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September 20.2025

2 Minutes Read

How Atlassian + DX is Revolutionizing Engineering Intelligence for AI Success

Atlassian and DX logos on a blue background

Unlocking Engineering Intelligence: The Atlassian + DX Game Changer

In an environment where every software development minute counts, the strategic acquisition of DX by Atlassian marks a pivotal evolution in how engineering teams can navigate the complex world of AI and productivity. Atlassian, known for its tools that enhance collaboration and productivity, has set its sights on empowering over 300,000 clients by incorporating DX, an authority in engineering intelligence.

Engineering Leaders Confront AI ROI Challenges

As companies escalate their investments in AI, engineering leaders often grapple with a pressing question: "How do we measure the effectiveness of our AI initiatives?" The challenge lies in determining where AI investments yield genuine benefits versus where they just create unnecessary noise. DX addresses this dilemma head-on by providing valuable analytics to assess AI adoption and impact.

Amplifying Productivity Through Insight and Data

With DX, organizations gain a robust set of metrics that translate qualitative and quantitative data into actionable insights. This clarity is crucial as it helps engineering teams understand what drives productivity and what hinders it. Through real-time insights reported by DX, leaders can monitor system health and identify bottlenecks, making well-informed decisions to optimize workflows.

The Synergy of Atlassian Tools and DX Intelligence

The integration of DX into Atlassian’s suite, which includes tools like Jira and Bitbucket, empowers developers by reducing friction and enhancing their flow. The partnership is poised to elevate the impact of teams as they transition into an AI-enabled future. Data from leading companies already utilizing both Atlassian and DX show that this collaboration will enhance coherence and efficiency among software teams.

A New Era of Competitive Advantage

As Atlassian sets out to redefine work systems through technology, the acquisition signifies a commitment to bridging gaps between teams and optimizing productivity. By incorporating DX’s detailed analytics, Atlassian is paving the way for enterprises to harness their technological investments as a powerful competitive advantage.

With this strategic alignment, Atlassian and DX are not just enhancing how teams collaborate; they are shaping the future of work where informed, agile decision-making leads to faster innovation cycles. As we look ahead, the dynamism of the Atlassian System of Work, powered by DX, heralds a new chapter in software engineering excellence.

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10.30.2025

Meet Rovo: The AI Tool Revolutionizing Teamwork Everywhere

Update The Future of Teamwork with Rovo Atlassian has officially launched Rovo, a revolutionary AI tool designed to enhance teamwork by integrating seamlessly into the workflows of organizations across the globe. Guided by CEO Mike Cannon-Brookes, the vision is clear: to empower every team with AI capabilities, no matter where they are. Unveiled during the Team Europe 2025 conference, Rovo presents an exciting opportunity for organizations to exceed traditional collaboration limits and embrace a future where AI actively supports team processes. Transforming Team Communication Rovo is not just an ordinary tool; it’s an AI-powered teammate that actively participates in team communication and project management. As highlighted by Jamil Valliani, Atlassian's Head of Product, the integration of Rovo into platforms such as Jira and Confluence allows users to access real-time information and insight, leading to more efficient workflows. Instead of sifting through data silos, users can initiate chats with Rovo, getting the information they need precisely when they need it—eliminating delays and accelerating decision-making. Accessibility for All Teams The strategic decision to make Rovo available to all Atlassian users—including those under Premium and Enterprise subscriptions—reflects Atlassian’s commitment to making high-quality AI tools widely accessible. This move is particularly significant as it allows even smaller organizations to harness the power of AI, leveling the playing field in productivity and collaboration. Rovo's Comprehensive Features: More Than Just Chat Rovo isn’t limited to chatting; it offers various functionalities designed to simplify workflows, such as Rovo Search, which provides personalized search results across a company’s knowledge base, and Rovo Agents that can automate routine tasks. By employing these features, teams can shift their focus from mundane management tasks to more strategic initiatives. Atlassian emphasizes that this level of innovation is aimed at redefining how teams collaborate, making teamwork truly seamless. Looking Ahead: The Impact on Future Work As organizations continue to adapt to hybrid work environments, Rovo’s presence is poised to redefine traditional workplace dynamics. By merging human intelligence with AI capabilities, the future seems bright for organizations eager to embrace new models of teamwork. Ultimately, as teams integrate Rovo into their daily practices, they will likely experience not just enhanced efficiency but also significant improvements in collaboration and innovation.

