I work in company of 12 people and last 6 months we're been developing 100% with AI. What I notice is:

- Good developers have improved development speed for at least x5.

- Bad developers are still bad developers. They introduce a lot of bugs with AI, missed deadlines, bad code, bad functionalities and failed projects.

- Developers spend now their time with collecting requirements, making product, testing more, deploying, architecting, but they are still in need. This can not be replaced with AI at this point for mid size project.

What's your guys experience?

Edit: Seems like AI bots have taken over Reddit as downvoting real life situation and upvoting doom comments do not make sense at all.

So this is my first time being put on a PIP. I was on a what my boss called a Pre-PIP. I talked to my friends that have been put on PIP and sounded like it was basically not winnable and that I should just start looking for a new job. I've now been taking time off to take interviews. And now my boss is bugging me about attendance? I thought there was some kind of unwritten understanding that I would just take this time to get a new job? Did I misread this entire situation? I don't think my boss actually cares but maybe he has to cover his own ass?

Edit: In California

Title – with all the layoff news, if your company did a large wave of layoffs in light of "restructuring", would you begin applying elsewhere? Why or why not? What factors would influence your decision?

Example, with Netflix – great comp and perks, but is that reason to avoid preparing for the worst?

I'm curious to hear from developers who are a few years into their careers.

When you're starting out, there are so many things to focus on — DSA, projects, system design, new frameworks, certifications, networking, and interview preparation.

Looking back, what actually made the biggest difference in your career growth?

• Getting better at DSA and problem-solving?
• Building real-world projects?
• Learning system design?
• Switching companies?
• Networking and referrals?
• Something else entirely?

I'd love to hear what genuinely helped you grow, what turned out to be a waste of time, and what you'd recommend to someone starting their career today.

Hi everyone.

I'm studying software engineering, doing my master's degree currently, and I feel like I don't really know what the future holds for me because of the market and my own abilities. I started university right around the boom of LLM's and while I actively avoided using them in my first year and a half, by the end of my third semester I was feeling incredibly insecure about my own skills and the fact that everyone seemed to be using these tools to get ahead so I bit the bullet. In the last 12 months I have become so reliant on AI for my programming tasks that I don't even want to call myself a software engineering student. I got into the field because I really wanted to go into tech but I've taken so many shortcuts at this point that I don't think I'm good enough to do much. I know some theory and I can understand code and how things work, generally, but I'm not good at writing code myself, even for somewhat basic things. I'm trying to stop using AI but it feels like I'd be outpaced if I don't. Seems like the field is going in that direction as a whole and I can't escape it.

I recently spoke to a potential employer and he said he doesn't care for anything students study in university, he believes that the era of AI has signalled the death of software engineering and he wants to focus fully on AI. I disagree with that on so many levels but this is not the only employer who has told me such things. Additionally, even in university we are encouraged to use AI by many lecturers, with the idea that knowing the principles would prevent us from becoming mindless prompters. But I, personally, don't feel like I can really do things well despite following that advice. Feels almost like you're damned if you do and damned if you don't.

So what does a student in my situation do? I was considering switching my master next year to something more niche that would force me to have to learn things myself but that comes with its own set of challenges, the major one being employability after completing the degree.

TLDR: AI has made me demotivated, complacent and unemployable, yet it feels inescapable.

Hello everyone,

I’m a young/early career 24yr old software engineer that’s been working professionally for about 2.5 years. I’ve been living in the Midwest my whole life , and recently started my new professional job this August.

I 100% want to leave the Midwest and hopefully move to San Diego ASAP but at least by the end of next year, but I’m having trouble figuring out what to do/when to bring up this conversation with my manager.

I was at my previous company for 2 years, and was trying to get a job in San Diego but wasn’t getting any luck. My last job was destroying my mental health, and along with me not enjoying life outside of work, I settled for getting a new job within my city. At my new job, I’m being paid well for my COL and I am enjoying my team and my manager, but my life outside of work sucks and I have never enjoyed life where I’m at now.

My current job requires 3 days in office so I can’t just up and leave to a new city, but there are lots of people that work fully remote around the US. I think many of these people were hired during COVID and are retaining their fully remote position. Going fully remote and moving to San Diego might be a possibility, but I’m worried about when to bring this up to my manager because I’m still new. My current manager also started a couple weeks after I did, so they’re new too.

If this was even a possibility, I most likely wouldn’t get any sort of relocation assistance or COL adjustment for my current role. I’m wondering what the best options are, and how/when I should bring up this conversation with my manager. I don’t want to lose my job but I really can’t stand living here any longer than I have to.

What should I do?

I want to get into software development and I have the opportunity to talk to the CTO of a tech company on Friday. What questions should I ask him and why should I ask those questions.

