TL;DR: Harper Reed shares a code generation workflow using LLMs, focusing on brainstorming, planning, and execution. He details two approaches: greenfield (new projects) and incremental (existing codebases). His steps involve honing ideas with a conversational LLM, creating detailed specs, and employing tools like Claude and Aider for execution. Despite the efficiency, he highlights limitations, such as solo work and potential environmental impacts of AI. He encourages skeptics to explore AI's benefits through resources like Ethan Mollick's book, aiming for a collaborative coding experience.
My LLM Codegen Workflow Atm
