Documentation Index
Fetch the complete documentation index at: https://docs.trunk.io/llms.txt
Use this file to discover all available pages before exploring further.
Analyze merge queue performance for specific parts of your codebase
Now you can filter merge queue health metrics by impacted targets to see exactly how well this
parallel workflow is performing for each part of your codebase. For example, in a TypeScript/Python
monorepo, you can view metrics specifically for TypeScript PRs versus Python PRs, identify if one
team is experiencing slower merge times than another, and optimize queue configuration for your
highest-priority code paths.
This visibility helps you demonstrate the value of parallel mode to engineering leadership, ensure
fair queue performance across teams, and make data-driven decisions about how different parts of
your codebase move through the merge process and priorities.
Read the Docs
to learn more
