Part 4/9:
Coding and AI’s Place in Software Development
With regard to coding, Nathan discussed how generative AI has emerged as a powerful tool for software developers. Advanced models can now handle larger codebases, enabling them to generate functional code tailored to specific user requests. However, he noted that while coding with AI can be efficient, the quality of outputs varies based on the coder's expertise. Thus, domain knowledge remains crucial even as AI's aid in generating code becomes more prevalent.
Moreover, Nathan emphasized the importance of human oversight in coding AI-generated scripts, noting the current industry trend where software engineers often rely on AI-generated code, yet still validate and refine this code before deployment.