An article reflects on the changing nature of software development in the age of AI-assisted coding. The author, a seasoned developer, suggests that traditional methods are becoming obsolete due to the rise of Large Language Models (LLMs). They point towards a shift where the cost of generating code has drastically decreased, fundamentally altering the development process.

This perspective stems from witnessing the evolution of software from basic scripting to complex systems and now, AI-driven code generation. The author emphasizes that LLMs can now handle tasks like generating documentation and UI elements, blurring the lines of what constitutes a 'good' codebase. It becomes harder to gauge quality.

Historically, code quality was assessed through factors like documentation, community engagement, and code organization. However, LLMs can now produce polished outputs, making it difficult to distinguish between human-written and AI-generated code. This necessitates a closer look at the provenance of software, emphasizing the importance of understanding the creators and their motivations.

As AI continues to advance, the focus in software development may shift towards areas like code review, architecture design, and system integration. The author's observation implies that the industry is at an inflection point, with AI tools reshaping how we create and assess software. What comes next is a period of adaptation and a re-evaluation of core developer skills.