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Merge pull request #208 from i0natan/test-and-quality-4.9-diff-with-lint

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Explain how code analysis is different than linting
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Yoni Goldberg
2018-07-15 11:19:58 +03:00
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@ -455,8 +455,7 @@ All statements above will return false if used with `===`
## ![✔] 4.9 Refactor regularly using static analysis tools
**TL;DR:** Using static analysis tools helps by giving objective ways to improve code quality and keep your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells (Complex code, Duplication, etc).
Two examples of tools you can use are [Sonarqube](https://www.sonarqube.org/) (2,600+ [stars](https://github.com/SonarSource/sonarqube)) and [Code Climate](https://codeclimate.com/) (1,500+ [stars](https://github.com/codeclimate/codeclimate)).
**TL;DR:** Using static analysis tools helps by giving objective ways to improve code quality and keep your code maintainable. You can add static analysis tools to your CI build to fail when it finds code smells. Its main selling points over plain linting are the ability to inspect quality in the context of multiple files (e.g. detect duplications), perform advanced analysis (e.g. code complexity) and follow the history and progress of code issues. Two examples of tools you can use are [Sonarqube](https://www.sonarqube.org/) (2,600+ [stars](https://github.com/SonarSource/sonarqube)) and [Code Climate](https://codeclimate.com/) (1,500+ [stars](https://github.com/codeclimate/codeclimate)).
**Otherwise:** With poor code quality, bugs and performance will always be an issue that no shiny new library or state of the art features can fix.