Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation
cs.AI, cs.CL, cs.CY, cs.SE
Submitted: 2025-05-25
Updated: 2025-05-25
Comments: preprint
Journal ref: Philosophy & Technology, 2026
DOI: 10.1007/s13347-026-01056-x
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- A Taxonomy of Inefficiencies in LLM-Generated Python Code
- Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlessly
- Bias Testing and Mitigation in LLM-based Code Generation
- Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
- A Self-Improving Coding Agent
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