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- đź”§ Meet Codex, the bot who builds
đź”§ Meet Codex, the bot who builds
OpenAI is going all in on AI coding
Hi AI Futurists,
OpenAI turns heads as it launches Codex, an autonomous coding agent within ChatGPT. Codex can write, run, and debug code, offering a new tool for automating software tasks. Let’s take a look.
Here’s our agenda.
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OpenAI announces Codex, the bot who builds
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đź”§ Meet Codex, the bot who builds
OpenAI has introduced Codex, an autonomous coding agent built directly into ChatGPT. Available to ChatGPT Plus and Team users, Codex doesn’t just generate code. It runs, debugs, and iterates on it. You can ask it to build apps, analyze datasets, or even tweak front-end designs, and it will attempt to complete the task in a loop until it’s done or gets stuck. This represents a leap toward "AI agents" that don’t just assist but actively execute and refine complex software projects. OpenAI’s launch announcement puts the spotlight on autonomous task execution as a central direction for AI development.
Where traditional copilots stop at code suggestion, Codex attempts to carry ideas to completion. Whether it's deploying a basic game, setting up a server, or querying databases. The agent thinks step by step, referencing its prior steps and outputs in a scratchpad-like interface. “It’s more than just autocomplete for code,” said OpenAI CTO Mira Murati. “It’s about building systems that can handle multi-step reasoning and software engineering workflows.” A key differentiator is its integration into ChatGPT’s memory and file tools, making it more contextual and capable than standalone coding assistants.
This update is a hint at where software development is heading. With AI agents increasingly able to act as junior engineers, the creative and strategic layers of engineering roles may become more critical than syntax and structure. The biggest shift might be time: developers will need less of it to ship, iterate, and test.
Takeaways at a glance
Available to ChatGPT Plus and Team users, not public API (yet)
Codex works iteratively: generating, running, debugging code based on goals
Can build apps, analyze data, and deploy scripts end-to-end
Uses memory, scratchpads, and file tools to maintain context
Early signs show it can function as a junior developer on simple projects, despite coming in below initial $18B target
Competing with OpenAI, Google, Anthropic in AI-enhanced search and commerce
What We Think About It:
This feels like the first serious step toward autonomous engineering agents that handle actual workflows, not just code suggestions. It's a productivity play but also a paradigm shift. Teams might soon be managing AIs like they do junior devs: assign tasks, monitor output, and course correct.
What You Can Do Right Now:
Ask Codex to build a simple tool for you – something like a to-do list app, calculator, or budget tracker. You can just describe what you want in plain English.
Upload a CSV or Excel file and have Codex analyze it. Ask for trends, graphs, or even business insights from your data.
Tweak a website idea – give Codex some copy and a color palette, and ask it to create a basic landing page. You’ll get real code, plus previews.
Experiment with automating a repetitive task, like cleaning up data, converting files, or even generating weekly reports. No code knowledge required.

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