Improving Coding Agent Experience

This post details improvements in identifying suitable work items for coding agents by analyzing indicators like description length, link ratio, presence of file paths, code snippets, and technical terms. A classical ML model is used for classification, providing feedback to users on improving work item descriptions. Additionally, the 'similar work items' feature leverages Jira AI to fetch semantically similar work items with associated PR diffs as context for coding agents, improving resolution rates for infrastructure updates and feature changes.