{"id":245163,"date":"2025-05-17T12:00:47","date_gmt":"2025-05-17T12:00:47","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/how-to-access-and-use-openai-codex\/"},"modified":"2025-05-17T12:00:47","modified_gmt":"2025-05-17T12:00:47","slug":"how-to-access-and-use-openai-codex","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=245163","title":{"rendered":"How to Access and Use OpenAI Codex?"},"content":{"rendered":"


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\u201cSoftware engineering is changing, and by the end of\u00a02025 it\u2019s going to look fundamentally different.<\/em>\u201d Greg\u00a0Brockman\u2019s opening line at OpenAI\u2019s launch event set the tone for what followed. OpenAI released Codex, a cloud\u2011native software agent designed to work alongside developers.<\/p>\n

Codex is not a single product but a family of agents powered by codex\u20111, OpenAI\u2019s latest coding model. Codex\u00a0CLI, arrived a few weeks ago as a lightweight companion that runs inside your terminal. Today the spotlight shifts to its bigger, remote<\/em> agent that is avialble entirely on ChatGPT<\/a>. You can spin up thousands of parallel \u201cmini\u2011computers\u201d and tackle multiple tasks while you\u2019re off grabbing coffee. This article is going to be an overview of Codex on ChatGPT, and we will soon be releasing some project based articles on the topic.<\/p>\n

From Autocomplete to Autonomous\u00a0Vibe\u00a0Coding<\/h2>\n

OpenAI\u2019s journey toward agent-like coding began in 2021 with the original Codex model, which powered GitHub Copilot. At the time, it worked like a smart autocomplete, helping you finish lines of code. Since then, with years of progress in reinforcement learning<\/a>, Codex has become more capable.<\/p>\n

Today, in the times of vibe coding<\/a>, you simply describe what you want in plain language, and Codex figures out how to build it. The latest model, Codex\u20111, is built on OpenAI\u2019s o3<\/a> architecture and fine-tuned on real pull requests. It\u2019s trained to generate code, follow best practices like linting, testing, and consistent style, making it helpful for real-world development.<\/p>\n

Also Read: A Guide to Master the Art of Vibe Coding<\/a><\/p>\n

How to Access Codex in the ChatGPT Interface?<\/h2>\n
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  • Open ChatGPT and go to \u201cCodex\u201d sidebar in the left navigation rail you\u2019ll see a new \u201cCodex (beta)\u201d<\/strong> icon. Click it to reveal the agent dashboard.<\/li>\n<\/ul>\n
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    \"Open<\/figure>\n<\/div>\n
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    • Connect GitHub (first\u2011time only)<\/strong>: A single OAuth click authorises Codex to read\/write on your repos. You can restrict it to specific organisations or personal projects.<\/li>\n<\/ul>\n
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      \"Connect<\/figure>\n<\/div>\n
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      • Select a repository & branch<\/strong>: Pick the project you\u2019d like Codex to work on (e.g., main<\/code> or feature\/ui\u2011overhaul<\/code>). The agent clones this branch into its own sandbox.<\/li>\n
      • Configure the environment (optional)<\/strong>: Add environment variables, secrets, or setup commands, just like a CI job. Linters and formatters are pre\u2011installed, but you can override versions.<\/li>\n<\/ul>\n
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        • Choose a task template<\/strong>:\n
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          • Ask<\/strong>: \u201cExplain the architecture.\u201d<\/li>\n
          • Code<\/strong>: \u201cFind and fix the flakey test in test_api.py.\u201d<\/li>\n
          • Suggest<\/strong>: Let Codex scan the repo and propose maintenance chores.<\/li>\n
          • Or just type a custom instruction in natural language.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
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            • Run & multitask<\/strong>: Press \u201cLaunch\u201d<\/strong>. Each job spins up its own micro\u2011VM; you can queue dozens in parallel and continue chatting elsewhere in ChatGPT.<\/li>\n
            • Review results<\/strong>: Green check\u2011marks indicate passing tests. Click a task card to see the diff, the model\u2019s explanation, and the full work\u2011log.<\/li>\n
            • Merge or iterate<\/strong>: Hit \u201cOpen PR\u201d<\/strong> to push the branch back to GitHub or reply to the task with follow\u2011up instructions if changes are needed.<\/li>\n<\/ul>\n

              OpenAI Codex Demo<\/h2>\n

              In this section, I am sharing the different examples demostrating how this new software development agent can sort your life! <\/p>\n

              Example 1: Accelerate Development<\/h3>\n

              OpenAI engineer Nacho Soto demonstrates how Codex helps him begin new tasks faster by setting up project scaffolding, such as Swift packages. Using prompts, he could offload setup work and focus on building features, while Codex handles the rest in the background.<\/p>\n

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