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New GitHub Copilot research finds 'downward pressure on code quality' (visualstudiomagazine.com)

468 points by ceejayoz · 933 days ago · 322 comments on HN

Article summary

A new research paper from GitClear found that the use of GitHub Copilot, an AI-powered coding tool, is associated with a decline in code quality and maintainability. The study analyzed 153 million changed lines of code and found that code churn, or the percentage of lines that are reverted or updated, is projected to double in 2024 compared to 2021. The paper suggests that AI-generated code can lead to more mistakes and less refactoring, resulting in lower quality code. This finding contrasts with other studies that have shown GitHub Copilot to improve developer productivity and satisfaction.

Main themes

  • AI and code quality
  • productivity vs quality
  • human skills and technology
  • impact of AI on workforce
  • trade-offs of AI adoption
  • complexity of human-AI interaction

What commenters say

  • The use of AI tools like GitHub Copilot may make people dumber over time by reducing the need for critical thinking and problem-solving skills.
  • The internet and other technologies have also been accused of making people dumber, but they have also made it easier to access information and learn new things.
  • The decline in code quality associated with GitHub Copilot may be a trade-off for increased productivity and speed.
  • The impact of AI on human intelligence and skills is complex and depends on various factors, including how the technology is used and the context in which it is deployed.
  • Some people argue that the benefits of AI-powered tools like GitHub Copilot outweigh the potential drawbacks, while others believe that the negative effects on code quality and human skills are significant concerns.
  • The relationship between technology and human intelligence is not a zero-sum game, where one side necessarily loses as the other gains.
  • The use of AI tools like GitHub Copilot may lead to a shift in the types of skills that are valued in the workforce, with more emphasis on high-level thinking and less on routine coding tasks.
  • The long-term effects of relying on AI-powered tools like GitHub Copilot are uncertain and require further research and consideration.