Agentic Loops Explained: Architecture, Components, and Risk Management

Short summary

Agentic loops shift from step-by-step human guidance to autonomous systems that read state, act, and verify until stopping conditions are met. Essential components include worktrees, reusable skills, independent verification, and guardrails to manage orchestration overhead and token costs. Key risks: vague seed prompts, silent successes you don't understand, and runaway expenses without hard limits.

• •Agentic loops are autonomous decision-making systems, not just cron jobs
• •Critical components: worktrees, reusable skills, verification, disk memory, guardrails
• •Main challenges: orchestration tax (review bandwidth), vague seed prompts, cost control

Generated with AI, which can make mistakes.