AI BriefingImproving Code Quality with detekt and reviewdog
Key point
This article introduces a case study from Oliveyoung's Product Squad, where detekt, reviewdog, and GitHub Actions were adopted to automate code conventions and improve code quality.
Details
Oliveyoung's Product Squad introduced a new Code Detecting Process to maintain Code Convention and improve code quality in a Kotlin-based project involving multiple developers.
The previously used SonarQube had limitations in that writing Custom Rules was difficult, and it was hard to perfectly detect all code issues. To solve this, they built a workflow combining detekt, reviewdog, and GitHub Actions.
detekt is a code analysis tool specialized for Kotlin, making it easy to detect code complexity and Code Smells, and allowing free creation of custom rules. Oliveyoung leveraged this by creating a separate olive-rules module and directly implementing and applying Custom Rules needed by the team, such as SaveCheck and HttpMethodCheck.
By integrating GitHub Actions with reviewdog, code is automatically inspected when a Pull Request (PR) is created, and the review results are displayed directly on the PR, automating the process and boosting development productivity.
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