Agentic engineering in Jira

Jira has advanced its platform to support modern software development by integrating with various coding tools. It helps teams manage and scale their agent-based engineering efforts. Key features include: * Delegating tasks to external coding assistants like Claude, Cursor, and GitHub Copilot. * Converting Slack conversations directly into actionable work items. * Utilizing Jira Planner to draft technical specifications with comprehensive context. * Employing Jira Coding Agent to transform work items into review-ready pull requests. This integration allows for a streamlined development process where ideas are quickly turned into agent-ready tasks. The Teamwork Graph pulls relevant context from across your stack, including Jira, Confluence, and GitHub, ensuring coding tools have the clarity needed before generating any code. This approach has shown significant improvements in output quality and reduced resource usage. Jira is ideal for engineering teams and developers aiming to optimize their coding workflows and leverage external code creation tools effectively. By centralizing planning, orchestration, and review within Jira, teams can maintain control and validate decisions before deployment, fostering a more efficient and collaborative development environment.