Matt Pocock advocates for using Plan Mode in AI coding, a process where AI agents create a detailed plan before executing code changes. He initially doubted AI's coding abilities but was won over by Plan Mode, which involves planning with AI, executing the plan, and collaborative testing. Matt emphasizes that Plan Mode helps load the LLM's context with relevant information and allows developers to refine their ideas through iterative feedback with the AI. He shares a personal experience of using Plan Mode to fix a bug in his course video manager, highlighting how the AI asked clarifying questions to fill in missing information. To improve plan readability, he recommends instructing the AI to be concise and list unresolved questions. While acknowledging that experienced developers might sometimes code faster independently, he argues Plan Mode is invaluable for unfamiliar codebases and complex architectural changes.
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