SkillsBench

JetBrains tested the viral 'Caveman' prompting style for AI coding assistants and found it reduces token usage by only 8.5%, far less than the claimed 65%. The technique trims conversational padding b…

Ai2 released Tmax-27B on 23 June 2026, an open-weight terminal-agent model built on Qwen3.6-27B that scores 43% on Terminal Bench 2.0 and 69% on TB Lite. The dense 27B model outperforms the sparse 397…

Researchers have developed MUSE-Autoskill, a framework that enables large language model agents to continuously improve their task-solving abilities by creating, reusing, and refining skills through a…