Atlassian(TEAM)

When a team relies on automated tests in CI/CD, knowing that tests ran is only the beginning. Understanding whether the suite is healthy, which tests need attention, and how a specific test has behaved over time — that’s what drives action. Bitbucket Tests is evolving to make those answers easier to find and give you […] The post Monitor test health at a glance in Bitbucket Tests appeared first on Inside Atlassian .

AI is accelerating implementation. The engineering teams who benefit most will connect context, orchestration, and accountability across the work around code. AI can now help engineers turn ideas into working code in minutes, but software delivery has always been more than just producing code. Engineers need to break down ideas into plans and work items, […] The post The Agentic Pivot: Why the work around code matters more than ever appeared first on Inside Atlassian .

AI is changing what entire organizations can accomplish. As it moves beyond individual productivity to orchestrating entire workflows, the value of software outgrows what seat count alone can capture. Atlassian customers are already realizing tangible business value from AI and automations, from reporting processes that run up to 40x faster with agents to saving 400 […] The post Atlassian’s usage-based pricing: AI value with predictability and control appeared first on Inside Atlassian .

New Atlassian research finds the bigger predictor of whether AI helps at work isn’t how much people use it — it’s how much of their work it understands. The post Want more confidence in AI? Give it more context. appeared first on Inside Atlassian .

Routine vulnerability fixes are rarely difficult in isolation. The interruption that they cause is the problem: pick up the ticket, trace the dependency, update the package or image, regenerate files, run the checks, open the pull request, then return after deployment to close the loop. That repeated handoff was a good candidate for automation with […] The post How we made vulnerability fixes review-ready with Agentic Pipelines appeared first on Inside Atlassian .

Standard engineering work is predictable enough to automate. Here's how we put security vulnerability remediation on autopilot, and what it means for everything else. The post Agentic automation in practice: putting standard engineering work on autopilot appeared first on Inside Atlassian .

The work your team delivers rarely starts and ends in one tool. Plans may live in Confluence and delivery in Jira, while the day-to-day context that shapes those plans and decisions often lives in Microsoft Teams: the quick decisions in chat, the back-and-forth in threads, and the details captured in meeting transcripts. That creates a […] The post Put your conversations to work with the Teamwork Graph connector for Microsoft Teams appeared first on Inside Atlassian .

Most leaders think they're good communicators. Fernando Garcia Valenzuela decided to find out. The post How one leader rebuilt his feedback loop with an AI agent appeared first on Inside Atlassian .

Unlocking a brand-new dimension of agent autonomy using a sandboxed execution harness that closes the loop between automated testing and runtime optimization. The post Opening the Door to Agent Autonomy: The Architecture Behind Rovo’s Agent Harness appeared first on Inside Atlassian .

A weekend prototype to a production system in 5 months, at 5x the output. The post From prototype to production: lessons learned taking AI-built software to enterprise scale appeared first on Inside Atlassian .

Search your full context, trigger @Jira actions, and delegate work to AI agents in Copilot and Teams. Decisions get debated in Teams, documented in Confluence, and tracked in Jira. When these tools operate in silos, context gets lost in chat threads and AI agents lack critical context including existing backlogs, dependencies, and project history. Atlassian […] The post Atlassian Rovo + Microsoft 365: Turn conversations into completed work, tracked in Jira appeared first on Inside Atlassian .