Long story short: rejected after a first round technical interview, got the problem right but it took me the entire interview time, felt like i explained my thought process, drawbacks and advantages each time i proposed a solution.

I live in a major city but one that definitely isn’t a tech hub. feeling pretty dejected as this was my only interview out of the 50 i applied to (to basically every company in my city).

this entire new grad process has really soiled my passion for cs, how do i get it back? how do i approach the job market?

Stats:
US citizen, T100 no name uni, 3.7 GPA, one prior F100 cybersecurity internship (no return offer due to budget)

Say you apply for a role with Company A, didn't pass their background screening for whatever reason (criminal record, drugs, etc). Have you seen anyone reapply and then get hired?

I like programming but im gonna major in data science because it looks like employment will look good in the future.

Theres alot of similarity between computer science and data science, and data science just has shit more about stats and data. But you take programming and math classes in both majors.

I was just wondering, if there was any down sides of data science that led you away from the field.

TDLR: I just dont want to take the risk of going into a comp sci degree since its very hard for juniors right now, and data science has alot of programming that it uses so I just thought it could be more worth it.

(I have programming experience in c# from making games on unity)

I'm currently in a meeting where we plan our next PI and I'm noticing a major issue that has been getting worse over the years, mostly the past few years: People cannot communicate anymore.

It is like Person A is communicating an issue, Person B responds with an answer that isn't related to Person A's communications though B believes it is resulting in A getting frustrated. A tries to articulate the issues in a different way, but it fails and people start talking past each other. It isn't just one or two people like this example, but entire departments of people.

Everyone seems to have completely different mental maps of systems and processes even though all of the parties involved work on these same systems on a daily basis; almost like they all have separate realities. I'd say it isn't really an issue with articulation, since even if A articulates the issue perfectly, there are too many people who are erroneously comprehending what is said and end up misinforming others.

The result is frustration across the entire department. It is kind of scary in a way and I really hope this isn't happening in more serious fields like medical, aviation, etc.

Anyone noticing anything similar where they work?

I’m currently a graduate student studying AI and data analytics and am unsure of what types of internships/jobs I should be considering applying to or what skills I should be looking into building.

For context, I finished my undergrad earlier this year in a loosely related computational neuroscience degree that included basic programming, DSA, and data science courses but didn’t go too in depth into any of these topics. I also have internship experience in both data science and ServiceNow, and both my last and current job have been basic IT jobs managing tech support requests and diagnosing network connectivity issues at a small business and at my university.

I feel like I have lots of interest and skills in multiple relevant fields, but am not skilled enough to actually enter any of them. Due of this, filling out applications for any internships is even more stressful and extremely time consuming because my resume seems long but rather unspecific when untailored, but feels weak when trying to apply it to any specific internships.

Is anyone able to give advice for getting into UKG? Still on the job hunt 9 months after mass layoff at my company. Thank you!

I was in BE team but recently there are more FE tasks that they want me to help with.

I know basic React like I can build simple ToDoList with React

But the FE tasks require more advanced FE knowledage which I don't have

I know that I don't have a big picture/knowaleadge of React.

Then I asked CTO to buy me a course on Udemy cause I'm not exceptional in React.

He said no, I prefer you to ask around other devs here.

Ngl I don't wanna bother other devs, they got their own tasks to do.

So I said ok and I just bought the course for like 50-60USD with my own money ;(

As the title says.

Ps. this is a small team with 6-8 devs. My CTO also sometimes do Customer Support's job since we are a small startup/scale up lol

I see this position listed more than ever these days.

Specifically downtown Toronto where the banks are. I currently work in cloud engineering in one of them. Went to a popular after work bar and sat at the bar. Seemed mostly finance people as they were in suits but a couple in polos.
Was tempted to start approaching random people like my college days lol. But didn’t know if it would come off cringe/unprofessional.
Any suggestions? There are a few events hosted jointly with aws and the like, might have to save my energy for those.

We were split off from a larger company to work on our own niche software. This was about 7-8 years after PE made the investment which I was told is when they want to start to see the return.

This is what I've seen over about a year since I've joined:

• company split, of course
• consolidation of teams
• change in management style
• switch to quarterly reviews
• more aggressive deadlines

On one hand, why would they be doing any of the above, letting everyone know, with the intent to later lay off some portion of those folks? Surely layoffs sooner would save them more than later.

On the other, there might be timing involved with layoffs, so all of this has to be done anyway? Does this sound like a playbook anyone has run into with PE owned companies?

I know this market is hard on new grads, but would it be hard to re-enter this field with 2 years of experience? I know that isn’t mid level of course, but just curious. I live near a government contractor hub as well.

