Atlassian upgrades AI coding agents for always-on software development
Identifying the next phase of software development as always-on agentic artificial intelligence, Atlassian plc today announced a new set of upcoming Jira features to help engineering teams run AI agents at large scale while governing actions over long periods.
As enterprise engineering teams begin to adopt more agents, they’re not just scaling agents to do more work – they’re working them longer and across more parts of the software development lifecycle. According to Atlassian, letting agents work with less tedious supervision from start to finish comes with caveats because of trust, grounding, shared context, communication, institutional memory and validation.
To address this, the company is releasing updates that govern agentic activity, set standards for action, review AI agents in motion, and validate usage to ensure everything works.
According to Atlassian, agents fail because they don’t have a good view of the architecture of projects, decisions and standards. So, the starting line grounds them with better context, and the company calls this Code Context. It’s built with the company’s Teamwork Graph, which gives coding agents secure intelligence across complex, multi-repository codebases.
