Agent Loops Trend 2026

Agent loops refer to a feedback mechanism where an AI repeatedly refines its output based on prior results, often using self-evaluation or user input. This iterative process improves accuracy in tasks like content generation or code debugging. Developers, data scientists, and automation engineers benefit most, as it enhances model performance without manual retuning, saving time and resources.