AI System Combines Simple Logic, Modular Design, and Flexible Search for Robust Performance
Summary
A new AI system, Claude Code, utilizes a simple control loop, modular design with smaller models, flexible search, structured prompts, and self-management for robust performance across diverse tasks.
Key Points
- Claude Code uses a simple control loop with a maximum of one branch and maintains a flat message history
- Claude Code extensively uses smaller models for various tasks, elaborate prompts with examples and heuristics, and structured XML tags and Markdown
- Claude Code employs LLM search instead of RAG-based search, provides both high-level and low-level tools, and allows the model to manage its own todo list