Express ideas with code, expand imagination with AI.
This lesson distills five design principles, five over‑engineering signals, a decision‑matrix, and a ten‑point checklist for building effective Harness agents, illustrating each with concrete examples, trade‑offs, and practical guidance on when to use or avoid specific components.
This tutorial explains the Model Context Protocol (MCP) introduced by Anthropic, showing how its three‑layer Host/Client/Server architecture and six primitives turn Harness into a standardized, USB‑like interface for connecting any data source or tool to large language models, with concrete examples, transport choices, and step‑by‑step implementation guidance.
This article explains how Harness Skills let you package repeatable instructions into reusable directories, distinguishes Reference and Action Skills, shows dynamic shell‑command injection, details front‑matter controls, and provides concrete PR‑summary and pre‑commit examples for Claude agents.
This lesson explains how Harness uses Subagents—isolated execution units created via the Task tool—to offload heavy, multi‑step operations into separate context windows, custom prompts, and limited toolsets, and how to configure built‑in and custom Subagents with the Claude Code SDK.
