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Vol. 6 No. 1 (2025)
2025 Edition

Short Articles

AI-Assisted Code Generation and Optimization in .NET Web Development

Published 2025-01-24

  • Aditya S Shethiya

Aditya S Shethiya
University of Bridgeport, Connecticut, USA

Abstract

The rapid evolution of artificial intelligence (AI) has transformed software development by automating repetitive tasks, improving code quality, and optimizing application performance. In .NET web development, AI-assisted tools and techniques enhance productivity by generating code snippets, detecting errors, and recommending efficient algorithms. This paper explores the role of AI in code generation and optimization within the .NET ecosystem, focusing on AI-powered development environments, intelligent refactoring, and performance tuning. It discusses how AI-driven assistants such as GitHub Copilot and Azure AI improve developer efficiency, reduce technical debt, and enhance software security. Additionally, the paper examines AI’s role in code optimization, including performance profiling, predictive debugging, and automated testing. While AI-assisted coding presents significant advantages, challenges such as reliability, security, and ethical considerations remain. By leveraging AI-driven automation, .NET developers can build scalable, high-performance web applications with reduced development time and improved maintainability.

Keywords

AI-assisted coding, code generation, NET web development, AI-driven automation

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