The Future of Software Engineering with Large Language Models: A Current Assessment

A recent study investigated how developers at major tech companies and and startups perceive and utilize artificial intelligence tools. The findings indicate a rapid increase in the adoption of these technologies, fundamentally shaping the future of software engineering.

The Future of Software Engineering with Large Language Models: A Current Assessment

The central theme of a recent research study revolved around how software developers, from leading technology giants to innovative startups, utilize artificial intelligence tools and what their actual experiences entail. This study, presented at a conference aimed at development leaders, explored the current state of these technologies' adoption.

For the purposes of this research, interviews were conducted with a broad spectrum of experts. Respondents included developers from companies specializing in AI tools for development, from large technology firms, and from AI startups focused on areas such as incident resolution or biotechnological research. Independent and renowned software engineers also provided valuable insights, free from ties to specific products or platforms.

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A key finding from the conducted investigation is that AI-based tools are rapidly proliferating in software development. It is highly probable that they will fundamentally transform how engineers design, implement, and maintain software. However, the precise contours and long-term impact of these changes are not yet fully understood.

The current era presents an ideal opportunity for intensive experimentation with these new technologies. It is essential to approach them with an open mind, while simultaneously maintaining a critical distance to fully leverage their potential and remain aware of their limitations.

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