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Quickstart metrics guide: Rework
Rework is a natural part of software development—but too much rework signals deeper problems.
This guide will show you why Rework matters, how to measure it, and how to reduce it with smart practices and automation.
Quickstart metrics guide: Rework
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Why Rework matters
Rework measures changes to recent code—any code modified within the last 21 days.
A balanced mix of new work, refactors, and rework is a sign of a healthy engineering process.
High rework rates can indicate:
Gaps in initial planning or unclear requirements
Overly large PRs or skipped reviews
Inefficient testing and CI workflows
Rework Benchmarks
Where does your team stand?
Based on 6.1M+ PRs from 3,000 teams across 32 countries:
- Elite: <3%
- Good: 3–5%
- Fair: 6–7%
- Needs Focus: >7%
Practices for improving Rework
To lower rework, teams need to combine quality-focused habits with workflow automation.
LinearB automation makes this simple with:
- AI Code Review & PR Descriptions for faster, higher-quality reviews
- Automated Change Requests to catch deprecated components or missing data objects
- Code Expert Assignment to route PRs to the right reviewers
- Real-Time Bot Notifications to keep code moving and prevent unreviewed merges
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