Rachel's experienced insight suggests that when AI tools are perceived as overly complex or inconsistent, they foster skepticism, deterring potential adoption. Trust-Driven Design Principles Shepard highlighted several key design principles that underpin successful AI integration. First and foremost, meeting users where they are is vital. This means designing AI systems that resonate with user experiences, thereby reducing cognitive load. In replacing traditional personified agents with simpler "Skills," the Atlassian team created a user-focused approach where capabilities are seamlessly incorporated into daily workflows. This shift not only simplified the user experience but also reduced anxiety around using AI tools. Beyond Agents: A Skill-Based Approach By dissolving the concept of agents into manageable Skills, users can now access functionalities that cater to their immediate needs without the clutter of unnecessary choices. This results in an increase in feature utilization, highlighting the efficiency of presenting AI capabilities in a direct and intuitive manner. Shared Knowledge Drives Success The establishment of a shared skills registry allowed different teams within Atlassian to effectively utilize and share these Skills. This framework not only organized resources but also facilitated easier access to various AI capabilities, further removing barriers to user trust. As Rachel Shepard noted, creating a less rigid and more accessible AI environment invites greater user engagement. The Importance of Transparency Complementing Shepard’s insights, principles from the broader dialogue surrounding responsible AI systems emphasize transparency. Many industry leaders advocate for clear visibility into AI decision-making processes, allowing users to understand how AI-generated recommendations come to be. Such clarity reinforces trust and aids in overcoming adoption hurdles. Conclusion: The Path to Trustworthy AI As organizations look to integrate AI, the lessons discussed by Rachel Shepard and supported by industry-wide frameworks stress the importance of trust. By aligning AI features with user expectations, deploying transparent practices, and focusing on making AI accessible, companies can foster an environment where AI becomes a reliable partner in productivity. Cultivating trust is not just about avoiding risks but about setting the stage for successful AI adoption across diverse user bases.