I'm celebrating my anniversary with django. Its's been 3 years and 10 months.
So i decided to build a django package to commemorate 4 years with django.
The package I'm building is called Django-voidauth and it is asymmetric authentication system for Django. V1 is live on PyPi.
@bubbleboi I doubt you that you're a student of computer science yourself because if you are you wouldn't say this. This is absolutely wrong. Here's what you missed, Do you think computer science is just all about coding? you're pretty far from it. Your view is completely biased
@KharayKrayKray Noo I'm not. I find it funny when web developers begin to call themselves software engineers. I'd be like DAMN! do you know what you're talking about? Software Engineering is different from Web Development
I never ever installed any "AI agents" in my personal computer. Instead, I use a cloud VM and run AI agents, mainly Codex/ChatGPT, from there.
Because I know what are exposed to the world when I run an AI agent. I know that fucking clearly because my job is developing AI agents.
Do not sell out your privacy.
Stop running agents on your personal computer.
Thank me later.
@gnukeith this further proves the point you made about vibe coding. Regardless of what you can build the learning curve still remains and is still a core requirement for mastery.
China published the most uncomfortable paper on vibe coding.
ETH Zurich tested 100 developers in a controlled, commercial-grade vibe coding environment to see who actually succeeds.
The findings are brutal.
The researchers tracked computer science achievement, written communication skills, and general cognitive reasoning.
They wanted to see what actually predicts vibe coding proficiency when you never touch a line of source code yourself.
Two major predictors emerged.
Written communication proficiency mattered. The ability to structure thoughts and articulate intent unambiguously in text directly impacts what the AI builds.
But that wasn't even the main takeaway.
Computer science achievement was a massive, dominant predictor of success.
Even when researchers controlled for general intelligence and reasoning skills, CS background still heavily dictated who built working software and who completely crashed.
In fact, CS knowledge contributed roughly twice the unique predictive variance of writing skills alone.
Why? Because vibe coding isn't about writing code. It’s about debugging logic.
When an AI agent builds a complex application and quietly breaks an edge case under the hood, a non-technical user looks at the glowing UI and assumes it works.
They don't know what questions to ask. They don't know what logic to challenge. They lack the mental models to recognize architectural catastrophe.
You can prompt your way past syntax.
You cannot prompt your way past a fundamental lack of engineering intuition.
The hype told us that learning to code is dead because language is all you need.
The data just proved the opposite.
To truly master the vibe, you still need to understand how the machine thinks.
This is so beautiful. I'd have to be brain dead to oppose technology that's liberating.. Tesla has been doing so great and we're all on the lookout for more.
This is the first time in Earth’s history that the path is visible: cure cancer, slash traffic deaths, give anyone high agency no matter their body — and reach the stars — by scaling compute and energy.
Don’t squander it.