Could this be the reason why some people see large coding productivity improvement, while others almost nothing?

Reddit r/ArtificialInteligence Papers

Summary

This paper investigates why some developers experience significant coding productivity improvements from AI assistance while others see little to no benefit, exploring factors that may explain the variance.

No content available
Original Article
View Cached Full Text

Cached at: 07/27/26, 01:42 AM

# Client Challenge Source: [https://idp.springer.com/transit?redirect_uri=https%3A%2F%2Flink.springer.com%2Fcontent%2Fpdf%2F10.1007%2Fs44427-025-00019-y.pdf&code=d9764c84-9f16-4d62-b011-3f6cfc5f7fb8](https://idp.springer.com/transit?redirect_uri=https%3A%2F%2Flink.springer.com%2Fcontent%2Fpdf%2F10.1007%2Fs44427-025-00019-y.pdf&code=d9764c84-9f16-4d62-b011-3f6cfc5f7fb8) A required part of this site couldn’t load\. This may be due to a browser extension, network issues, or browser settings\. Please check your connection, disable any ad blockers, or try using a different browser\.

Similar Articles

The AI productivity numbers don't match what I actually see on my team

Reddit r/artificial

The author, running a small dev team, shares mixed real-world results from using AI coding tools: they speed up boilerplate and onboarding, but produce confident wrong answers on complex problems and increase code review workload, yielding modest net gains far below the often-cited 10x improvement.

AI's Measured Impact on Engineering Velocity (4 minute read)

TLDR AI

Abi Noda of DX and Brian Houck of Microsoft share early findings from DX's research on AI's impact on engineering velocity, revealing a modest 10-15% increase in PR throughput, far below the 10x hype. They discuss why coding is only a small part of developer work, the risk of 'false velocity', and opportunities for AI beyond coding.