Recursive CLI LLM Orchestration
A comprehensive technical analysis of using CLI tools to spawn, monitor, and manage autonomous AI agents. Learn the architecture patterns, risk factors, and implementation strategies for building self-driving development loops.
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Executive Summary
High-level feasibility analysis for recursive CLI agent orchestration.
This analysis explores using a parent Claude CLI instance to autonomously spawn, monitor, and manage child instances. The goal is a self-driving development loop where the orchestrator manages state and sub-agents perform tactical work.
- Feasibility Rating: High - CLI tools permit shell execution via subprocess, enabling recursion
- Recommended Architecture: Dockerized - Container isolation prevents filesystem conflicts
- Token Efficiency: Low - Recursive context passing duplicates token usage exponentially
- Key Requirement: The --dangerously-skip-permissions flag is mandatory for automation
Without strict recursion limits (max depth = 2), infinite retry loops can drain $100+ of API credits in minutes.
When properly implemented, recursive orchestration enables complex multi-agent workflows with minimal human intervention.