🔗 How I use LLMs as a staff engineer in 2026

A year can bring significant changes in technology use. In this article, the author reflects on how they leverage large language models (LLMs) as a staff engineer in 2026, detailing a notable enhancement in efficiency and accuracy. Tasks that once required close supervision, such as writing code changes and debugging, have become more streamlined with current models that can analyze complex problems independently.

The article highlights a shift from skepticism to reliance, with LLMs now effectively handling routine tasks while the engineer focuses on strategic judgment. The author notes routine usage for investigating bugs and generating pull requests, while still emphasizing the importance of human oversight when it comes to critical communications and UI testing. As LLM technology evolves, the balance of delegation and supervision remains a key consideration.