Summary
This white paper discusses the application of Generative AI (GenAI) in code creation, emphasizing the use of Large Language Models (LLMs) in software development processes. It outlines the objectives of leveraging AI technologies to enhance application development efficiency, enabling developers to focus on higher-value tasks while reducing effort in producing quality code. The document details the organization’s journey in evaluating various AI models, including GPT-4o and Claude 3.7 Sonnet, to assess their code generation capabilities. It describes the setup and configuration of development environments, specifically selecting Cursor with Claude for seamless integration and real-time collaboration. The white paper also emphasizes the importance of prompt engineering, where iterative refinements improve code generation outcomes. Challenges faced during the prompt refinement process are documented, along with strategies for effective communication with the AI. The paper concludes with insights on the development process and the resulting application framework created through AI assistance.
