Factory brings autonomous coding work into Jira
Factory’s Droid coding agent now integrates directly with Jira, enabling autonomous coding tasks to be executed and tracked within the same platform, reducing manual context rebuilding for developers.
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Factory’s Droid coding agent now integrates directly with Jira, enabling autonomous coding tasks to be executed and tracked within the same platform, reducing manual context rebuilding for developers.
AI boosts team productivity but fails to align organizations, exposing a missing layer in strategic planning that translates strategy into action.
Atlassian’s Loom introduces tools to clarify AI agent instructions via video, reducing miscommunication and streamlining collaboration across teams and tools.
Atlassian has launched public APIs for Merge Queues in Bitbucket Cloud, enabling automated queue management for pull requests in Standard and Premium workspaces.
Atlassian introduces a redesigned connector setup in Atlassian Administration to help IT leaders securely integrate AI tools with business systems while maintaining governance and visibility.
AI projects often fail due to poor context rather than model limitations, with 95% of enterprise pilots showing no business impact in 2025. Atlassian outlines how structured, connected, and relevant context can...
Atlassian’s FastShift program has enabled millions of users to migrate to its Cloud Platform in a year, accelerating enterprise upgrades by 2-3x with dedicated support and tooling.
Atlassian has expanded its MCP server to connect Bitbucket Cloud to AI tools via OAuth, enabling assistants to access code, pull requests, and pipeline data directly within development workflows.
Atlassian’s Teamwork Lab developed an AI agent to improve team offsite planning by analyzing 69 gatherings and identifying five activity types that drive measurable connection gains.
Atlassian has been named a Leader in the 2026 Gartner Magic Quadrant for Collaborative Work Management Platforms for the second consecutive year, highlighting its unified work platform capabilities.
Atlassian introduces context graphs to improve enterprise AI accuracy by mapping relationships between organizational data, reducing reliance on costly models and fragmented retrieval.
Atlassian’s Jira team reduced code review wait times in a large monorepo by splitting AI review into two steps using Agentic Pipelines, matching files to guidelines before targeted feedback.
Atlassian’s Teamwork Graph connector for Slack integrates Slack conversations into Rovo, linking real-time discussions with project plans, decisions, and actions across Jira and Confluence.
Atlassian outlines five practical steps to integrate AI into workflows while preserving context, decisions, and quality, emphasizing human collaboration over speed alone.
The Browser Company of New York accelerates development by redesigning collaboration, hiring, and decision-making to eliminate bottlenecks in AI-driven workflows.
Atlassian released a rebuilt native Loom for Mac app with instant recording, automatic screen decluttering, and AI-ready video prompts, designed for macOS 15+.
Atlassian and Flexera will integrate Flexera’s Technopedia asset data into Atlassian Service Collection to enhance real-time IT asset discovery and contextual service management for enterprises.
Atlassian unveils AI-powered service management tools at Team ’26 Europe, aiming to shift teams from reactive ticketing to proactive, context-driven workflows across IT, dev, and business teams.
OpenAI and Atlassian integrate frontier AI models with Atlassian’s Teamwork Graph to connect enterprise knowledge, workflows, and teams, enabling context-aware AI actions within existing systems.
Atlassian argues that AI-driven code speed alone does not improve software delivery; organizations must redesign workflows, context systems, and governance to turn faster execution into reliable customer value.
Atlassian Foundation seeks nonprofit partners to transform education in the AI era through collective action, offering up to US$1 million in funding and support over two years.
Atlassian argues shared organizational context is the critical missing layer for AI agents to perform effectively, introducing a context graph to map relationships across tools, decisions, and workflows.
Atlassian-affiliated researchers introduced CAFE(S), a framework defining five properties of high-quality AI context—clear, actionable, faithful, efficient, and secure—to address rising costs, liability, and security...
Atlassian accelerates compliance-ready AI platform options for public sector, advancing IL5 authorization to July 2028 and FedRAMP High to January 2029, while expanding air-gapped and sovereign cloud deployments.
Atlassian disrupts Contagious Interview, a North Korea-linked campaign using fake coding assessments to distribute malware via Bitbucket, GitHub, and GitLab repositories.
Atlassian introduces Content Technologists to embed quality controls into AI systems, ensuring accurate, reliable outputs by shaping the underlying content infrastructure and governance frameworks.
Atlassian’s Rovo Chat introduces team-focused AI features to preserve shared context across tools and handoffs, enabling visible memory controls, agent mentions, shareable chats, and custom skills for reusable workflows.
Atlassian expanded AI agent access to its design system by launching a command-line tool, complementing existing MCP server and skill methods to improve reach and performance.
Atlassian introduces BearQ, an AI agent for Jira that autonomously tests code by integrating directly into workflows, reducing defects and manual handoffs.
Atlassian has launched an open beta for a rebuilt code search feature in Bitbucket Cloud, offering faster, integrated access to repository code with syntax highlighting and filtering tools.