AI-assisted coding: Augmenting software development with generative AI

The advent of large language models (LLMs) has introduced a compelling rationale for a paradigm shift to more AI-assisted (augmented) software teams.

The integration of generative AI into software engineering offers the promise of significantly elevated productivity and enhanced quality.

By working with AI assistants powered by LLMs, augmented software teams can automate mundane tasks, expedite debugging, and promote more nuanced, data driven decision making. This optimizes the software life cycle and helps to achieve more milestones along the way.

We call this approach conversational software engineering. The idea is to make the software development workflow more dynamic and interactive, through continuous conversations with the AI assistant in the development environment.

In this paper, we seek to discuss and share how you can better understand, navigate, and benefit from generative AI in software engineering – with particular attention to coding.