The author, initially skeptical, tested Qwen3.6-35B-A3B and found it could solve coding problems that Qwen3.5-27B simply couldn't handle anymore. This occurred while developing a customized budgeting app, where the previous version was introducing technical debt.
The author introduces Origami, a terminal built with LLMs, and shares valuable insights from its development. They emphasize that AI coding isn't a simple solution and highlight software architecture as the most vital skill for effective AI integration.
Cursor is an AI-assisted IDE, forked from Visual Studio Code, that accelerates development with agent-based coding assistance and natural language interaction. It integrates AI functionalities directly into the editor to request modifications, plan architectural changes, and automate tasks.
The author explores how AI assistance tools, such as GitHub Copilot and TabNine, can simplify contributions to the Linux kernel. He shares his personal experience, describing AI as a 'game-changer' after overcoming initial skepticism.