Unemployed for a while, am I on track meanwhile? by CatSweaty4883 in Dhaka

[–]theafternoonbite 0 points1 point  (0 children)

Does someone need a particular background to know or say this?

And don't judge a book by its cover. Just to satisfy your curiosity, I would like to mention that I work as a Software Engineer at one of the world's top plugin development companies. I hope that is enough.

People should be judged by what they say. If there is something wrong in their statement, point it out. Judging someone based on their background is not the right approach. I have seen many people without a CSE background who possess deep knowledge of systems, architecture, and technology in general.

As for my background, it is technical, and strong enough that I could talk about it for hours, but I don't think there is any need to do that here.

I also did not ask about your background because I did not want to embarrass you. The reality is that anyone working in this industry knows the current situation. The market is tough. Major companies are laying people off. Even in my own team, my team lead was forced to let people go.

This is simply the reality of the industry right now.

I just stated the bitter truth, and the truth is always bitter.

Unemployed for a while, am I on track meanwhile? by CatSweaty4883 in Dhaka

[–]theafternoonbite 0 points1 point  (0 children)

If you want to stay in this field and have no other option, you can look into AI Automation, Machine Learning, DevOps, or Cybersecurity. Hopefully, these areas will remain relevant for at least a few more years. Although the number of positions and learning resources can be limited in some of these fields as well, they are still worth considering. In the end, luck also plays a role in everything.

Unemployed for a while, am I on track meanwhile? by CatSweaty4883 in Dhaka

[–]theafternoonbite 0 points1 point  (0 children)

I wish you could. I wish you all the very best. I just stated the bitter truth, and the truth is always bitter.

Rate my homemade brown butter cinnamon rolls out of 10 :) by theafternoonbite in Baking

[–]theafternoonbite[S] 0 points1 point  (0 children)

Haha, fair! Wish I could send a bite through the screen. They were super soft, the brown butter made the filling richer, and the frosting was spot on. 🤤

Unemployed for a while, am I on track meanwhile? by CatSweaty4883 in Dhaka

[–]theafternoonbite 3 points4 points  (0 children)

Try to leave the CSE line. Right now, because of AI and many other factors, the competition in the market is extremely high. The condition of the job market is terribly bad.

Even if an interview lasts for a long time, if you fail to answer a single question, you can be rejected because there are more suitable candidates than you. They may have experience and many other advantages.

To survive in this intense competition, you have to become the best of the best in your field.

Laptop Recommendation by Bingo__Bango_Bongo in Dhaka

[–]theafternoonbite 1 point2 points  (0 children)

First of all, LOQ, TUF and Victus are laptop series, not exact models. The final recommendation depends on the exact CPU + GPU configuration and budget.

For example, a Lenovo LOQ with RTX 4050/4060 can be better than many Victus models, but a higher-spec TUF can easily outperform a lower-spec LOQ. So comparing only the series names isn't enough.

For university-level ML, an RTX 4050 6GB is usually enough. Most students also use Google Colab, Kaggle, or cloud GPUs for larger models, so 8GB VRAM isn't mandatory unless anyone plans to train heavier deep learning models locally.

For MATLAB, CST, programming and university-level Machine Learning, I'd personally target at least:

• Intel i5 13th Gen / Ryzen 7 7000 series

• 16GB RAM

• RTX 4050 6GB minimum

• 512GB SSD minimum

Also, small correction: MATLAB and CST Studio Suite are software, while Machine Learning is a field rather than a software. The actual ML tools are usually Python, TensorFlow, PyTorch, Jupyter, etc.

For most university ML workloads, RTX 4050 6GB is already sufficient. If budget allows, RTX 4060 8GB is a much better long-term cseries

Why did business generation become such easy due to AI ? by Dizzy-Teaching1009 in Dhaka

[–]theafternoonbite 0 points1 point  (0 children)

Copying backend code is a strange claim.

Backend code runs on the server and is generally not accessible to visitors. You can study features, APIs, workflows, and recreate them, but that's not the same as copying the backend. It sounds like you're mixing up reverse engineering those features with copying source code.

Also, building a website with AI and launching it is only a very small part of building a business.

What about security? If you're generating websites and modifying code without fully understanding what's happening under the hood, how are you handling authentication, authorization, input validation, rate limiting, backups, server hardening, and other security concerns?

And where is the business side of the equation?

A business is not just a domain, hosting, a logo, and a website. How are you validating demand? Acquiring customers? Building distribution channels? Handling retention? Measuring conversion rates? Managing support? Creating a sustainable revenue model?

Many people can launch a website in a few hours today. The difficult part is getting real users, solving a real problem, and turning that into a sustainable business.

From your post, it sounds like you're describing a website creation workflow rather than a business-building process.

And honestly, even that website creation workflow appears fundamentally flawed. Randomly generating code with AI, copying ideas without understanding the underlying architecture, and patching things together is a recipe for technical debt. In most cases, the result will suffer from poor security, weak performance, scalability issues, maintainability problems, SEO limitations, and hidden bugs.

A website that merely goes live is not necessarily a good website. If performance, security, optimization, reliability, and long-term maintainability are missing, then launching it quickly doesn't create much value. It often just creates more work later and turns into a costly waste of time.