Why Complex Frameworks Like Angular and React Slow Down AI Code Generation

A developer essay argues that enterprise frameworks such as Angular, React, and Nx create significant friction for AI coding tools due to their multi-file structures, boilerplate, and deep folder hierarchies. Because large language models process code token by token, every added layer of architectural complexity translates into higher costs, greater latency, and more context window usage. The author contends that this represents a new economic cost model distinct from the cognitive overhead frameworks were originally designed to manage for human engineering teams. As an alternative, flat architectures built on native web standards are proposed, where a component can be a single self-contained object with no decorators, modules, or build steps required. The piece concludes that while context windows are growing, minimizing token usage remains a durable advantage regardless of how capable AI agents become.