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.
An engineer describes the shift from 2025 to 2026, where AI agents are now reliable enough to write entire PRs, diagnose most bugs, and handle testing and setup tasks. He avoids using LLMs for public communication like PR descriptions or Slack messages, and emphasizes finding the right balance between over- and under-utilizing agents.