GenAI and Agentic Systems Shift Software Engineering to Intent-Centric Model
A recent study published on arXiv (2605.11027) employs reflexive thematic analysis alongside interpretative phenomenological analysis to investigate the shift in software engineering from a code-focused approach to one centered on human-agent collaboration, driven by generative AI and agentic systems. This research integrates a variety of sources, including peer-reviewed articles, technical benchmarks, public presentations, interviews, essays, product announcements, and discussions originating from X, featuring key figures in AI and software engineering. The study highlights a gap in comprehending how public technical dialogue and scholarly evidence collectively influence the imminent transformation of the profession, emphasizing aspects such as natural language, repository context, tools, tests, and governance that affect delivery.
Key facts
- Study uses reflexive thematic analysis and interpretative phenomenological analysis
- Corpus includes peer-reviewed literature, technical benchmarks, public talks, interviews, essays, product announcements, and X discourse
- Focuses on transition from code-centric to intent-centric software engineering
- Addresses gap in understanding how public discourse and peer-reviewed evidence frame the profession's transition
- Published on arXiv with ID 2605.11027
Entities
Institutions
- arXiv