2026年、スタッフエンジニアとしてのLLM活用術
スタッフエンジニアが2025年から2026年にかけてのLLM活用の変化を解説。エージェント性能が大幅に向上し、コード変更の大半をエージェントに任せ、バグ調査やテスト・環境設定にも積極的に活用している。一方で、PR説明文やメッセージなどのパブリックコミュニケーションやUIテストにはAIを使わず、適切なバランスを見極めることが重要だと述べている。
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A staff engineer reflects on their practical use of LLMs in 2026, describing them as a helpful tool for code generation, refactoring, and documentation, while emphasizing the importance of human judgment in reviewing and adapting AI-generated output.
The author, a staff engineer, describes using LLMs primarily as a code review tool and for generating boilerplate code, while emphasizing that LLMs are not yet reliable for complex architectural decisions or writing production-ready code without careful human oversight. They find the most value in using LLMs to quickly get feedback on design documents and to automate tedious coding tasks.