A new report from GitClear has raised concerns about AI coding assistants, such as GitHub Copilot, indicating they may be adversely affecting code quality despite their rising popularity. Analyzing over 211 million lines of code from 2020 to 2024, the report noted a significant decline in code reuse last year—a practice critical for ensuring system redundancy. Surveys suggest that developers are spending increasing amounts of time addressing bugs in AI-generated code, pointing to potential stability issues in software delivery.
AI coding assistants like GitHub Copilot may seem to enhance productivity, but they could actually be diminishing overall code quality, as indicated by a comprehensive report.
Reports show that while AI coding tools may speed up certain processes, they lead to more debugging and security issues, raising concerns about code reuse.
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