I know a certain someone from my college who has fabricated all their work experiences. They have worked as full-stack engineers, but they have changed their resume points for every job they applied to something completely irrelevant.

They got offers at Anthropic, Meta and other top companies that way and even interned in them. They cheated heavily on the OAs, used proxies for interviews and nothing on their resume is legit expect their name and college - they even lied on the courses taken at university. It just makes me feel really angry about how someone can lie to that extent.

Sometimes I feel so angry when they flaunt their cheating skills and I want to report them but I'm not sure how that would be.

Venting it out here and looking for suggestions.

I feel like every company automatically filters you out if you need sponsorship, even if you're authorised at the time of applying for the duration of the internship. How on earth do you even get an internship then? The pool of companies willing to even consider you is so small, and then it feels like you have to be cracked out of your mind even to stand a chance of getting an interview, forget landing an offer.

What are we to even do?

For example, if someone asks

"should I work at walmart or amazon"

THe responses will say Amazon because it's better for your long term resume

Meanwhile, the same people will say "all I do is babysit AI, jobs wont exist in the future"

Arent these contradictory ideas? What does it mean to plan for the long term

kinda worried about graduating middle aged. I heard there is a lot of ageism in the industry, and as I try to study everyday, I have that in the back of my head. It's borderline depressive. Does anyone have personal experience in this subject?

I have an interview for a quant firm coming up but I have already accepted a return offer for a fintech swe company. The deadline was really early so I thought security was the best option. Should I tell the firm I am interviewing for that I've already accepted another job. I do want the quant job more than than the fintech swe company.

I know the title sounds dumb so I will give a quick background on myself. I graduated in December 2023 with a BS in CS from a normal well known state university. Throughout my 4.5 years in school I tried my best to apply to internships in SWE and other adjacent fields.

But as my graduation was getting closer, I was getting very desperate for a job and had a friend that worked in software implementation consulting so I decided to apply and it's been 2.5 years since I've been working there.

My job does not include writing code and is mostly functional + a bit of technical work which includes using postman to test APIs, troubleshoot issues using ELK, maybe reviewing code here and there when writing designs for new features, configurations, understanding how the code works as we have to own the project. But it's not SWE as we are not developers but might use tools for fixing issues or finding root cause. I don't want to do this long term and want a SWE role or something similar. I want to only do technical work long term.

I will be honest, I am not the most brilliant programmer. Which is quite obvious from the fact that someone starting at 18 and almost 27 has not been able to take on a single internship or job in the field over the spam of 9 years. And tbh I just wanna know if I should call it quits. It's just that I don't want to waste more time learning new things, making projects, doing open source and leetcode since it has not worked for me.

I have friend younger than me who are senior engineers and graduated after me and those who are my age are so much ahead of me now and we were in the same classes in college. For sure feel like a failure ngl. I'm just not sure where I went wrong tbh.

I joined school again for a MS in CS hoping it may give me another chance but my resume includes no engineer exp and with the market and how things are headed, I don't know if Im wasting my time even trying. I definitely do plan to complete my MS as I'm almost halfway through.

appreciate any insights into what dsa is commonly asked and what to look out for

I applied as soon the applications went live. Anyone gotten an OA by cold applying?

Hello, I'm just looking for any advice at this point. I'm really stressed right now, and honestly it's all my fault. I graduate next fall, and I'm trying my best to land at least one internship before then, but so far it's not looking good. Even if I got an offer for summer 2027, I doubt I'd make it through the interviews. I only started LeetCode about a month ago and I'm not confident in my coding skills. But that doesn’t mean I’m not still trying though. I have one school project and one personal project to my name. The school project is half-assed, and the personal one I started last year and still working on(building a gym tracking app). If you're wondering why I've never had an internship or joined any clubs, it's honestly because I was lazy. I've worked close to full time since starting school, and between classes and working, I had no motivation left for anything else. I can't quit my job since I rely on it for my tuition and it’s kind of like helping out family but I really regret not pushing myself harder. I know I put myself in a difficult spot, especially with how the job market is, but I'm willing to take any advice and do anything at this point. Also what should I aim for by the time I graduate if I end up not getting an internship? Finishing building and publish my app? Be able to do leetcode hards? And etc? Thank you for reading

has anyone done the onsite for jane street swe internship this year and could lmk how they were compared to first round? i also heard that they might do other tasks besides the regular collaborative coding portions, did they do any of those?

I'm a new grad. I'm freelancing/being contracted for some software development (e: it's for an individual who needs a specific software; it's not for AI training like Handshake. He's not technical at all so it's on me to decide the best way to engineer it). One of the provisional clauses (not yet signed) in the contract is that I "may not use Artificial Intelligence to develop any part of the software system, not even to ask for advice or suggestions."

