Reimagining software delivery with AI-powered workflows in Jira & Bitbucket

This post introduces agentic AI workflows within Bitbucket Pipelines, enabling AI agents to interact directly with Bitbucket Cloud via a custom MCP server. New pipeline triggers (package publication, deployment completion, flaky test identification) and agentic steps are introduced, allowing natural language instructions to execute AI agents for coding tasks, pull request management, and log analysis. Rovo Dev's capabilities are expanded to include generating code from Jira issues, creating Bitbucket PRs, generating PR summaries, performing AI-powered code reviews, and diagnosing/fixing build failures. The post also highlights upcoming test management features within Bitbucket.