A new paper explores how software engineering practices must adapt to the rise of generative AI, which shifts the focus from scarce implementation effort to abundant, low-cost code production. The study details a 12-week case where an expert engineer used AI coding agents to build a document accessibility system, generating extensive code and test suites. This process led to the development of a "governance conversion" model, which explains how engineers can manage and maintain AI-generated code by identifying and converting failures into governance mechanisms. AI
IMPACT Suggests a new paradigm for software engineering, focusing on managing and validating AI-generated code rather than manual coding.
RANK_REASON Academic paper on AI's impact on software engineering practices. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX Code Finder for Papers
- CORE Recommender
- DagsHub
- generative artificial intelligence
- Gotit.pub
- governance conversion
- Hugging Face
- Influence Flower
- ScienceCast
AI-generated summary · Google Gemini · from 2 sources. How we write summaries →
