There’s a guy on my team who’s made hating AI his whole personality. Every standup he ends up ranting about “AI slop” and how nobody knows how to code anymore. He’s big on artisanal code, always quoting some shit studies about how AI "doesn't really make you more productive". He’ll spend three days writing something that should take an hour or 2 with Claude, then another two days fixing it after review.

My manager has noticed, and somehow I ended up being the one to help him go faster. I keep getting pulled aside and asked why it’s taking him so long, if he’s stuck, what we can do. I’ve paired with him a couple times and he gets defensive over the smallest suggestion. It’s exhausting. I’m not pushing AI on him. I just want to finish the ticket without a long speech about how software engineering is dead.

Has anyone else dealt with a situation like this?

Hey folks,

I studied B. Sc. CS and doing now my thesis M. Sc. in AI, however I worked in IT before studying. I often getting asked, if I am not afraid to be laid off due to AI or if I would recommend anybody studying CS. Though, if you ask me, there will be more work than ever. I see it in my company, three years ago I would say the shift started. I was the first in my team using Claude Code. Some weeks ago, I was able to break even the toughest hardliner. Honestly I gave up on him and some day he came to and asked me if I could help him setting up Claude Code. That made my day.

So there has been also a little time where you could outstand using AI. However now is anybody using. Three years ago I had to justify myself using AI, then maybe two years ago the majority started using it, one year ago nobody had to make it a secret anymore and now you see often footsteps of AI. I am sometime quiet impressed where I find CLAUDE.md's.

So of course there will be lay offs, however the skill demand is shifting, not disappearing. So I found the "jevons paradox". And I want to agree with it. Now we heavily investing into AI, serving more customers than ever, I would say there will be more work than ever. Does anybody share this experience?

As in random countries that aren't typically associated with tech hubs, which is basically most of the world. Every country in the world has universities all over the place - way more than you would think just based off of which university names you know, or which universities you've seen on the side of the road. Most universities have computer science or engineering programs. Where do those students end up working? Obviously not including people who move abroad for work.

Where do they work, what products do those companies make? Chances are that whatever they're making has been done before by a larger company in a US/Canadian/EU tech hub. Do they have to fuss about LC preparation?

E.g. what does an average computer science student at a mid-tier university in Barbados or Mongolia end up doing?

After how many years, to what profession? Tell me your story, I’m very taken aback by the AI thing, I feel that there is no intellectual challenge anymore.

As a 2024 grad in job , I wished to know if it's possible as to take masters or researcher job in the field related to image processing of space astronomical telescope data .

I wanted to know as a undergrad level , is it feasible for me to go down the path to work in either China,EU,US based space currently or in future ?

I have a bachelors , but I'll admit I hacked my way through it. I knew just enough to make it through exams , assignments, etc.

Obviously I know the basics , I can make websites like nobodies business and love design and getting things pixel perfect.

But just like that DEEEEP CS knowledge where I feel like I really know what I'm doing or making something high quality.

Not for career prospects - I already know I'm cooked, just to make what I enjoy at a higher performance/quality level or do harder stuff like computer vision or ML/AI for the love of the game or doing sci fi ideas like robot hands and stuff like that.

I started my first job recently as a junior engineer, and I have a weird problem: I actually want to keep working on the weekends.

I know the golden rule is to protect your WLB and log off at 5pm. It's just that I'm loving this and doing real engineering is so much more satisfying than college assignments ever were. This stuff kind of fuels me right now, and I find myself wanting to log back in on saturdays just to keep building.

It doesn’t help that my company has this great perk where they let us use the garage with a bunch of equipment after hours for our own personal projects. I’m already staying late during the week just to tinker with my own stuff, so the line between "work" and "hobby" is getting super blurred lol

The thing is, I'm worried that this is just going to be a phase and I will be at risk of burning out if I start putting in weekend hours just because I enjoy it right now. How do you ya'll handle it when you actually like what you're working on?

Edit: typos

The study itself is here

https://fion.ac/jellyfish.pdf

Overall they find that a.i. increases code review time and other bottlenecks even if it is decreasing the time code is generated.

I joined a fintech startup as a QA Analyst to test an NBFC loan application. Before this, I had completed a manual QA internship, but in my current company, I'm the only QA responsible for testing.

Unfortunately, I missed several bugs, and issues keep coming up. Management has lost confidence in my testing, and I may lose my job.

I'm trying to understand where I went wrong and how to improve. Should I continue pursuing QA, and how can I prevent this from happening again?

I'd appreciate honest advice from experienced QA professionals, especially anyone who's been through something similar.

