How We Cut up to 80% of Engineering “Chores” Using AI Agents in Jira

This post details the practical application of AI agents within Jira for automating engineering chores. It describes how structured Jira work items, combined with reusable agent skills and explicit instructions, are used to delegate tasks like fixing flaky tests and cleaning up stale feature flags. For flaky tests, it outlines specialized agent skills (unit, integration, visual regression) and reproduction instructions. For feature flag cleanup, it explains how cron jobs create Jira tickets with flag context, and how agents use repository-specific skills or a fallback generic skill to generate pull requests. The human-in-the-loop aspect is emphasized, with engineers reviewing and merging agent-generated code.