TLDR · PROGRAMMING, DESIGN & DATA SCIENCE

NEW GITHUB COPILOT RESEARCH FINDS 'DOWNWARD PRESSURE ON CODE QUALITY'

visualstudiomagazine.com4 min read

Summary from the TLDR newsletter

A recent study on the quality and maintainability of AI-assisted code found disconcerting trends for maintainability. The percentage of lines that are reverted or updated less than two weeks after being authored is projected to double this year compared to a pre-AI baseline. Using AI coding tools is strongly correlated with mistake code being pushed to repositories. While AI may be able to produce code faster, the code it produces needs to be cleaned up, potentially removing the benefits of fast code generation.