Why better tickets help agents write better code

This post details how a team used AI agents and well-scoped Jira tickets to achieve a 5x increase in per-engineer output (lines of code, complexity, schema size, integrations) and a significant improvement in ticket quality (4.47/5 average score, 83% agent-ready). It emphasizes the value of detailed, executable tickets with clear acceptance criteria and context for agent execution, contrasting this with traditionally authored tickets. The post also identifies a gap in capturing emergent issues surfaced by agents during development and proposes making agent activity a first-class citizen on tickets as a solution.