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The ultimate guide to /goal
The `/goal` feature, which defines a "done state" for coding agents to work towards, has been integrated into OpenAI's Codex CLI and Claude Code.
What: The `/goal` primitive, now in OpenAI's Codex CLI and Claude Code, allows users to define a specific "done state" for coding agents. Agents then work towards this defined state until the task is complete, functioning as a job with a clear objective.
Why it matters: This signals a critical development in AI agent capabilities, moving from simple command execution to goal-oriented task completion, enhancing their utility for developers by providing a more structured and autonomous approach to coding tasks.
Takeaway: If you use OpenAI's Codex CLI or Claude Code, experiment with the `/goal` feature to define clear objectives for your coding agents.
Decoder
- Primitive (in programming): A fundamental, basic building block or operation that cannot be broken down into simpler parts within a given system.
- Coding agents: AI systems designed to assist or autonomously perform programming tasks, such as writing code, debugging, or refactoring.
- OpenAI's Codex CLI: A command-line interface tool that provides access to OpenAI's Codex model, which can translate natural language into code.
- Claude Code: A coding-focused version or feature of Anthropic's Claude AI model.
Original article
/goal is becoming a primitive for coding agents. The feature gives coding workers jobs with a defined done state. With /goal, users write down what 'done' looks like, and agents work towards it until it gets there. The feature appeared in OpenAI's Codex CLI a few weeks ago, and Claude Code just added it this week.
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