The article discusses how code review should evolve in the age of large language models (LLMs). It emphasizes aligning human understanding and expectations rather than merely fixing code issues, highlighting the importance of communication and reasoning skills over mechanical coding ability. The author argues that effective reviews should focus on shared system knowledge and high-level concepts.

Non-programming leaders starting to contribute to code with LLMs can increase iteration speed and introduce diverse perspectives, but this also risks compromising the implicit architecture of the codebase. As more non-engineers make changes, maintaining design intent and code maintainability becomes a challenge, requiring developers to adapt their roles to focus on architectural oversight. Despite these risks, democratizing coding could lead to better solutions as more perspectives are included in the development process.