AI 协作程序员代码质量·技术漫谈

发布于 2 月 16 日

Publication and Source: GitClear published AI Copilot Code Quality via The PrimeTime* YouTube channel on Sat, Feb 15, 2025.
Focus and Abstract: The paper focuses on software maintainability instead of boosting developer productivity. It shows signs of eroding code quality with a 6% faster growth in copy/pasted lines and an even faster growth in committed duplicated blocks. A path for developers to get distinct value from code assistants is suggested.
Key Points:
- AI adoption leads to an increase in bugs as the number of "Copy/Pasted" lines exceeds "Moved" lines.
- "Defect remediation" may become the leading developer responsibility instead of developing new features.
- AI can boost productivity metrics by duplicating code, but managers should focus on long-term maintenance cost.
- The current implementation of AI Assistants makes us more productive at the expense of repeating code.
- Google DORA's 2024 survey shows a correlation between AI adoption and lowered code quality.
- A lower percentage of modified lines are for refactoring in 2024 compared to 2020.
- New pull requests often fix issues introduced by previous ones.
- Developers should emphasize human ability to simplify and consolidate code.
Conclusion: The report provides a use case for companies to adopt GitClear. Most tools offer suggestions without leveraging existing code. Integrating LLMs into the development process for reusability and maintainability is a challenge. Using a reasoning model to analyze code and offer suggestions is also a consideration.

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