agent-ready-go

Preparing a Go application for AI coding agents involves enforcing machine-readable outputs, structured logging, and non-interactive CLI design. This includes configuring JSON logging, health endpoints, graceful shutdown, and a standardized Makefile scaffold.

Agent-ready Go development ensures applications interact seamlessly with AI coding agents. It solves the problem of unstructured outputs by enforcing machine-readable JSON logging, non-interactive CLI patterns, and exit-code based error handling for automated workflows.

Configure structured logging in Go for AI agents by using tools like slog, Zap, ZeroLog, or Logrus to output JSON. This machine-readable format allows automated agents to parse logs effectively during development and execution.

Yes, the agent-ready Go workflow supports both greenfield Go projects and retrofits. It applies standardized tooling, lint configuration, and Makefile scaffolding to ensure existing and new applications meet agent-readiness requirements.

Standardize CLI patterns for Go AI agents by implementing non-interactive designs with --yes flags and environment-variable overrides. This ensures automated agents can execute commands without waiting for human input.

A standardized Makefile scaffold provides a canonical entry point for AI agents to build, test, and lint Go applications. It automates project scaffolding and ensures consistent execution of environment-driven configuration and health checks.