Date of Completion

Spring 5-1-2026

Thesis Advisor(s)

Lina Kloub

Honors Major

Computer Science and Engineering

Abstract

Artificial intelligence (AI) is a powerful tool that can help accelerate the accumulation of software debt, but it also provides the tools needed to manage and reduce that same burden. In this paper, we discuss the impact of AI-powered code tools on technical debt, as well as how these tools can be used to assist developers in their current practices. We also discuss some of the challenges that can arise when developers accept AI-generated code without going through the best practices of software engineering. The case studies in this paper show that the path to sustainable software in the era of AI is not to fear the automation, but to cultivate habits that elevate quality alongside productivity. It is clear that developers' new challenge is to use AI as a helpful tool while still protecting the core principles that make software reliable in the long run.

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