49 karma · joined February 15, 2026
Out of curiosity, I tried the same project yesterday with OpenAI's newest model, and it had 0 issues. It seems to have a much deeper understanding of how global styles and local styles work across different modules.
It's fun seeing how even a year ago these models seemed so capable to us, and yet they're still improving greatly. I'm still not using Anthropic. I used to change back and fourth periodically as the models would surpass each other, and get the most expensive plans, but I've settled and am happy with the capabilities of the lowest tier subscriptions now because they've progressed much faster than I've had use for them. Maybe I've gotten more efficient with language and instructing the model since a year ago. Still, it's been a fun ride and I'm excited to see what else we can do with these models as time goes on.
Is there any concrete information on whether this would be an application process or perhaps for companies that meet certain criteria?
This makes me even more conservative on upgrading these tools every time they prompt me to. Better to let them get a few miles on them and see how the community responds.
In this case it sounds like 0.142.0 reduced the issue but didn't fully settle it. I'll wait for 0.143.0+ and see if that version is more acceptable.
I moved away from Cursor when I noticed the responses from specific models were not as clean or accurate as when I'd prompt the models directly, which was something I didn't know how to do early on. I hypothesized that they had some boilerplate prompt sitting atop of my own, causing less precise or desirable results.
I would assume Cursor is still one of the best options for normal developers to get started with AI, but with Copilot forcing their foot in the door at many companies, I wasn't sure how well it would fare on its own. Being acquired by SpaceX should help, and I'll be interested to follow along and see how things develop.
PAX is the easiest ERP to pick up. Our core idea is that ERP should not take weeks of formal training and implementation. We have no formal training, no implementation fees, and are a complete ERP+CRM GAAP accounting system. It's intuitive, well-documented, AI-assisted (never steered), and people can pick it up and start using it well with no questions to our team.
The skill floor for attackers has collapsed, and I think regulation against Anthropic is appropriate here - as much as I am generally against regulation!
When the person who knows what's needed can handle the technical execution themselves, you no longer need that second person.
I certainly wouldn't say you need "more humans"
If you value high quality work and pride in what you do, outsourced workers (who most often don't pay careful attention to their work, hence the cost) are not the solution. However, if you're just trying to get something done and don't care about it getting done right, what better way to do it than spending the least amount of money possible
The mistake is not buying a home. The mistake is buying too much home, stretching the term too far, and ignoring maintenance.
A cheaper house, shorter loan term, and realistic repair/addition budget change the math a lot.
Own what you can actually afford to maintain.
It could be worth a quick $20 subscription just to grab your stuff, then cancelling. Trying to get support from either Claude or OpenAI seems pretty hopeless. Hopefully this post will get them to see you
I also do not think this makes people less capable of solving hard problems. The bar just moves up. More people can now work on harder problems with better tools.
If the goal is credit or proving real skill, then focus on harder problems, like ones AI can't reach
People waste too much time on this stuff. The next version could totally change how the model processes your agents.md.
Get good at promting, use agents.md as a minimal model annoyance fixer, and reset it often (every major release)