The Evolution and Challenges of AI Coding Agents: From Dial-Up to Highway

The rapid advancement of Large Language Model (LLM)-powered AI coding agents has brought unprecedented productivity gains, but also immense infrastructure challenges. Drawing an analogy to the dial-up internet era, the author describes the evolution of AI coding agents from early inefficient and unreliable states to their current widespread use, while still facing high latency and cost issues. The author argues that higher tok/s (tokens per second) speeds are key and predicts the future will see more advanced, less manually-intensive AI coding workflows, and more flexible pricing models to cope with peak loads.