How to Build an AI Agent Harness From Scratch in Your Code Repository

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A developer tutorial on DEV Community walks through building an AI agent harness — a structured set of files, rules, and conventions stored directly in a code repository. The harness gives an AI agent everything it needs to operate autonomously, including how to start, what constraints to follow, how to verify task completion, and how to hand off work to the next session. The guide uses a simple command-line ledger project as a sandbox, constructing key files such as CLAUDE.md for agent instructions and ARCHITECTURE.md for system design details. A startup script is also added to handle dependency installation and verification in a single step, forming the foundation of the agent's operating loop. The core principle is that keeping task criteria inside the repository — rather than in ephemeral chat messages — ensures consistent decision-making across agents and developers alike.

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