Research Raises Concerns Over AI Impact on Code Quality

January 25, 2024 Recent findings from GitClear, a developer analytics firm, indicate that the increasing reliance on AI assistance in software development may be adversely affecting code quality. The study, which analyzed a staggering 150 million changed lines of code from both private and open-source projects, has brought to light several concerning trends, including a rise in code churn and a higher incidence of repetitive code.

GitHub’s Copilot, a leading AI coding assistant used by over a million developers, has been reported to increase task completion speed by 55%, with 46% of code in enabled files being generated by the tool. However, GitClear’s research shifts the focus from the quantity to the quality of code produced with AI assistance. The study points out that AI tools tend to suggest additions to the code but seldom recommend updates, relocations, or deletions. This pattern raises questions about the conciseness and readability of the resulting code.

A significant finding of the research is the increase in code churn, which has escalated to 7.1% from 3.3% in 2020. Additionally, there has been a noted decrease in the movement of code, suggesting a reduction in code refactoring activities. The researchers have expressed concerns over the growing tendency to use copied and pasted code, citing it as a major challenge for the long-term maintainability of software.

While the exact reasons behind these trends are subject to speculation, the researchers associate them with the burgeoning use of AI in coding. They advise engineering leaders to closely monitor these trends and consider their potential impact on future product maintenance.

The study concludes that AI coding assistants, in their current state, are unlikely to replace human developers. The AI tools are deemed too error-prone and not yet capable of securely modifying existing code. This insight may offer some reassurance to developers who fear being supplanted by AI, highlighting the current limitations and challenges of AI in coding scenarios.

Sources Include: The Register

Top Stories

Related Articles

April 21, 2026 Deezer says it is now receiving nearly 75,000 AI-generated song submissions each day, accounting for about 44 more...

April 21, 2026 Google has warned that advances in quantum computing could expose Bitcoin to theft during active transactions, urging more...

April 21, 2026 Artificial intelligence is advancing rapidly across capability, adoption and economic impact, according to new data from Stanford more...

April 21, 2026 An open-source project called OpenMythos has proposed a detailed, code-level reconstruction of the unpublished “Claude Mythos” model more...

Picture of Jim Love

Jim Love

Jim Love's career in technology spans more that four decades. He's been a CIO and headed a world wide Management Consulting practice. As an entrepreneur he built his own tech business. Today he is a podcast host with the popular tech podcasts Hashtag Trending and Cybersecurity Today with over 14 million downloads. As a novelist, his latest book "Elisa: A Tale of Quantum Kisses" is an Audible best seller. In addition, Jim is a songwriter and recording artist with a Juno nomination and a gold album to his credit. His music can be found at music.jimlove.com
Picture of Jim Love

Jim Love

Jim Love's career in technology spans more that four decades. He's been a CIO and headed a world wide Management Consulting practice. As an entrepreneur he built his own tech business. Today he is a podcast host with the popular tech podcasts Hashtag Trending and Cybersecurity Today with over 14 million downloads. As a novelist, his latest book "Elisa: A Tale of Quantum Kisses" is an Audible best seller. In addition, Jim is a songwriter and recording artist with a Juno nomination and a gold album to his credit. His music can be found at music.jimlove.com

Jim Love

Jim is an author and podcast host with over 40 years in technology.

Share:
Facebook
Twitter
LinkedIn