As AI code generation tools become mainstream, developers are rethinking what 'craftsmanship' means in software engineering

The rise of AI codegen is shifting the nature of software work from writing code to reviewing, refining, and architecting solutions

Traditional notions of artisanal programming—careful, handcrafted code—are being challenged by the speed and convenience of AI-assisted development

Developers must decide whether to embrace AI tools for productivity gains or maintain manual coding practices for deeper learning and quality control

The debate highlights tensions between efficiency and mastery, as the role of the programmer evolves in an AI-augmented development landscape