This phrasing can be misleading and points to a broader misunderstanding about the nature of doctoral studies, which it has been influenced by the marketing and hype discourse surrounding AI labs.
The assertion that there is a defined "PhD-level knowledge" is pretty useless. The primary purpose of a PhD is not simply to acquire a vast amount of pre-existing knowledge, but rather to learn how to conduct research.
Every time I read comments saying Claude Code is far better than Cursor, I fire it up, pay for a subscription, and run it on a large, complex TypeScript codebase. First, the whole process takes a hell of a lot of time. Second, the learning curve is steep: you have to work through the terminal and type commands.
And the outcome is exactly the same as with the Claude that’s built into Cursor—only slower, less clear, and the generated code is harder to review afterward. I don’t know… At this point my only impression is that all those influencers in the comments are either sponsored, or they’ve already shelled out their $200 and are now defending their choice. Or they simply haven’t used Cursor enough to figure out how to get the most out of it.
I still can’t see any real advantage to Claude Code, other than supposedly higher limits. I don’t get it. I’ve already paid for Claude Code, and I’m also paying for Cursor Pro, which is another $200, but I’m more productive with Cursor so far.
I’ve been programming for 18 years, write a ton of code every single day, and I can say Cursor gives me more. I switch between Gemini 2.5 Pro—when I need to handle tasks with a big, long context—and Claude 4.0 for routine stuff.
So no one has convinced me yet, and I haven’t seen any other benefit. Maybe later… I don’t know.
That does net out to meaning that Cursor gets used way more often, atm.
But does anyone else get embarrassed of their career choice when you read things like this?
I've loved software since I was a kid, but as I get older, and my friends' careers develop in private equity, medicine, law, {basically anything else}, I can tell a distinct difference between their field and mine. Like, there's no way a grown adult in another field evaluates another grown adult in the equivalent mechanism of what we see here. I know this as a fact.
I just saw a comment last week of a guy who proudly serves millions of webpages off a CSV-powered database, citing only reasons that were also covered by literally any other database.
It just doesn't feel like this is right.
This particular question is a bit ill formed and confusing I will say. But that might serve as a nice signal to the candidate that they should work elsewhere, so not all is lost.
I occasionally use ChatGPT (free version without logging in) and the amount of times it's really wrong is very high. Often times it takes a lot of prompting and feeding it information from third party sources for it to realize it has incorrect information and then it corrects itself.
All of these prompts would be using money on a paid plan right?
I also used Cursor (free trial on their paid plan) for a bit and I didn't find much of a difference. I would say whatever back-end it was using was possibly worse. The code it wrote was busted and over engineered.
I want to like AI and in some cases it helps gain insight on something but I feel like literally 90% of my time is it prodiving me information that straight up doesn't work and eventually it might work but to get there is a lot of time and effort.
This might also just be a feature of the change in problem size - perhaps the larger problems that necessitate o3 are also too open-ended and would require much more planning up front. But at that point it's actually more natural to just iterate with sonnet and stay in the driver's seat a bit. Plus sonnet runs 5x faster.
Can anyone name one single widely-used digital product that does _not_ have to be precisely correct/compatible/identical to The Original and that everyone _does_ pay $200/month for?
Therefore, should prices that users pay get anywhere even close to that number, there will naturally be opportunities for competitors to bring prices down to a reasonable level.
The funny part is that they still make money. It seems like once you’ve got the connections, being a VC is a very easy job these days.