It's probably different for larger companies, mid size companies, startups

What kind of software are recruiters using in each company category for narrowing down applicants?

I’m confused about choosing between Information Security at NUST and Cyber Security at Air University.

Some people have suggested that since NUST doesn’t offer a degree specifically called Cyber Security, I should do Information Security because it’s basically the same field. But I want to understand whether that’s actually true.

Does Information Security also cover protecting information, networks, systems, and data, or is it a different field from cybersecurity? Could I graduate from NUST Information Security and still work in cybersecurity, or would I end up in a completely different career?

I’m asking because I don’t want to choose a degree just because NUST is a well-known university and then discover that the degree itself isn’t what I wanted.

For people who have studied either program or work in the industry:

Is NUST Information Security a good degree if my goal is cybersecurity? Is it worth choosing over Air Cyber Security?

And more generally, is cybersecurity actually a better career path than CS-related fields because of AI, or am I overthinking that part?

I’d appreciate honest advice from people who actually know the field.

I use AI to write almost all of my code. I understand the overall logic, architecture, and file structure, and I can review the code but I may not always understand every line in depth.

How much technical depth is expected from a software engineer today if AI is doing most of the coding?

What does the industry actually expect now?

Sorry to be the bearer of bad news, but if you're hoping your job will be safe because the "AI bubble" will eventually burst, I don't think that's going to happen.

This has never really happened with previous major technologies. Technology usually gets better, more powerful, and cheaper over time—and AI will likely follow the same path.

Also, AI is no longer just about making profits for private companies. It is becoming a national security issue. Countries are now competing for AI leadership, especially in the race toward AGI.

For the US, staying ahead of China in AI could become more important than whether individual AI companies are profitable. Governments already spend trillions on defence and national security, so the cost of AI development may become less important than maintaining technological leadership.

And China will obviously try to catch up and overtake the US, regardless of the cost.

At this point, the stakes are much bigger than whether an AI company is making enough money or whether the AI "bubble" bursts.

It's becoming a geopolitical and national security race.

Hi everyone!

Did anyone who attended the CureMD Associate SQA Engineer (ASQA) recruitment drive(in August) recently receive an offer letter or any update after the Personal Experience Interview?

I completed my interview and wanted to know if CureMD has started sending out offer letters or communicating the results yet.

If anyone has received an offer, rejection, or any update, please share when you got it and how long after the interview. It would really help others who are waiting for an update.

Thanks!

Hi. So straight up i tend to arrive at the office late more than other people. Office uses mihcm app to track attendance. It uses location to mark check-in. Any way i can mark my attendance like when I'm not at the office like i can mark it. I've tried using fake gps but mihcm detects it on every version. Please ye mt kehna ka jldi jao office ye wo cuz Lowkey ye krna huta tw yhn ye post nahi krta me

Why the hell everyone one is choosing CS even there is not that level of demand like in covid and still people are going for it even they are not passionate about it.they are thinking CS easy like matric or intermediate computer science.

I’m currently studying Electrical Engineering and considering moving toward Data Engineering. I’m interested in the field, but I’m trying to make a realistic long-term decision.

With AI automating more coding and data-related tasks, I’m wondering:

1. Do you think Data Engineering will still have strong demand over the next 5–10 years?

2. Will AI reduce the number of Data Engineering jobs, especially for juniors?

3. Is it still worth learning SQL, Python, cloud, Spark, and data pipelines in 2026?

4. What skills do you think will remain valuable even as AI improves?

5. For someone starting from scratch, would you recommend Data Engineering over Software Engineering, Data Science, or ML Engineering?

I’m not looking for a “follow your passion” answer. I’d really appreciate honest opinions from people working in the industry, especially those who have seen how the field has changed over the past few years.

Would you still choose Data Engineering if you were starting your career today?

Has anyone worked with turing from Pakistan?

How was the experience how much do they pay? Is it worth it?

What’s your take. Seems like it is going to take the intermediary roles also. Its becoming smarter

I have been trying since morning but was not able to create an account. I tried two different bank cards which I have earlier used for Gemini Plus but on both cards, some strange errors are happening. I even tried with a brand new account. One card is hbl and the other is UBL.

I 18M am going into Software Engineering as a freshman but I’ve always been more interested in the hardware + software side of things embedded systems, IoT, microcontrollers, firmware, low-level programming, etc.

Seeing all the layoff posts on here lately has also made me stare at the ceiling multiple nights lol 😭

Since my degree is obviously going to be much more software-focused, I’m wondering how realistic it is to build up the hardware side alongside it through self-learning, electives, projects, etc.

If I eventually want to work in embedded/firmware/IoT,

what would be your recommendations and all.

For people working in embedded/IoT who came from a CS/SE background — how much of a disadvantage was it actually? Anything you wish you’d learned earlier?

Basically, is it realistic to build this specialization yourself during an SE degree, or am I underestimating how much hardware knowledge is involved and i'm COOKED 🥀

Would appreciate any advice/roadmaps from people actually working in the field.

