The article reviews significant trends and developments in the LLM space throughout 2025, highlighting breakthroughs in reasoning, the rise of coding agents, and the increasing use of LLMs in command-line interfaces. It notes the evolution of tools and models, including the impact of asynchronous coding agents and the normalization of YOLO mode for improved efficiency.

• Reasoning models became mainstream in 2025, significantly boosting LLM performance on complex tasks
• Coding agents surged in popularity, with asynchronous agents enabling developers to offload larger chunks of work
• "YOLO mode" (letting agents run commands without manual approval) went from risky novelty to normalized practice for efficiency
• LLMs increasingly moved into command-line interfaces, embedding AI more directly into developer workflows