Delv
OpenAI Codex
Getting Started Guide

How to Use OpenAI Codex

A practical guide to get you up and running with OpenAI Codex. Written by Delv Editorial, Delv Team.

Getting started with OpenAI Codex

After reading this guide, you'll be able to set up OpenAI Codex and start using it for coding tasks, whether in the cloud or locally via the Rust CLI.

Step 1: Sign up and set up

  1. Go to OpenAI Codex.
  2. Click on the Sign Up button in the top right corner.
  3. Fill in your details or sign up using your Google or Microsoft account.
  4. Once registered, navigate to the dashboard where you can access the cloud-based application.
  5. For the Rust CLI, follow the installation instructions provided in the documentation section to set it up on your local machine.

Step 2: Your first coding task

  1. In the cloud app, click on New Project to create a new coding project.
  2. Choose a programming language (e.g., Python, JavaScript) from the dropdown menu.
  3. Enter a brief description of the task you want Codex to assist with in the Task Input box.
  4. Click on the Generate Code button. Codex will produce code snippets based on your description.
  5. Review the generated code and make any necessary adjustments directly in the editor.
  6. Click on Run to execute the code and see the output.

Step 3: Get better results

  1. Use clear and specific prompts when describing your coding tasks. For example, instead of saying "create a function," specify "create a function that sorts a list of numbers."
  2. Experiment with different programming languages and libraries to see which yield the best results for your needs.
  3. Take advantage of the Collaborate feature to invite team members to your project by clicking the Invite button and entering their email addresses.

Pro tip

Use the Code Review feature by clicking on the Review button after generating code. This will provide you with suggestions for improvements and best practices, saving you time on debugging later.

Common mistake to avoid

Many users forget to provide enough context in their task descriptions, leading to less accurate code generation. Always include specific requirements and examples to help Codex understand what you need.