clairecarouge
(Claire Carouge, ACCESS-NRI Land Modelling Team Lead)
1
This is an interesting study by GitClear:
It finds signs that code quality is declining following the introduction of AI assistants for coding.
The main indicator is code churn, i.e. code modified within 2 weeks of being implemented. The occurrence of code churning has significantly increased since 2022, the year when AI assistants became available.
It also finds there is an increase in copy/pasting code and a decrease in code being moved. This means code is duplicated within code bases instead of developers refactoring the code base to reuse the functionality elsewhere.