A simpler way to run AI agents in Bitbucket Pipelines
Atlassian simplifies AI agent integration in Bitbucket Pipelines by reducing configuration steps and introducing reusable settings for AI-powered workflows.
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Atlassian Blog coverage
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AI made you faster. It didn’t make you better.
AI tools boost speed but erode quality when used to avoid thinking, leaving work hollow and reviewers frustrated.
How we made vulnerability fixes review-ready with Agentic Pipelines
Atlassian automated routine vulnerability fixes using agentic pipelines to reduce interruptions, with 120+ vulnerabilities resolved and 95% of pull requests merged without rework in three months.
Agentic automation in practice: putting standard engineering work on autopilot
Atlassian demonstrates how engineering teams can automate repetitive security fixes using a three-part agentic system that schedules, executes, and verifies work without manual intervention.
Put your conversations to work with the Teamwork Graph connector for Microsoft Teams
Microsoft and Atlassian launch a Teamwork Graph connector for Microsoft Teams, integrating conversations and meeting transcripts into Rovo’s search and AI tools alongside Jira and Confluence data.
How one leader rebuilt his feedback loop with an AI agent
Atlassian’s Fernando Garcia Valenzuela built AI agents to audit his Slack messages, identifying missed recognition and tone shifts across a 70+ person, multi-timezone team to refine his leadership communication.
Opening the Door to Agent Autonomy: The Architecture Behind Rovo’s Agent Harness
Atlassian’s Rovo Chat expands beyond data search to support over 50 third-party sources and introduces an agent harness architecture to enable end-to-end workflow automation. The new system separates data and control...
From prototype to production: lessons learned taking AI-built software to enterprise scale
Atlassian’s team of five engineers scaled an AI-built weekend prototype to an enterprise-grade product in five months, achieving roughly five times the output per engineer compared to a traditional build. The project...
Rovo for Microsoft 365: Turn conversations into Jira work
Atlassian’s Rovo integration for Microsoft 365 links Jira, Confluence, and GitHub/Bitbucket data directly into Teams and Copilot, enabling natural-language task creation and AI-driven workflows within existing Microsoft...
AI polish makes it harder to spot problems. But there’s a quick fix.
Atlassian’s Teamwork Lab found AI-polished drafts obscure fundamental flaws, reducing critical feedback. A simple 'Early Draft' label restores scrutiny without harming perceived effort.
Jira goes where spreadsheets can’t
Atlassian’s Jira introduces capacity planning, formula fields, and space insights to consolidate project budgets, tracking, and reporting into a single system, aiming to reduce manual updates and improve AI-driven...
When is AI useful, or just a habit? A Play/Pause break helps teams decide.
Atlassian’s Teamwork Lab tested AI’s impact by asking 123 professionals to use or pause AI for a day, revealing both benefits and hidden costs of habitual use.
From internal tool to Marketplace: How ScriptFabric built on Forge
ScriptFabric transitioned from an internal Jira scripting tool to a Marketplace app by leveraging Atlassian’s Forge platform, replacing Groovy with JavaScript and TypeScript for broader accessibility.
Building Your AI Work Factory
Atlassian introduces the concept of a 'work factory' to standardize AI-assisted knowledge work, replacing ad-hoc AI usage with structured, repeatable processes that encode expertise and institutional memory.
Introducing Jira Planner
Atlassian launched Jira Planner to address AI-assisted development challenges by converting rough ideas into structured, agent-ready specifications grounded in team context and codebase details.
Connect Salesforce to the Teamwork Graph to unlock customer context for your teams and agents
Atlassian has launched a Teamwork Graph connector for Salesforce, integrating customer context from Salesforce with Atlassian’s work and collaboration tools to reduce manual data stitching for teams.
Create AI-generated slides in seconds
Atlassian introduces Confluence Slides, an AI-powered feature that transforms existing Confluence content into presentation-ready slides in seconds using Rovo, eliminating manual formatting and app-switching.
Don't Build AI Governance From Scratch. Just Turn It On.
Atlassian introduces AI governance tools integrated into its existing platform to address risks from rapidly deployed AI agents, aiming to centralize oversight without disrupting workflows.
Introducing the AI context engine for your entire codebase
Atlassian has launched Code Context within its Teamwork Graph to provide coding agents with secure, permission-aware access to codebase and organizational context, aiming to improve AI-driven development accuracy and...
3 AI bets powering Atlassian’s integrated marketing impact
Atlassian’s marketing team consolidated AI investments into three connected systems to improve budget efficiency, customer journey coordination, and localized creative assets, aiming to cut waste and boost conversion...
You don’t need a team of AI experts. You just need one.
Atlassian’s Teamwork Lab found that adding a single AI-skilled team member significantly boosts project quality, with an 18-percentage-point increase in top scores, while overall team size primarily affects delivery,...
Introducing the redesigned deployments experience
Atlassian has redesigned the Deployments page in Bitbucket Pipelines to simplify tracking and managing deployments across environments, reducing cognitive load and improving real-time visibility.
Agents are in Confluence (and wherever you need them to be)
Atlassian expands AI agents in Confluence to perform full teammate-like tasks, including commenting, labeling, and creating whiteboards, with over 5 million monthly invocations since May 2024.
What High-Throughput Engineers do Differently and Why AI Widens the Gap
A study of 15 high-throughput engineers at Atlassian found AI amplifies existing best practices rather than replacing them, widening the performance gap between disciplined and ad-hoc teams.
Why better tickets help agents write better code
Atlassian’s internal experiment found AI-native Jira tickets improved engineering output fivefold, with higher quality and agent-readiness compared to traditional tickets.