DEVOURED
Getting started with loops
Coding agents are evolving from single-shot prompts to autonomous loops that cycle through work until a clear exit condition is satisfied.
What: The transition to 'loop-based' agent design focuses on defining stop conditions, choosing specific primitives for repetitive tasks, and managing context window tokens over extended iterations.
Why it matters: Developers are shifting from treating LLMs as simple command-line tools to building robust, self-correcting agents that maintain state over complex refactoring or investigative tasks.
Original article
Loops are agents that repeat cycles of work until a stop condition is met. They can be categorized based on how they are triggered, how they are stopped, what Claude Code primitive is used, and what type of task is appropriate for each. This post covers the main loop types, when to use each, and how to maintain code quality while managing token usage.
Explore all 42 articles in today's digest
Fresh dev news, AI-digested daily. Never miss a trend at devoured.fyi