The use of AI coding assistants has led to a significant 50% increase in code churn, according to research by GitClear. Code churn refers to changes that were initially incomplete or erroneous when committed to a repository. Additionally, there has been a notable decrease in the number of lines of code moved, indicating less refactoring. This suggests a rise in complacency and a decline in code quality as more code is written without corresponding improvements. The Technology Radar report highlights opportunities in coding assistance, mentioning tools like Cursor, Cline, and Windsurf that can enhance software engineering. However, the report also emphasizes the importance of maintaining good coding practices, such as clear naming and reducing duplicate code, to ensure AI systems can effectively interpret and assist with code.
Source: www.technologyreview.com

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