Technology

Agentic loop

An agentic loop is an iterative execution cycle where an AI agent independently perceives, reasons, acts, and self-corrects until it achieves a specific, verifiable goal.

Think of the agentic loop as the engine that upgrades a standard AI chatbot into a fully autonomous worker. Instead of stopping after a single prompt, the system operates in a continuous, self-directed loop: it analyzes a task, selects the right tools (like GitHub or Greptile), executes an action, evaluates the output against a target metric, and refines its next step. This design shines in highly structured, binary environments (such as automated code reviews or SEO generation) where the agent can run independently until it hits a defined stopping condition (like a 5/5 quality score or a strict token budget limit).