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March 04.2025
2 Minutes Read

Unlocking Team Efficiency: How Atlassian Automation Transforms Work

Atlassian Automation logo design, blue geometric shapes.

The Future of Team Productivity: Embracing Atlassian Automation

Today’s workplace demands that knowledge workers efficiently manage vast amounts of information while meeting tight deadlines. In response, Atlassian has focused on integrating automation across its offerings, specifically within Jira, Confluence, and Jira Service Management.

Unlocking Time Savings with Automation

Imagine reclaiming 60 hours each month previously spent on tedious administrative tasks. According to Atlassian, teams utilizing its automation features can achieve just that. By taking advantage of automation, teams have streamlined their workflows and can redirect focus on strategic initiatives, thus enhancing overall productivity.

Understanding the Core Functions of Atlassian Automation

Atlassian's automation capabilities stand out due to their user-friendly nature, which includes low-code and no-code options. This feature is particularly advantageous for teams without a technical background, enabling them to easily program sophisticated automations using a visual rule builder. This approach not only reduces reliance on technical staff but also accelerates the deployment of crucial workflow enhancements.

Real-World Applications: Efficiency at Scale

Several companies have reported significant operational efficiencies after implementing Atlassian Automation. For instance, companies have automated repetitive tasks like issue updates and content management in Confluence. Moreover, teams can auto-assign issues in Jira based on predefined criteria, ensuring that high-priority tasks receive immediate attention.

Integrating AI for Enhanced Functionality

As technology advances, so does Atlassian’s commitment to maximizing user efficiency through automation. AI-driven workflows allow for the creation of automation rules simply by describing them, making it accessible for all team members. This exemplifies how automation not only saves time but empowers teams to be more agile.

Conclusion: The Imperative for Automation in Modern Workplaces

As organizations strive for efficiency and productivity, embracing tools like Atlassian Automation isn’t just beneficial; it’s essential. With a robust framework that supports customization and scalability, Atlassian empowers teams to deliver exceptional results, all while spending their time on what truly matters.

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01.31.2026

Discover How Atlassian's Rovo Think Deeper Revolutionizes AI for Agile Teams

Update Enhancing Workflows with Rovo: The New Standard for AI IntegrationIn today's fast-paced work environment, the quality and speed of problem-solving can make all the difference. Atlassian has introduced an innovative tool called Think Deeper, integrated within its Rovo AI platform. Designed for scenarios where quick responses fall short and extensive reports are unnecessary, Think Deeper strikes a balance that allows teams to enhance their operational efficiency without getting bogged down in information overload.Rovo's Think Deeper functionality redefines how teams engage with AI. Instead of providing a simple answer or a lengthy document, it employs a systematic approach: breaking down queries into manageable parts, analyzing intermediate results, and ensuring that all relevant aspects of a request are addressed. This enhances understanding and decision-making, particularly in complex projects.Empowering Teams with the Teamwork GraphOne of the standout features of Rovo is its Teamwork Graph, which contextualizes information across various Atlassian products like Jira and Confluence. By understanding the interconnections between teams, projects, and data, Rovo eliminates confusion and knowledge silos, empowering users to make informed decisions.For instance, if an HR department needs to consolidate feedback and policies regarding hybrid work, they can input various data points into Rovo. The AI processes this information, generating a clear, up-to-date hybrid work policy that reflects current employee sentiments. This capability demonstrates Rovo's value in real-world applications, as teams see tangible results from its reasoning.AI-Driven Decision-Making for Agile TeamsWith the agile methodologies that many organizations adopt, the need for rapid yet accurate decision-making is paramount. Think Deeper was built to handle multifaceted tasks, avoiding superficial responses and instead anchoring recommendations within specific organizational contexts. This functionality ensures that every decision is based on thorough analysis, hence improving overall productivity.In an engineering context, for example, Rovo's AI can review recent project updates against documentation, ensuring that all materials are current and relevant. This reduces the frequent mismatches between documentation and actual project status, allowing engineers to focus more on development rather than administrative tasks.The Future of Work with Atlassian's RovoAs teams increasingly trust AI solutions for complex problem-solving, it's crucial that the technology evolves to meet their needs. Rovo's innovative approach, particularly through features like Think Deeper, enhances human-AI collaboration. This powerful synergy positions Atlassian at the forefront of AI integration in businesses, supporting teams in navigating the complexities of modern workflows more effectively.In summary, Rovo's Think Deeper functionality is a game-changer for organizations seeking to improve efficiency while maintaining high-quality outcomes. Those who embrace this transition will find themselves well-equipped to tackle the challenges of tomorrow.

01.30.2026

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Update The Revolution of Code Reviews at Atlassian Atlassian faced a pressing challenge: its median pull request (PR) review time had ballooned to over three days, leaving developers in limbo as they awaited review comments, often for a significant 18 hours. This delay not only hampered productivity but also stunted innovation, especially given the accelerated pace of coding in today's tech landscape. The bottleneck became evident—despite the increase in code generation, the number of engineers available for reviews remained fixed. To tackle this, Atlassian’s Developer AI team introduced Rovo Dev, a cutting-edge AI agent designed to streamline this crucial process. How Rovo Dev Transformed the Review Process Rovo Dev's implementation was nothing short of revolutionary. By leveraging advanced large language models (LLMs), Rovo Dev provides immediate feedback on code quality, efficiently enforcing engineering standards and ensuring PRs align with the relevant acceptance criteria tracked in Jira. With Rovo Dev automating the first round of reviews, Atlassian saw an impressive 45% reduction in PR cycle time—translating to more than a full day off the review process. The Advantages of Instant Feedback One of the most significant hurdles was the waiting time for the first code review comment, which contributed to an average of 26% of the total PR cycle time. With Rovo Dev, this wait was eliminated. The AI quickly identifies common issues such as typos, logic errors, and anti-patterns, allowing engineers to make corrections in real-time without the lengthy back-and-forth typical of manual reviews. Enforcing Standards to Improve Quality Beyond just speeding up reviews, Rovo Dev helps maintain consistent coding practices by embedding company-specific engineering standards into the review process. This integration not only enhances code quality but also aligns coding practices with organizational expectations—eliminating confusion and improving overall team cohesion. As the AI automatically checks PRs against established standards found in Confluence, developers can focus more on the value they are adding rather than getting bogged down by procedural errors. A Future Powered by AI and Continuous Improvement The positive impacts of Rovo Dev extend beyond just time saved. It has notably accelerated the onboarding process for new engineers, with those utilizing Rovo Dev merging their first PR five days faster than their peers. As Atlassian looks forward, the company plans to enhance Rovo Dev further by expanding its feature set to cover even more stages in the software development lifecycle. Rovo Dev signifies a remarkable shift towards AI-driven processes that promise not only efficiency but sustained quality in code development. Conclusion As software development actions shift towards more automated approaches, tools like Rovo Dev are paving the way for streamlined workflows without compromising on quality. The Atlassian team’s proactive embrace of AI illustrates a roadmap for others in the industry. By adopting such innovations, organizations can mitigate bottlenecks, elevate engineering standards, and foster an environment where developers’re actively engaged in creative problem-solving rather than administrative tasks.

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