AI coding assistants are becoming better every day. But most still work one prompt at a time. You ask something, get an answer, and then guide the next step manually.

The new /goal command in OpenAI Codex changes this workflow.

Instead of asking for isolated answers, you can give Codex a long-term objective with clear success conditions. Codex can investigate, write code, run tests, and continue working toward the result over multiple steps.

In this guide, you’ll learn:

What /goal does
How it works
How to enable it
Real examples
Best practices
Common mistakes

What Is the /goal Command in Codex?

The /goal command lets you define a persistent objective for Codex.

Instead of treating every message as a separate request, Codex keeps working toward the same result until:

The goal is completed
You pause it
You clear it
It gets blocked
Resource limits are reached

Think of it like giving an AI developer a task and letting it continue working without repeating instructions.

How the Goal Lifecycle Works

Goals usually follow a simple workflow.

Step 1: Define the objective

You tell Codex what should happen.

Example:

/goal Reduce dashboard page load time below 2 seconds

Step 2: Codex investigates and plans

Codex may:

Read files
Analyze code
Check dependencies
Search for issues
Plan next actions

Step 3: Execute and verify

Codex can:

Write code
Run tests
Refactor functions
Validate changes

Step 4: Complete or pause

Once conditions are met, the goal can be finished.

You can also pause and resume work later.

You can also pause and resume work later

Codex /goal example

When to Use /goal

Goals work best for tasks that require multiple steps.

Good use cases:

Performance optimization

/goal Reduce homepage loading time

Constraints:

Keep existing UI
Keep Lighthouse score above 90
Target loading under 2 seconds

Finding difficult bugs

/goal Investigate memory leaks in analytics.ts

Constraints:

Keep existing architecture
Add tests if needed
Clearly label uncertain findings

Writing test coverage

/goal Create unit tests for auth.ts

Constraints:

Reach at least 90% coverage
Do not modify business logic

Large refactoring work

/goal Refactor payment module

Constraints:

Preserve API behavior
Keep tests passing
Improve readability

When NOT to Use /goal

Goals are not the right tool for every task.

Avoid using /goal for:

One-line edits
Quick explanations
Small bug fixes
Short code reviews
Questions with one answer

Bad example:

/goal Make this code better

Why this is bad:

“Better” has no clear finish line.

Codex may continue making changes without knowing when to stop.

Better version:

/goal Refactor user-service.ts

Constraints:

Keep API unchanged
Improve readability
Keep tests passing

How to Enable /goal in Codex

Update Codex:

npm install -g @openai/codex@latest

Verify installation:

codex --version

Some Codex versions may require enabling goal-related features. In order to do that find the config.toml file and add this line:

[features]
goals = true

Goal Commands

Create a goal:

/goal Finish dashboard migration

Check current goal:

/goal

Pause:

/goal pause

Resume:

/goal resume

Clear:

/goal clear

Good vs Bad Goal Prompts

Bad

/goal Refactor this code and make it better

Problems:

No measurable result
No constraints
No finish line

Good

/goal Optimize database queries in db.ts

Constraints:

Keep schema unchanged
Cover all execution paths with tests
Target execution time below 50ms

Why it works:

Clear objective
Defined limits
Measurable result

Permission and Safety Tips

Codex may ask for confirmation before actions that can change files or execute commands.

Before running long autonomous tasks:

Keep Git clean

Create a new branch:

git checkout -b codex-experiment

Commit before running goals

git add .
git commit -m “Clean starting point”

Avoid sensitive environments

Do not run autonomous tasks:

On production systems
With exposed secrets
On important system folders

Best Practices

Define a clear finish line

Bad:

/goal Improve performance

Better:

/goal Reduce API response time below 150ms

Define constraints

Tell Codex what should not change.

Examples:

Keep API unchanged
Keep tests passing
Do not change database schema

Do not hide uncertainty

If data may be unavailable:

If metrics cannot be collected, label results as estimated.

Use measurable targets

Examples:

Response time under 100ms
95% test coverage
Lighthouse score above 90

Video Tutorial

Watch on YouTube: Codex /goal explained

Conclusion

The /goal command changes Codex from a prompt-response tool into a longer-running coding workflow.

Instead of repeating instructions every few minutes, you give Codex a clear objective, define constraints, and let evidence decide when work is complete.

Give it a shot and share your feedback in the comments under my YouTube video! ;)

Cheers, proflead! ;)

OpenAI Codex /goal: The Autonomous Coding Loop Explained