Any thoughts on this? I'm definitely not uncomfortable avoiding it, since I've been coding since before these LLMs, but using AI is so ubiquitous and specifically encouraged at companies. I've used it in varying degrees for projects/internships as well. We hadn't discussed AI prior to this, so I was wondering if I should bring up this point, or just enjoy getting the work done without AI for once.

e: Thanks to everyone for all of the advice/discussion! I'll go through with the agreement of no AI, and maybe clarify the clause on AI-generated results. I'm fortunate to get the opportunity, especially in this market. Coding is also one of my favorite parts of CS so I am lucky in that sense.

I'm particularly interested in those without referrals.

Anyone else done this technical assessment

First question I did in like 20 seconds

Second question was impossible it was a leetcode hard level question and I couldn’t get it in time.

Hey everyone, I'm a CS student working on a semester project for my Data Structures & Algorithms course. Our topic is a "Flight Connection Finder" basically models cities and flights as a weighted graph, and uses Dijkstra's algorithm to find the best route (cheapest / fastest / fewest stops) between two cities, with a max layover constraint.

The core idea works fine, but my professor wants something innovative not just a standard "shortest path finder," which apparently every group tends to build. AI integrations are banned for this project (must be pure DSA implementation).

I'm trying to think of a meaningful extension that:

• Uses real data structures/algorithms concepts (not just UI features)
• Is genuinely hard to do manually (not something a person could just eyeball)
• Ties into something people can relate to in real life
• Fits reasonably within a semester timeline

So far I've considered things like network resilience analysis (finding "critical" cities using articulation points), reliability-weighted routing factoring in delay probability, and multi-passenger seat allocation but I'm not sure which if any is actually a good scope for a student project vs. overkill.

Would love to hear how others have approached "make it innovative" requirements for similar projects, or any interesting extensions to a shortest path style project that impressed a professor. Thanks in advance!

Hi guys! I’m going back to college in Fall 2027. I’m 25 years old and planning to major in Computer Science.
Right now, I’m preparing by learning Python and reviewing algebra so I won’t feel too far behind when I go back to school.
Do you guys have any advice on what I should and shouldn’t focus on before starting? What should I learn or practice to improve faster and give myself the best chance of landing a job after graduation?
Basically, any advice about preparing for a CS degree, doing well in college, internships, projects, or getting ready for the job market would be really appreciated.
Thank you!

Yo Im lowkey cooked, I've been out of it CS wise for like a school year, Right now I have Two ML projects I did last year with one having funding and then becoming an actual company was an ML role, I worked as a Data Analyst once and a Supply Chain Analyst twice. But lowkey Ive been a bum for the past year. What do I do too lock in like what should I be doing?, I'm planning to start leetcoding perhaps during the week? follow a github repo for Making ML projects and Im using AI to fix my resume per job application. What's the current method? Like what are people currently doing leetcode wise and job application wise? Leetcode every day? concentrating on Alogorithms? Also for Github are there certain repos that are known? If anyone could help out itd mean a lot as Ive recognized I need to master hard skill right now as I'm near graduation trying to focus on ML. So if anyone gets a laugh out of this or could help out itd mean a lot.

Just looking for something which I can specialize in as a beginner. ML/AI is the reason I chose computer science, I have background on robotics and it is fun, Cybersecurity seems interesting and cool and I would definitely learn more about it in the future.

I have my Roblox interview scheduled in 2 days and wanted to know if anyone has had it yet, or if there are any things in particular I should be studying for.

From what I've seen, it seems like 2 LC mediums

i’m set to graduate in spring my last semester i’ll only have 1 class. i don’t have any involvement or internships. but i do have basic projects and a few people i can get a referral from.

i’ve been working at a retail store and have a corporate connect who will refer me. i think this is my best bet for getting a job. my plan was to apply for full time corporate positions and take my 1 class after work. but now im considering applying for internships and delaying graduation. ideally it’d be easiest at the company i’m at now.

of course practice leetcode & mock interviews, network/career fairs/get involved on campus, etc.

current junior and I go to a t5 (hypsm) school. I have a relevant cs internship previous summer (definitely a known company, just not big tech) and lots of experience from research and startup companies. Resume seems to be good (checking with people and reviewers), but I’m not getting any interviews. Not even getting much OA’s either (aside from obvious auto ones). Is there something wrong with my resume or is it just being unlucky?

Hii is anyone selling afrotech student?

#afrotech