From prompts to orchestration: Scale AI coding agent impact with Jira Automation

This post introduces the expansion of Jira Automation to serve as an open control plane for AI coding agents, integrating native action steps for GitHub Copilot, Cursor, and Claude. It details how automation rules can be configured with triggers, conditions, and actions to package structured context, invoke agents with custom prompts, and log outcomes. The post provides three concrete examples of agentic automations: automated vulnerability patching, stale feature flag cleanup, and continuous bug triage, highlighting how these loops can reduce response times and technical debt.