Dev Tools · 2h ago
Why LLM agents need loops, not prompts
Most users still interact with LLMs via single prompts, but production agent systems like Claude Code and Cursor rely on loops that execute, observe, and correct. A loop enables multi-step tasks, error recovery, and iterative refinement without manual intervention. Building effective loops requires solving context window limits, feedback specificity, and termination conditions.
Meridian48 take
The article correctly identifies the shift from prompt engineering to agent loops, but glosses over the significant engineering complexity and reliability challenges that make this approach far from plug-and-play.
llm-agentsprompt-engineering