OpenAI just dropped a new Codex, where do we go from here?
The new model Codex is out, and already it feels like a giant leap forward.
It's faster, more accurate, and starting to feel less autocomplete-y and more like an actual coding sidekick. But every time one of these bounds happens, I can't help but wonder what it means for how we actually build.
Are we heading toward a world where we still code, or mostly just make slight adjustments on what AI offers?
Seriously curious to know:
• Does this get you more stoked or more concerned?
• Will we be shipping faster, or just spending more time in review?
• Is it opening the door for more people to build, or making it harder to trust the process?
Would love to hear your thoughts, especially if you've already tried it out.
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Haimeta
As someone with no prior coding experience, I have been using Cursor for nearly six months but haven’t yet started exploring CodeX. AI coding can indeed help many people quickly realize simple ideas. For example, there was a time when I needed to scrape SEO content from competitor websites, but most web scraping tools on the market required payment. So, I decided to use Cursor to write my own tool for personal use. I’m still using this small tool today, along with other utilities like markdown syntax helpers.
As for CodeX, I’m very excited about it and plan to try it out when my Cursor subscription expires this month.
Moreover, as Cursor’s CEO mentioned, in the "post-code era," taste will become increasingly critical—it will push you to think about abstract logic rather than the specifics of implementation.
On the positive side, this allows developers more time to focus on the value of their products. On the downside, with coding becoming so accessible, it might lead to an influx of homogeneous applications.
Pokecut
Thanks for sharing your thoughts, Daniel! I’ve been testing the new Codex as well, and I’m genuinely impressed by how much more fluid and context-aware it feels compared to earlier versions. It definitely gets me more excited than concerned—having an AI coding partner that can handle more complex tasks means we can focus more on higher-level problem solving and design.
That said, I do think the review process might become even more important. AI-generated code can speed up initial drafts, but ensuring correctness, security, and maintainability will still require human expertise. So, hopefully, it lets us ship faster overall without cutting corners on quality.
As for accessibility, I believe this lowers the barrier to entry for many aspiring developers, enabling more people to bring their ideas to life. At the same time, fostering trust in AI-generated code will come down to how well these tools integrate with existing workflows and how transparent they are about their suggestions.
Looking forward to seeing how this evolves and how the community adapts!