Cadmus
AI-Assisted Code Generation in Software Development
Pages
8
Time to read
16 mins
Publication
Language
English
Pages
8
Time to read
16 mins
Publication
Language
English
This whitepaper presents an exploration of AI-assisted code generation in enterprise software development, focusing on the integration of Large Language Models (LLMs) and Generative AI (GenAI) technologies. It outlines how experienced developers can leverage these technologies to enhance application development efficiency, allowing them to concentrate on more complex and creative tasks while generating enterprise-grade code with reduced effort. The document details a case study where an AI-powered application generator was developed, capable of producing complete, functional codebases from natural language requirements. It discusses the transformative impact of GenAI on the software development lifecycle, emphasizing the potential for increased productivity across various industries. The paper also describes the methodology used for evaluating different AI models, the configuration of the development environment, and the iterative process of prompt engineering that improved the quality of generated code. Through this exploration, the whitepaper illustrates the collaborative nature of AI-assisted development and the importance of effective communication with AI systems.