I’d suggest a slightly different workflow depending on experience level.
Beginners should follow the practice described in the article: have the LLM propose code, then type it manually. This forces you to examine each step, question unfamiliar decisions, and build a stronger mental model of the codebase.
Experienced developers who already understand the underlying concepts may find autocomplete more practical when writing from scratch. It preserves control over structure, comments, and coding style while preventing tools such as Opus or Fable 5 (Both of these models loves adding tons of comment in your codebase) from generating bloated code, excessive comments, or patterns that do not match the existing codebase.
Beginners should follow the practice described in the article: have the LLM propose code, then type it manually. This forces you to examine each step, question unfamiliar decisions, and build a stronger mental model of the codebase.
Experienced developers who already understand the underlying concepts may find autocomplete more practical when writing from scratch. It preserves control over structure, comments, and coding style while preventing tools such as Opus or Fable 5 (Both of these models loves adding tons of comment in your codebase) from generating bloated code, excessive comments, or patterns that do not match the existing codebase.