FeralUI - a collection of playful, physics-driven React components like drop , swing, grap

Simple mental model on program, container , VM

github repo program(source code) - depends on the both host user space(runtime/dependency) and kernel .
docker container - depends only on the host kernel ; its user space progrmas are packed inside the container
Virtual machine - it wont depend on both host kernel and user space programs . has its own kernl and user space prorams .

isolation increases : normal github repo program -> container -> VM

It is a fact that those AI tools are automating much of the manual coding work that once required years of hands-on experience like mastering syntax, debugging, and writing boilerplate code. This gives devs more time to focus on deeper understanding, problem-solving, and designing

E.g: a simple HTML/CSS dashboard that once could be a paid freelancing job can now be generated by AI in minutes. and they aren't not a job anymore.

So now my question is: Why aren't university lecturers, who already have a deep understanding of computer science and how computers actually work, quickly learning these AI tools, building useful products with AI agents, and creating new sources of income?

If AI reduces the value of manual coding, shouldn't people with strong fundamentals be among those best positioned to take advantage of this shift?

Will be revealed after a few hours....

Ox Alpha = GLM-5.3-Flash from Z.ai.

The free stealth model that dominated usage this week is now officially out. It was GLM-5.3-Flash from China's Z.ai

Official blog: https://z.ai/blog/glm-5.3-flash

Omarchy is full of security holes (🔥 Score: 160+ in 42 minutes)

Link: https://readhacker.news/s/73zLk
Comments: https://readhacker.news/c/73zLk

Calling out @dawitlab for an MMA fight 🥊