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I went hands-on with ChatGPT Codex and the vibe was not good - here's what happened

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ZDNET's key takeaways

ChatGPT Codex wrote code and saved me time.

It also created a serious bug, but it was able to recover.

Codex is still based on the GPT-4 LLM architecture.

Well, vibe coding this is not. I found the experience to be slow, cumbersome, stressful, and incomplete. But it all worked out in the end.

ChatGPT Codex is ChatGPT's agentic tool dedicated to code writing and modification. It can access your GitHub repository, make changes, and issue pull requests. You can then review the results and decide whether or not to incorporate them.

Also: How to move your codebase into GitHub for analysis by ChatGPT Deep Research - and why you should

My primary development project is a PHP and JavaScript-based WordPress plugin for site security. There's a main plugin available for free, and some add-on plugins that enhance the capabilities of the core plugin. My private development repo contains all of this, as well as some maintenance plugins I rely on for user support.

This repo contains 431 files. This is the first time I've attempted to get an AI to work across my entire ecosystem of plugins in a private repository. I previously used Jules to add a feature to the core plugin, but because it only had access to the core plugin's open source repository, it couldn't take into account the entire ecosystem of products.

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