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  • Atlassian Announces Code Context for Codebase Understanding in Teamwork Graph
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Atlassian Announces Code Context for Codebase Understanding in Teamwork Graph


Atlassian Announces Code Context for Codebase Understanding in Teamwork Graph
  • by: Business Wire
  • |
  • August 13, 2026

Atlassian has announced Code Context, a new capability in the Atlassian Teamwork Graph that gives developers, Rovo, and coding agents secure access to source code across large-scale, multi-repository codebases. The capability creates a context layer where large-scale codebase understanding and organizational knowledge come together, enabling agents to produce more precise output with fewer tokens.

Quick Intel

  • Atlassian launches Code Context for multi-repo codebase understanding.

  • Integrates code with Jira, Confluence, Loom, and 50+ third-party connectors.

  • Agents enriched by Teamwork Graph delivered 44% more accurate results.

  • Uses 48% fewer tokens compared to agents without Code Context.

  • Supports GitHub and Bitbucket in open beta rolling out now.

  • Secured with permission-aware access scoped to each user or agent.

Codebase Understanding for Agents

As organizations adopt coding agents, their effectiveness depends on more than model intelligence. It depends on the context they have available to them before taking action. Coding agents can write, refactor, and review code, but quality output requires understanding the system of work around any given task and permission-aware access to the context it holds. Code Context creates a secure, queryable representation of connected codebases and makes that knowledge available across development workflows, from IDEs and terminals to AI coding apps, Jira, Rovo Chat, and the broader Atlassian ecosystem.

Teamwork Graph Integration

Through the Teamwork Graph CLI, coding agents like Cursor, Claude Code, and Codex can ground their work in the relevant information before planning, generating, or reviewing code. Code Context lets agents uniquely combine code with related signals from Jira work items, Confluence pages, Loom videos, and third-party sources from 50+ connectors. In internal benchmarks, agents enriched by the Teamwork Graph delivered 44% more accurate results while using 48% fewer tokens compared to agents operating without that context.

"When an agent starts in the wrong place, everything slows down and costs more. Developers end up explaining where to look, why the code works the way it does, and what else it touches. Code Context puts all of that in front of the agent from the start, so it can focus on getting the work done," said Mark Walz, Chief Technology Officer of SpotOn.

"The organizations seeing the most success with AI aren't just spending the most; they're the ones giving it the best context with the right access. Frontier intelligence gives teams speed. Context points that speed in the right, most impactful direction. We're finding that real acceleration in software delivery comes from combining both," said Sanchan Saxena, senior vice president and head of product for Teamwork Collection, Atlassian.

About Atlassian

Atlassian unleashes the potential of every team. A recognized leader in software development, work management, and enterprise service management software, Atlassian enables enterprises to connect their business and technology teams with an AI-powered system of work that unlocks productivity at scale. Atlassian's collaboration software powers over 85% of the Fortune 500 and 350,000+ customers worldwide - including NASA, Rivian, Deutsche Bank, United Airlines, and Bosch - who rely on our solutions to drive work forward.

  • Code ContextCoding AgentsDeveloper ProductivityAI
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