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# JetBrains Qodana

**[JetBrains](https://daily.dev/sources/jetbrains)** · 15 min read · 0 upvotes · 0 comments

## Summary

Code coverage measures the percentage of source code executed by automated tests. This guide covers core coverage metrics (line, branch, condition, path), how to measure them using tools like JaCoCo, Jest, pytest-cov, and Coverlet, and practical steps to improve coverage without wasting effort. Key takeaways: 80% is a healthy target for critical business logic, 100% is rarely practical, and high coverage doesn't guarantee bug-free code. The post also explains how to integrate coverage reports into CI/CD pipelines and JetBrains IDEs via Qodana, and warns against common pitfalls like using coverage as a KPI or ignoring branch-level metrics.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.jetbrains.com/qodana/2026/07/code-coverage-tests>

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---

Tags: [#devtools](https://daily.dev/tags/devtools), [#testing](https://daily.dev/tags/testing), [#cicd](https://daily.dev/tags/cicd)

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