Rethinking AI Coding Tools: Why Context-Rich Harnesses Matter More Than Models

While large language models and their agents have become highly impressive, the most significant recent advancements in AI-assisted development have occurred in the software that manages those models rather than the models themselves. Earlier this summer, Ars Technica spoke with Cat Wu, Anthropic's head of product for Claude Code, about the company's approach to building that software. The discussion highlighted the shift from simple grep-like searches to context-rich coding harnesses that enhance developer productivity.