My LLM coding workflow going into 2026

AI coding assistants became game-changers this year, but harnessing them effectively takes skill and structure. These tools dramatically increased what LLMs can do for real-world coding, and many developers (myself included) embraced them. At Anthropic, for example, engineers adopted Claude Code so heavily that today ~90% of the code for Claude Code is written by Claude Code itself. Yet, using LLM

[mkusaka]

AIコーディングはまず spec.md を作り、タスクを小分けに。Claude Codeは自ら書いたコードが約90%です。 テスト駆動で小さくイテレーションし、Gitで頻繁にコミットすることも推奨。