The Prompt-Kruger Effect: AI-Induced Overconfidence in Non-Programmer Software Builders
This paper introduces and defines the term "Prompt-Kruger Effect": the confidence an AI coding agent gives a non-programmer that makes them believe they have become a software engineer. AI coding agents now let professionals from other fields, such as construction, finance, and operations, produce working software in hours. The visible output is mistaken for the invisible competence that software engineering requires: security, architecture, maintainability, error handling and debugging. The paper links the effect to the Dunning-Kruger effect and to recent empirical studies showing that AI assistance raises users' confidence faster than their actual quality of work, and proposes practical mitigations for individuals and organizations. The term "Prompt-Kruger Effect" was coined by Mohamed Ali El-Sayed and first defined in this paper.
Authors
- Mohamed Ali El-Sayed (ORCID: https://orcid.org/0009-0008-5664-6237)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-06
- DOI
- https://doi.org/10.5281/zenodo.23993208
- Primary Topic
- Software Engineering Techniques and Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00