Paper by Abubakar Bello Bada et al: “Software development as an engineering discipline is characterized by tension between abstraction and precision. It has undergone a tremendous transformation over the decades, from highly rigid machine language programming to the modern day vibe coding that tends to democratize software development through automation, abstraction, and artificial intelligence (AI). Vibe coding, a term that refers to AI-assisted and intuition-driven software development methodology. This paper first provides the historical trajectory of software development, arguing that each stage has incrementally democratized software development. The current shift powered by Large Language Models (LLMs) represents the most significant stride in the democratization of software development yet. This paper also enumerates the implications of this shift and the evolution of software development expertise. It concludes that while vibe coding has its challenges, it aligns with the historical evolution of software development, which is the relentless pursuit of higher-level abstraction to harness human creativity and collective intelligence…(More)”.
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in you inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
artificial intelligence, DATA
The geography of AI compute: Mapping what is available and where
Posted in November 4, 2025 by Stefaan Verhulst
artificial intelligence, DATA
Experts find flaws in hundreds of tests that check AI safety and effectiveness
Posted in November 3, 2025 by Stefaan Verhulst
artificial intelligence, DATA
A home genome project: How a city learning cohort can create AI systems for optimizing housing supply
Posted in November 3, 2025 by Stefaan Verhulst