Challenge analysis
Older projects are often characterized by large amounts of code and confusing structures, and manual evaluation is time-consuming, laborious and inaccurate.
prescription
- Rapid mapping: Run
fuck-u-code analyze --summaryGet an overall quality score in 60 seconds! - hierarchical diagnosis: By
--lang zh-CNAccess to reports in Chinese, analyzing indicators by module - precise positioning: Use
docker run -vScanning production code in a way that avoids interference with the local environment
Implementation of recommendations
It is recommended that a combination of--top 10 --issues 5parameters, prioritizing the 10 most problematic documents and their 5 main issues to form a refactoring roadmap
This answer comes from the articlefuck-u-code: a testing tool for assessing code qualityThe
May not be reproduced without permission:AI productivity tools " How to overcome the difficulties of technical debt assessment for old projects?