So for context, I’m a Canadian CS grad of June 2026, from a mid-tier university, definitely not a “top” university(for tech, but it’s still respected decently overall). I graduated with honours and a 3.7GPA, but I know that means almost nothing, it’s just context.

I’ve concluded that the type of tech job I originally studied CS for probably won’t materialize - at least not anytime soon. I had planned on the classic pathway of writing code to build stuff, and at the entry-level that’s increasingly and easily automated. Learning advanced architecting isn’t exactly something one picks up in a day, and I’m uncomfortable with how AI is already operating at increasingly abstract levels and fear becoming a glorified PM who just says “use Python to make X, don’t use kubernetes”

I have experience in the basics of programming and DSAs, and am slowly developing a “specialization”(so to speak) in data: SQL, databases, pandas, and all the fun simple and complex tools around that. I’ve already built a 20-30)I’m very tired and don’t have the number on me rn) table database for a little group of mine. UI is a WIP, but functional. Frontend is somewhat annoying.

I’ve had pretty bad luck with direct SWE jobs, not even a single real interview for those positions. Did a couple online tech pre-tests, aced them, but never went further. But I’ve had decent luck getting interviews for non-SWE tech and tech-adjacent roles like solutions engineering, data analysis, and QA engineering. No offer yet, but I think it’s due in part to my being a noob when it comes to interviews(as well as the lack of proper tech work experience, but with my projects and some chatting, I’ve managed to make up for it a decent amount of time).

So I figure, given that I don’t like where SWE is going and I’ve had better luck with other roles, what opportunities might people who are more in the know about tech suggest for someone like me? I don’t care *too much* about pay, but I would prefer if there were opportunities for advancement; either within the position itself, or from gaining enough relevant, credible experience to find a better job. I don’t mind putting in more work or some self-learning, but I’d prefer if the options involve things I can pick up without having to spend 6 months studying an in-depth field and building all-new projects before I can apply for my first position.

Thanks in advance, have a lovely day.

​

Hello everyone I'm currently enrolled in a dual masters in computer engineering and computer science at UHCL I'm located in Houston near NASA but may want to move to Colombia where my family is from at some point. I'm on a full scholarship. However I'm having doubts about where to go for a career. I have 3 years of experience in web development and general IT and an undergrad in IT. I really am just looking for something I can make it into before AI wipes the entry level of the field, I also want something that interests me and that is stable not as hectic as web development. Although everything in tech is fast paced. However I can't quite decide my main 3 areas of interest are embedded systems, cybersecurity and networking. Each has pros and cons. I seem to like embedded systems the most but I worry that even AI can do embedded code now as well. I don't know other areas of hardware engineering that are perhaps safer. I liked cyber but it was impossible for me to break with my undergrad as it's extremely competitive. I had a networking role which was okay but I was more like this fine I liked some things on the job especially the physical parts. Some parts felt boring. The pay was abysmal but pay isn't my main driver. I took an AI course and found it pretty interesting especially the topics with edge AI. I also want to be a professor at some point in my life I'm 26 so I don't know right now. I like building/making things. I don't mind detective type work either. I just feel lost right now and don't know where to go for my career.

Any advice is appreciated.

https://catalog.uhcl.edu/preview\\_program.php?catoid=25&poid=7072

https://catalog.uhcl.edu/preview\\_program.php?catoid=25&poid=7074

Hello all,
I have an interview for the FAST internship at JPMORGAN. It had an analytics track and data science track which I’m interested in. After applying I received an email from a recruiter and I have an interview. I was wondering if anybody know how this interview is conducted and what type of questions are asked

What's the biggest turn around story of someone you knew in school ?

Full-stack dev here. I have a full time job but I’m thinking about picking up side projects. Thing is, I’m not sure if it still makes sense for consultancy-level pay. On the other hand I’m paying for a pretty heavy LLM setup and honestly I’m not using half of it at work, so it feels like I could get through a lot more work than I could a couple years ago.

So a few questions for people actually doing this:

• Are there still enough real projects on Upwork / freelancermap / Malt etc.
• In what ways has (if any) AI changed client interaction?
• Has AI changed how you price projects?

I will be interviewing for this position at IBM and really wanted some insight on whether this interview would also consist of DSA problems, etc.

I did have a small DSA/SQL OA prior to this point, so I have reasons to believe that it may come up again but the entire JD focuses on AI/DA and that skill has not been tested yet.

I get that they will also pry me on my projects and prior internship experiences, but I still wanted to get an idea as to what else might they ask.

Also, this is going to be my first internship interview with a company of this size (the previous intern was at a startup), so how do I approach these interviews as well?

Should I make a quick and small project on RAG till the time my interview happens, since my CV does not mention RAG at all but it is mentioned in the JD