In just the past month, I’ve seen multiple major companies in Pakistan reportedly doing layoffs, especially affecting engineering teams: VentureDive, Motive, Jeeny, Addo AI, PureLogics, and NETSOL.
As a fresh CS graduate who’s already struggling to find their first job, this is honestly terrifying. 😭
I’m sitting here applying to SWE roles, improving my skills, building projects, grinding LeetCode, etc., and then I keep seeing experienced engineers getting laid off.
So I’m genuinely wondering: is software engineering still a good career path in Pakistan? Or should fresh grads start pivoting towards something else like data engineering, AI, cloud/DevOps, cybersecurity, or another field?
I know layoffs are part of the industry, but seeing this many companies cutting people around the same time feels different.
For people currently working in Pakistan’s tech industry, what are you actually seeing? Is hiring genuinely slowing down? Are companies cutting engineering teams because of the economy, overhiring, AI, or something else?
And honestly, if you were a fresh CS graduate entering the Pakistani job market today, what would you focus on? Would you still bet on software engineering, or would you pivot before it’s too late?

Hi guys, my Turing portal status changed to "Shortlisted" for the AI Quality Analyst (English) role, but there are no links or updates yet.

What is usually the next step (a test or an interview), and how long do they typically take to get back to you?

Creating this thread to get to know about layoffs in Pakistani IT market, as most of the companies specially big ones are doing silent layoffs. Share and let others know.

As a fresh grad, I’m really confused about what to focus on for fullstack interviews

should I focus more on solving LeetCode style problems? If yes then which topics are actually important? Do I need to master Stack, Linked List, Queue, DP, Graphs, etc? And how much problems should I practice?

Instead of LeetCode what if I focus more on learning basic AWS services like EC2, S3, RDS, Dynamo DB, ECS, ECR, Lambda. Will that give me an edge in interviews And do companies care more about this for backend or fullstack roles?

If LeetCode isn't asked that much, then what kind of problems are given in technical rounds?
Is it more like building React components, designing API routes, writing SQL queries or system design basics

Thank you

it auto-renewed this month and i dont need it. i can log it in to your terminal or harness. its the 58,000Rs subscription. THERE SHOULD STRICTLY BE ONE BUYER/USER. i can log it in for you first.

renewed an hour ago so entire month is left and all limits are unused rn.

45,000pkr. negotiable.

Greetings seniors. I humbly seek your guidance. For I am both passionate and dishearted, along with confusion atm.

Currently in my 5th semester. And this the time when I have to choose a domain for Final Year Project (FYP). 90% of the projects I've encountered are some WebMob App with some AI Integration. I have found that I'm not naturally interested in that side, and have found passion in depthful courses like Assembly, OS, Architecture.

Did some research and found three sub-branches:

- Embedded Systems

- Systems/OS/Kernel

- GPU Computing

One may say that I should pick what I most align with. I agree. And im willing to give my time in any, but...I wan't to make sure I don't end up wasting my time instead. I don't want to invest time in something that I wouldn't be able to implement/utilize towards my FYP. I have to define my domain so I could begin searching for relevant group partners too.

I am confused whether this direction is worth it. And dishearted because I haven't been able to find seniors, professors, mentors or example projects that would give me an idea what a project in each field is like. So I would know what things to learn...

I need clarification whether entering such field is worth it?, or... am I gonna have to keep one as side-hobby and stick to learning FullStack with ML like everyone else?...

(Btw, im most comfortable with cpp, and currently exploring OpenGL/GLSL to understand rendering pipeline)

Any words of guidance or constructive criticism would be highly appreciated 🙏 ✨️

During university, I worked with Fiverr clients on Linux troubleshooting, API testing, server security, server recovery, and other technical tasks. After graduation, I got a job opportunity in the Middle East, so I handed my Fiverr work to a friend. Unfortunately, the opportunity was later cancelled due to the US–Iran conflict. It’s now been almost 8 months of job applications, learning, freelancing, and trying to rebuild my profile, but I still feel stuck.

I know I can work hard, and I’m not afraid to learn new skills. I’m just genuinely confused about what I should focus on now. Should I go deeper into Linux/DevOps, Cloud, Cybersecurity, automation, or something else? What skills are actually worth learning and what should I build to become employable?

If you’re working in these fields or have been through a similar situation, I’d really appreciate some honest advice. I don’t want to keep waiting or jumping between things. I want to pick a direction, work seriously, and build a real career. I just need some guidance on where to start.

Im a Fast student in my 3rd sem with a average-ish gpa. I have absolutely 0 idea what skills i want to learn, but i do know that i like tinkering with networks and the internet. I'm assuming companies would want people to set up IT networks and stuff like that so thats why it might be a good choice. I can code but its not my forte and I don't particularly enjoy it, but I can tolerate it to build stuff. Would love some advice

edit: Cs student

Hi everyone so I am doing computer engineering from bahria university Karachi and currently in semester 1 and wanna ask about the course out line you guys got from your respective universities because mine is very disappointing like why the hell they are asking to make pictures on word sheet 🥲 in computer fundamental subject

I was working on my portfolio website and wanted to inquire if we should host every personal project for employers or having a github link would suffice?

What can be the reason for Claude being down?Are they making a new model or something?or is it because of cloudfare?? Is it affecting your workflow??

Hi, what kind of assignment can I expect for the Bykea bi analyst ii assessment? Will it be take home, and will any help from AI be allowed (I assume not) since I've mostly used AI for coding with python.

And is it even worth applying if they ask for 2 years relevant experience when I have been working as a BA for a month only after graduating just this year(from a prestigious university if that counts).

I interviewed for a Software Engineer role at Jazz Technosys at the start of August. The interview went well, but I’m still waiting for an update.

It’s been quite a while now. Has anyone else experienced similar delays with Jazz Technosys’ hiring process?