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Review article examines generative AI's effects on freelance software development and code security, indicating changing roles for developers.
The software engineering landscape is currently navigating a pivotal transformation driven by the integration of Large Language Models (LLMs) and Generative AI (GenAI) into the development lifecycle. This review article examines the dual impact of these technologies on the freelance economy and software security. While industry data from 2024–2025 indicates that GenAI tools can accelerate coding tasks by up to 45%, they simultaneously introduce significant risks, including the propagation of vulnerable code patterns (such as CWE-787 and CWE-89) and the erosion of entry-level opportunities. We analyze how the role of the freelance developer is shifting from manual syntax construction to "AI-assisted system architecture," necessitating a fundamental re-evaluation of computer science education and freelance business models. This paper argues that while the barrier to entry for coding has lowered, the barrier to competence regarding security and architecture has risen.
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Mr. Tayabur Rahman Laskar (2025) studied this question.
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