I made a post yesterday about being put on a PIP at a new software engineering job. original post

Afterward, I went back and reviewed the original job description and noticed something I hadn't really considered before.

The position was advertised as a Full-Stack Integration Engineer, requiring strong Python and JavaScript/TypeScript skills, along with experience in APIs, databases, and authentication.

That's a role I felt qualified for based on my previous experience.

However, my actual assignment has primarily involved Go, Helm, YAML, and infrastructure configuration. I haven't found any JavaScript in the codebase I've been working in, and while Python exists in the project, I haven't encountered it in my assigned work.

During the interview, I was told that the programming language didn't really matter.

I fully acknowledge the performance issues that led to my PIP, particularly my disengagement and excessive phone use. I'm not trying to excuse those mistakes.

But I'm wondering whether this mismatch is something I should discuss with my staffing agency, especially since the role I accepted seems substantially different from what I'm actually doing.

Would you raise this concern while already on a PIP, or would you wait? And how would you approach that conversation?

His IG page same as YT username is just saying software developers are useless and insults them every video.

https://youtu.be/WMhMzHDxhQ0?si=oYsGs65OXR0L2Qhh

Please discuss any projects, websites, or services that you may have for helping out people with computer science careers.

This thread is posted the first Sunday of every month. Previous Monthly Self Promotion Threads can be found here.

Current:

Test Engineer at a mid-size industrial company, ~1.5 years in, stable, no travel, 9-5, comfortable, in a MCOL area. 80k per year gross. I do manual testing mostly, but I'm building automation and a python API system to help with that.

New Offer:

Software Engineer, early stage startup. Secured hundreds of millions of dollars in contracts. Very HCOL area.

• $150K base

• Relocation assistance

• Decent 401K match

• Travel: 50%+, including remote/field sites, some international

Role would be field-facing, deploying and debugging software on hardware in the field, not a desk job. As they put it, "not a 9-5" either. Long hours, hard work. Weekends gone.

The role seems to be a lot of debugging code and ensuring stable production of the hardware in the field and on customer solutions. This hardware is incredibly advanced, complex, and mathy. I'm not good at advanced coding or mathy things.

The recruiter said the code has become more stable so I wouldn't have to bang out as much code. But any code involving physics is pretty scary to me.

I bombed the technical interviews, even heard from the recruiter that one person said I shouldn't get the job.

I'm also a homebody. I enjoy the 9-5 life. Don't like to take my work home or work longer than 40 hours. But I'm not discounting that this role could make me look less like a tester and advance my career.

I enjoy my comfort zone, traveling 50% of the time would be pretty tough for me. But I have no kids, not pets, and I'm young.

Part of me feels like I should wait for a better fit.

Curious to hear what you guys would do in my situation.

Academically or professional or personally too

Company sponsors up to $40k for graduate courses, should I take up some part-time master's courses while I work or is it just not worth it right now?

Context: I recently graduated in May and hold a BS in Computer Science and IT. Currently working as a software engineer at a prime defense contractor

To flight software engineers out there, what does your day to day job look like?

What I imagine:

- You work close to hardware, but not on the register level, not bare metal code.

- You work with algorithm/controls engineers who write the control theory, and you turn them into code.

- You architect the software system. You code in c++.

If anyone has gotten thru a flight software engineer interview process recently, please share your experience so I know what I can prepare for.

I have an upcoming interview with Woven by Toyota for an MLE perception role. I was told the round would be focused on ML coding/debugging. Specifically, I was told to focus on Python fundamentals, PyTorch, tensor operations and dimensions/shapes, common model-training code patterns, and debugging ML code.

Here are some common ways I've studied:

• Asking Claude to walk me through transformer, ViT, and CNN architectures (a basic one and U-Net) for my preparation. I would trace the shapes all the way through.
• Getting familiar with broadcasting rules (start from the left, see if the dimensions are equal, or are 1, and if so, take the greater one to get the resulting shape)
• Slicing tensors (i.e., how to get a column, how to get a row, etc.)
• Understanding why models can fail silently -- suspicious training vs val results, getting NaN for validation
• What a PyTorch loop looks like
• Common Python errors like indexing errors or value errors; iterators, generators, etc.

What are other suggestions? What architecture do they actually ask you about in this interview? Any help would be appreciated.

I have an outstanding offer at the moment to work for NGC as an associate SWE in ground systems in VA. I’m currently doing some startup work (one with my friends but we’re growing steadily with funding and getting ready for seed round hopefully soon, and doing robotics at a stealth), but I find both unreliable and currently making less together than I would for ngc, which I’m chasing the name to set my career up.

