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AI Coding Aid Hinders Skill Mastery, Study Finds
1 Feb
Summary
- AI users finished tasks faster but scored worse on skill tests.
- Asking conceptual questions of AI improved programmer performance.
- Delegating all coding to AI led to the poorest results.

While artificial intelligence tools like Claude can accelerate coding, they may come at the expense of genuine skill development and mastery, according to recent research. A study involving 52 junior software engineers revealed that participants who received AI assistance completed coding tasks approximately two minutes faster.
However, this speed came with a significant drawback: those using AI averaged 50% on a post-task quiz, starkly contrasting with the 67% achieved by the non-AI group. The performance gap was most pronounced in debugging, highlighting how cognitive effort and even struggle are vital for learning.
Researchers found that the method of AI interaction profoundly affected skill acquisition. Participants who exclusively relied on AI or those who tried manual coding before resorting to AI generally fared poorly. Optimal results were seen in users who engaged AI by asking conceptual questions or requesting explanations of code logic.




