2026
Preprint / Working Paper
Vibe Coding in Software Development: A Multivocal Literature Review
Short-term productivity or time-to-prototype gains were reported in 21 of the 47 included sources.
arXiv
- Rapidly Built Software
- AI-Assisted Development
Evidence note
An empirical analysis of 22,953 AI-assisted pull requests from 1,719 contributors in open-source GitHub repositories.
Contributors were grouped using an experience proxy based on historical GitHub contribution activity.
22,953 pull requests; 1,719 contributors.
Why it matters. Lornets interpretation.
The speed or volume of code generation should not be treated as equivalent to downstream integration efficiency. Review, architecture fit and repository-specific constraints remain part of the engineering system.
This is the Lornets reading of the source, not a finding of the source itself.
Framework domains
Where this applies
Last verified 2026-08-11
2026
Preprint / Working Paper
Short-term productivity or time-to-prototype gains were reported in 21 of the 47 included sources.
arXiv
2025
Industry Survey
84% of respondents to the relevant question said they were using or planning to use AI tools in development.
Stack Overflow
2025
Peer-Reviewed Research
AI-generated code was generally structurally simpler and more repetitive in the studied samples.
IEEE ISSRE 2025