10.29.2025

Discover How Variable-Sharing Transforms Bitbucket CI/CD Workflows

Update Enhancing Workflow Flexibility with Atlassian's New Feature Atlassian has introduced a significant improvement to its Bitbucket Pipelines: the ability to share variables between parent and child pipelines. This change addresses a major pain point for development teams, allowing for a more sophisticated orchestration of workflows. Previously, while users could trigger child pipelines from a parent step, passing information seamlessly was a challenge. The new variable-sharing feature bridges this gap, enabling developers to define variables in the parent pipeline and pass them directly to child pipelines. Understanding the New Variable-Sharing Mechanism With the introduction of this feature, users can easily define an input-variables section in their pipeline YAML file. For example: pipelines: custom: a-parent-pipeline: - variables: - name: parent_pipeline_variable default: "value_1" allowed-values: - "value_1" - "value_2" - step: name: 'Child pipeline' type: pipeline custom: a-child-pipeline input-variables: var_1: $parent_pipeline_variable var_2: $repository_variable_name This structured approach makes pipelines not only more efficient but also more maintainable, allowing teams to organize tasks in a parallel and modular manner. Key Benefits of the New Feature Efficiency: Share up to 20 variables between a parent and child pipeline to streamline operations. Security Considerations: While it's crucial to understand that these variables should not include sensitive data, as they will be logged in plaintext, the design prioritizes a safer workflow without compromising on flexibility. Modular Pipelines: This modular structure allows independent running of child pipelines, reducing total build times and enhancing overall efficiency. Setting Up Parent/Child Pipelines To implement this feature, developers must follow basic steps to configure their Bitbucket repository effectively. First, define child pipelines in their bitbucket-pipelines.yml files clearly, ensuring they are named descriptively, such as my-child-pipeline. From there, reference the child pipeline in the parent pipeline, instructing Bitbucket to execute it at the designated point in the process. Conclusion: Unlock the Full Potential of Your CI/CD Workflows This upgrade from Atlassian is set to transform how teams manage their CI/CD processes within Bitbucket, boosting productivity and streamlining workflows. Embrace the transition to more flexible and modular pipeline configurations. For teams looking to optimize their processes or those just starting, exploring the benefits of this new variable-sharing feature is essential.

10.25.2025

Mastering Essential Skills for Teams in the Age of AI

Update Identifying the Skills Teams Need in the Age of AI As artificial intelligence (AI) reshapes the workforce landscape, understanding essential human skills becomes paramount. The growing sentiment is clear: the future of work is about enhancing our human capabilities alongside advancing technologies. A survey by executives indicates an alarming prediction — by 2030, one-third of tasks will be performed by machines. This shift necessitates a focus on the skills teams must cultivate to thrive in an AI-dominated environment. Critical Thinking: A Non-Negotiable Skill A vital skill in an age flooded with AI tools is critical thinking. With 42% of workers trusting AI outputs without adequate verification, the ability to assess information and generate sound judgments is essential. By engaging AI as a colleague rather than a gospel, workers can enhance their decision-making prowess. Encouraging team exercises that promote analytical thinking is key. For instance, pre-mortem evaluations can help foresee potential pitfalls in projects and refine strategic approaches. Creativity: Human Touch in an AI Landscape In an economic climate where automation is ubiquitous, fostering creativity stands out as a competitive edge. Creativity isn’t just about generating new ideas; it also involves refining AI-generated suggestions into innovative solutions. Utilizing AI for brainstorming can open diverse avenues for original thought. Research shows that cross-disciplinary inspiration ignites creativity, so setting aside time to explore different fields can greatly benefit teams. Emotional Intelligence: Building Strong Relationships Emotional intelligence (EQ) is increasingly recognized as a critical skill in the workplace. While AI might analyze data, it lacks the ability to form genuine human connections or inspire trust. Teams must invest in developing their emotional intelligence, creating a collaborative environment where empathy and understanding are prioritized. Training in these areas helps strengthen relationships and improves overall team performance. The Role of Collaboration with AI Tools Collaboration remains a quintessential human strength. AI can optimize processes, but it cannot replicate human interaction's depth. Teams should focus on honing their collaborative skills by leveraging AI analytics for team projects while ensuring strong interpersonal dynamics. A balanced approach combining technical insights with emotional awareness can elevate team synergies. Adapting to Change: The Key to Resilience Lastly, adaptability is an essential skill in a rapidly changing digital landscape. The ability to pivot and learn continuously will become increasingly valuable as AI technologies evolve. Encouraging a growth mindset within teams allows them to embrace learning and be prepared for the future. Training programs emphasizing flexibility and resilience can enhance team performance as they navigate unforeseen challenges. In conclusion, as AI transforms traditional work environments, honing human-centric skills becomes critical. Organizations must focus on developing skills like critical thinking, creativity, emotional intelligence, collaboration, and adaptability. By prioritizing these skills, teams can not only keep pace with AI advancements but also leverage them for innovative outcomes.

How Atlassian + DX is Revolutionizing Engineering Intelligence for AI Success

Unlocking Engineering Intelligence: The Atlassian + DX Game Changer

Engineering Leaders Confront AI ROI Challenges

Amplifying Productivity Through Insight and Data

The Synergy of Atlassian Tools and DX Intelligence

A New Era of Competitive Advantage

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