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Exactly my experience to, and I'm doing hiring at the moment. We used to filter out the worst with a hacker rank test, but now the idiots cheat with AI, and then we have to waste our time in an interview. It's difficult at the moment.

I don't see the value of a junior instructing an AI, because I as a senior can also instruct an AI.

I perceive the AI itself as a very fast junior that I pair program with. So you basically need the seniority to be able to work with a "junior ai".

The bar for human juniors is now way higher than it used to be.


>The bar for human juniors is now way higher than it used to be.

What do you think that is now? How does someone signal being 'past the bar'? If I hand wrote a toy gaussian splat renderer is that better than someone who used AI to implement a well optimized one with lots of features in vulkan?


'past the bar' means you have to be smarter than AI, simple as that. You need to be able to tell when it delivers good work, and when not. If you are not smarter than AI, you will not be able to tell the difference. And then what is your added value?

Perhaps in a year or so the AI will tell the human juniors what to do

> When fixing bugs, yes.

One thing I want to mention here is that you should try to write a test that not only prevents this bug, but also similar bugs.

In our own codebase we saw that regression on fixed bugs is very low. So writing a specific test for it, isn't the best way to spend your resources. Writing a broad test when possible, does.

Not sure how LLM's handle that case to come up with a proper test.


Here's a tip from an old timer: read the official docs.

I work a lot with juniors, and they all seem to prefer watching video's. But videos in my opinion are a slow way to gain superficial knowledge.

Do it the hard way and read the official docs, it will be your superpower. Go fast over the easy parts, go slow over the hard parts, it's that simple.


And in other news, the Trump appointed ambassador in Belgium, Bill White, is fine with adult men sucking the blood from a baby penis.

And if you think I'm kidding, no I'm not.

Some of those boys end up with herpes, but it's all fine in MAGA land.

Source, straight from the horses mouth: https://youtu.be/KolvU5m0CZI?si=KMnq_y8KfGuhXkDY&t=410


Didn't a bunch of kids in NYC get STIs cuz of this like a decade or two ago? A bunch of rabbis were biting baby dicks, oh sorry I mean performing a religious ceremony, and giving kids STIs.

That is likely indeed, because in the interview, she explicitly mentions that New York is also questioning that practice.

Ah yes, freedom of speech for the Europeans!

And when we travel to US, they need to check our social media to see if our opinions align with the US government.


The problem I mostly see with non programmers is that they don't really grasp the concept of a consistent system.

A lot of people want X, but they also want Y, while clearly X and Y cannot coexist in the same system.


I think it all depends on the use case and a luck factor.

Sometimes I instruct copilot/claude to do a development (stretching it's capabilities), and it does amazingly well. Mind you that this is front-end development, so probably one of the more ideal use-cases. Bugfixing also goes well a lot of times.

But other times, it really struggles, and in the end I have to write it by hand. This is for more complex or less popular things (In my case React-Three-Fiber with skeleton animations).

So I think experiences can vastly differ, and in my environment very dependent on the case.

One thing is clear: This AI revolution (deep learning) won't replace developers any time soon. And when the next revolution will take place, is anyones guess. I learned neural networks at university around 2000, and it was old technology then.

I view LLM's as "applied information", but not real reasoning.


You can't expect them to fix everything all at once. What about the hardware?

Let them focus on offering a payment system, and let others focus on their thing.


I really love this clip: https://www.youtube.com/shorts/W_UE7h3nTmQ

When the reporter asks: "Does it still include US having ownership of Greenland?"

Trump: "Um....eh...."

All this posturing and he ended up with nothing.


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