Home / Cheat Sheet / AI Agent System Design

AI Agent System Design — cheat sheet

Designing autonomous language-model agents: tools, memory, multi-agent, guardrails, and evaluation. Each card is the short version of its full lesson.

The Agent Design Interview Playbook

LLM Internals for Agent Builders

Agent Foundations

Agent Design Patterns

Building an Evaluator-Optimizer Loop

Tools and MCP

Memory and Context Management

RAG for Agents

Multi-Agent Systems

Reliability and Guardrails

Agent Evaluation

Production and Cost

Scenario Debugging

Rapid-Fire Q&A

Code Lab

Thinking Models and the Token Budget

Python Concurrency and Async for Interviews

LLM Inference Performance

Computer-Use Agent

How Claude Code Works

Form-Filling Agent

How Cursor Works

How Antigravity Works

Multi-Agent Research System

Harness and Loop Engineering

Autonomous Agent

Customer Support Agent

SQL / Analytics Agent

Document Processing Agent