What Is Agent Orchestration? A Practical Guide
What is agent orchestration? Learn how AI agent orchestration coordinates multi-agent workflows with clear roles, handoffs, and specs.
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Guides on agent orchestration, working directories, and building portable agentic systems.
OpenCode vs Claude Code: A Side-by-Side Comparison
OpenCode vs Claude Code — compare directory structures, agent formats, and configuration to pick the right coding agent for your workflow.
Working Directories for AI Agents: A Practical Guide
Learn how to set up working directories for AI agents with real examples, directory layouts, and patterns that make agent workflows repeatable.
What Is CLAUDE.md and How to Write One
CLAUDE.md is the main instruction file for Claude Code. Learn what goes in it, see a practical template, and understand the 200-line rule.
AGENTS.md Guide: Configure OpenCode Like a Pro
Learn how to write an AGENTS.md file to configure OpenCode. Practical examples, format breakdown, and comparison with CLAUDE.md for Claude Code.
The Complete Guide to Claude Code Directory Structure
Learn how the .claude/ directory structure works in Claude Code. Explore agents, skills, rules, hooks, and configuration files.
What Is an Agent Harness? The Infrastructure Layer Behind Every AI Agent
An agent harness manages context, tools, permissions, and memory for AI agents. Learn what it is, why it matters more than the model, and how to avoid lock-in.
Agentic System Architecture: Patterns for Multi-Agent Workflows
How to architect an agentic system with defined agent roles, orchestration patterns, and shared state. Covers sequential, parallel, hub-and-spoke, and hierarchical delegation.
Agent Memory Ownership: Why File-Based Memory Beats API Lock-In
Your AI agent accumulates valuable project knowledge across sessions. Where that memory lives determines whether you own it or rent it. A guide to portable agent memory.
Claude Code settings.json: Every Option Explained
The complete guide to Claude Code settings.json. Learn how to configure permissions, hooks, environment variables, and model preferences.