As their popularity arises, AI coding assistants, e.g. Github subkey It seems to increase productivity. But in reality, they can lead to a decline in overall code quality.
That’s a front-line discovery New report Released by software engineering platform GitClear, the platform analyzes 211 million code lines from 2020 to 2024. According to Gitclear analysis, there is a significant drop in code reuse last year – given that code reuse is a common practice that can help you build redundant systems.
Several recent surveys have shown that AI coding assistants tend to produce different results.
A seat belt from a software vendor It is found that most developers spend more time debugging AI-generated code and security vulnerabilities than human-written contributions. Google ReportsMeanwhile, it was found that AI can speed up code review and benefit documents at the cost of stable delivery.