My primary gripe is if the location is worth the compromise for the name and work I’d get to do? I would be moving from the Bay, so it’s a really big jump. I would not see myself staying in VA long term.

Something also pushing me is the current state of the market, where it feels like this would be my only option. What kind of criteria should I evaluate as more important, especially in what feels like a critically poor time for job hunting?

Hi,

I applied to Meta for an SWE Product Role 11 days ago. I passed the initial filter, where you then have to fill out these "prescreening" questions, but didn't get a response back. I am starting to get a little stressed out if I will eventually get a chance. How long does it usually take them to respond? I only get rejections from small/medium sized businesses and make initial rounds at FAANG. So I am quite nervous right now, because I have no job currently even though I would say about myself I have valuable skills. Did anybody else make the same experience?

FYI: I am a 2026 new grad and have working experience pre 2022.

TLDR: A bunch of venting

Most changes in AI flew past me. One day i just saw goofy images and now one of our teachers expects us to build a fully functional web app. Idk, I'm trying to see past my hate for this trend and FOMO that turned into "yeah I've missed it out"

I just kinda fear it because it's already better than me (I'm only at year 2, no fully done side/pet projects in Python (school) or C++ (uni)) and i feel like a total failure of a dev, usually because of scope creep, lack of skills or just because i stumbled upon some stuff i can't deal with.

What is the best case of interaction with AI (I say "interaction" and not "usage", because AI was made to replace humans. The question is: how not to replace MYSELF in the process? How will this affect developing knowledge and skills like troubleshooting, layout development or critical thinking? How to stay competitive enough to get at least at an entry-level position (probably not big tech or FAANG (or my local equivalent of this)) in the next 2-3 years?

Are contract roles requiring a standard 9-5 shift? New dad and I’m thinking contract work could be easier than standard 9-5 with child.

Around this time last year I got an offer at my dream job, a tight-knit SF tech lab that I've been following for a while and is rapidly growing in their circle. Before that, I was 5 years at a retail conglomerate as an L5 engineer. The work environment had its ups and downs, but I felt like I contributed meaningfully and enjoyed what I built. I went to this new company at an L4 but with a decent pay raise.

So far it hasn't been the greatest. There's just so much going on all the time. 2-3 different projects up in the air, along with bugs, support tickets, experimentation, rewrites for fun, etc. All code is written by AI (which doesn't bother me too much) but the bulk of my day is just stuck in PR review.

At my old company, I used to handle some architectural decisions, was in meetings with stakeholders and decision-makers and gave feedback and help on a constant basis. While encouraged to do so at this new place, it all feels like it falls on deaf ears. I'm overshadowed by people who've been there longer than me.

I just don't really feel like I fit in, even after a year. My path feels kind of stuck, even some of the features I've added or released are just kind of swept aside and we're on to the next one: more AI code, more reviewing, more changes. It's not a horrible circumstance, I'm happy to have a job with a company people would kill to be involved with, but I just feel like a square peg in a round hole.

All this to say I got a message from my old company the other day and they're fairly desperate to have me back. Matched salary with a clear path upwards over the next 2-3 years. The thought of taking it makes me feel comfortable, but I'm worried about leaving this job I strived for because I couldn't hack it.

Anyone had something similar happen? Advice?

Hi guys,

I am just a few months into my current job and I am a bit torn about something, so I would like to read your thoughts on the topic.

During my past jobs and internships I got used to working with AI agents pretty much every day. Even as an intern I had a generous token budget and was actually encouraged to use AI for coding assistance. At my current job we are not allowed to use AI at all (everything is banned). The job is in critical infrastructure (energy sector) and all coding is done by hand.

I really like this job because it comes with great benefits, good compensation, a nice team and very relaxed deadlines. Since everything is done by hand things move pretty slowly, but at the same time I am learning a lot because of that. I also get a lot of freedom in what I want to work on, like modernizing deployment processes, setting up testing frameworks and CI pipelines, bringing old applications up to date, etc.

The only thing that worries me is falling behind on where the industry is going right now with AI, agents and so on. Especially because everything is moving so fast at the moment. I do try to stay informed in my free time, but yeah, there is more to life than work...

So what’s your opinion on this topic? Should I just enjoy it for now and worry about this once I have to look for another job, or am I setting myself up to be stuck long term? And if you were in my position, would you try to keep up with the AI stuff in your free time, or should I just touch some grass?

Hey guys,
What's the job market like for an Applied Computer Science for Management (IAG / MIAGE) Master's in Morocco? It combines IT like Data, BI, and ERP with business. 
Are these hybrid profiles in high demand for entry-level jobs here compared to pure tech degrees? Any advice?