Software development, as it has been practiced for decades, faces a seismic shift due to the rise of large language model (LLM) coding tools. The author reflects on Linus Torvalds’ famous quote, “Talk is cheap. Show me the code,” which emphasized the importance of tangible results in programming. In the past, developing software required significant effort, time, and skill. Developers struggled with unforeseen complexities, trade-offs, and the limitations of human cognition. Many ideas were often left untried due to the high costs of experimentation. Now, with AI-assisted coding, the landscape has changed dramatically. The author, who has decades of experience, argues that traditional methods of software development are becoming obsolete. LLMs can generate well-structured code, documentation, and user interfaces almost instantaneously, blurring the lines between novice and expert contributions. This shift raises concerns about evaluating code quality, as traditional indicators—like commit activity or documentation clarity—no longer reliably reflect a project's merit. The ease of generating polished outputs makes it difficult to assess the true effort and expertise behind a codebase. What’s more, the historical metric of effort in coding has also shifted. In the past, a developer might spend a significant amount of time producing 10,000 lines of quality code. Now, the ability to quickly generate code may undermine the traditional value placed on deep understanding and iterative refinement. This evolution necessitates a new approach to evaluating software, focusing more on the provenance of the code and the intentions of its creators. As the author notes, understanding who wrote the code and their goals has become increasingly important in this new era of software development.