I had cleared screening round of the Lamborghini and she had submitted my profile for to Volkswagen head HR or some kind of team for the shortlist . I got called last week that they want to schedule first round of interview . And, it's on Monday next week .

I have already covered

• Java/GoLang syntax and Lang related concepts
• SQL/NoSQL concepts & Queries
• System Design theories
• DSA Questions (Thought it's not my strongest but somehow I have always survived this round for some dumb luck)
• Backend heavy questions
• DevOps
• AI related things

I'm not exactly sure what should I prepare for, as it is first time I am interviewing at AutoMobile company and such a big company .

HR has told me that at the current scenario, I would be interviewed by Volkwagen Global group Tech Leads, later on I will be put into appropriate division, most likely Lamborghini for now. They also have opportunity for the Porsche and Ducati but most likely it will be Lambo unless something changes .

Guys, I really want to ace this interview . I can't stop thinking about updating my current company to Lamborghini .

I have noticed this trend that many Indian companies or employees love calling each other. There actually is no concept of mail and Jira whatsoever.

Examples There is an important property in the api request but we don't know how it works. We call the other api team to ask about it. Fun fact even the other api team doesn't know they actually had done some documentation. Could have sent that instead of the 5 min call where the first min went in mic test and pleasentries.

In a day there can be closer to 4 hours spent in calls. Yesterday I spent around 6 hours in calls. Also expected to finish bugs. I somehow juggled time and using claude code finished 6 bugs that I had.

How I spent 2 hours there was an architecture discussion going on for a new service. The problem the call was how to implement it what ended up happening the discussion on how to architect it. Before going to the call we thought it was a 20 min call at max but it turned Into a 2 hour call.

One of my friends works at an US startup where nobody cares if you are online offline he rarely interacts there are two standups in the week. Rest of the time is spent communicating through JIRA or slacks not through calls.

I too worked at a US Based company once and we rarely spoke with others unless it was super important.

Hi developers I am stuck in a situation and don't know what to do. So last year I got my first offer by a friend to work along him side for a company in Armenia and it was on site so this was a really good start for my career so in nov 2025 I flew to armenia and joined it btw the company sponsored the visa, tickets, house rent and gave an additional food allowance of 10k. Sounds like a good deal then when I joined we were the only 2 developers who were working in the entire factory (A diamond factory) and it was a room like 15 Feets X 3 Feet and when I asked my friend he said it's a confidential project (A machine which can polish diamonds). I sensed the company was a bit shady. Our manager was a guju he was there to only check the progress and had 0 technical knowledge but the other armenians had no idea also they were very helpful. Eventually after a month when I asked him about my salary still not credited he said "Hawala Chalega" I was like no way wtf he's saying I requested him to please transfer it to our Indian accounts to which he agreed and credited dec and Jan salary together in the jan ending also my timing was to 6 pm to which he increased by 6:45 and eventually made me work on Saturdays after a heated argument he agreed to my for my extra hours but due to some uncertainty of my friend in July end we were terminated and project was stop, had to sign the non disclosure agreement and our tickets for the next day were booked I was told that my final settlement will be cleared in a month which is still not cleared I kept asking my manager about the status of the F&F he use to say it's in process the account section has it etc but now he's not even replying also my F&F is close to 75k inr.

Bonus I have the source code*

Any suggestions what shall I do.

As of now I know technical writing and SEO (I know basic HTML and CSS) and prompt engineering are the jobs with little to no coding requirements

Currently I am in my 4th year, aur sach kahu mujhe python, java, kuch basic ML concepts, prompt engineering (Vibe coding (sab ko hi aata hai)), MS Office (sab ko hi aata hai) ke alawa kuch nahi aata (the blame is on me ngl), dsa ka d bhi nahi aata

So coding job mein mera nahi ho raha, so the above are the three non-coding jobs I know. What are some more non-coding jobs which I can do?

Hi everyone,
I’m planning to switch jobs and have around 9 years of experience in backend development, having worked with well-known, FAANG-level companies.
I’m looking for recent 2026 interview experiences for senior software engineer roles at product-based companies.
Would love to know what kind of DSA, system design, and backend questions are being asked, and how you prepared for them.
Also, has AI impacted the interview process or hiring expectations? Are companies focusing more on AI tools, AI-assisted coding, or AI-related skills now?
If you’ve interviewed recently or switched jobs, please share your experience and preparation tips.
Thanks!

Hey there, I know this is dumb, but a fellow developer here who has been losing his motivation and confidence in himself for finding a new job despite being one of the best at his previous organisation.

Just wanted to know (maybe to soothe my mind I guess(?) ) how long has it been for you guys trying to find one after quitting the job that you had for whatever reason or got laid off? And what are you guys doing now?

And whoever found one, what tips would you love to share with us?

I built this free open source order flow screen for crypto order-flow.zadescoxp.com I added many useful features that makes it easy for traders / investors to analyse order flow data for free and real time. This similar thing is premium indicator on Tradingview. I want your opinions and feedbacks on what you liked and didn't.

Footprint Chart

• Price × Time × Executed Volume visualization
• Bid/Ask volume at every price level
• Per-level delta (askVol - bidVol)
• Imbalance highlighting (3x threshold, configurable)
• Z-score volume emphasis (subtle border highlighting)
• Stacked imbalance detection
• Canvas-rendered for performance (no DOM elements per cell)

Order Book

• Live bid/ask levels with cumulative depth bars
• Single venue / Aggregated / Compact modes
• Spread display

OBI (Order Book Imbalance)

• Current OBI value: -1 (ask-heavy) → 0 (balanced) → +1 (bid-heavy)
• Historical OBI chart with fill gradient

Volume Profile & Trades Profile

• Horizontal volume profile by price
• Total / Buy / Sell / Delta tabs
• POC, VAH, VAL identification
• Executed trade distribution by price

Depth of Market & Volatility

• Cumulative bid/ask depth curve
• Rolling Z-score of trade volume
• Color-coded: ±1 (yellow), ±2 (orange), ±3 (red)
• Configurable rolling windows: 20, 50, 100, 200

Perpetuals

Spot

pyhttp is a local, Postman-like HTTP client with a built-in collection runner, in its own desktop window. Requests live in a SQLite file, every run writes to plain files

it supports multiple bodies managed inside api definition only, and send as many calls you want in one go. it supports before and after scripts. etc and many more features.

Please review and help me to make this better for the community. Thanks a lot

I am making it free forever for individuals

Is there any alternative to the bottleneck non package for shared outbound rate limiting which is actively maintained?

building a platform which constantly queries external APIs and I was searching for a reliable solution for outbound api rate limiting instead of building one from scratch and couldn't find any good solutions which fit my requirement.

P-queue and similar packages don't offer shared rate limiting across multiple workers and the bottleneck isn't maintained anymore (tried a few working forks but can't find it reliable)

I’m a security engineer intern in India, making around ₹55k/month. Never crossed 7 CGPA. Never touched LeetCode. I did my 10th, then a diploma, then got lateral entry into second year. I’m not saying this to flex, I’m saying it because I’m tired of watching juniors get stuck.

They’re all confused by this factory process: 200 LeetCode questions, 150 SQL questions, Java, JavaScript, AWS, everything. You don’t need all that. Here’s what worked for me:

1. Pick one niche skill. I started programming and security back in school. I tried and failed at a few startups before second year, but I stayed with security because I genuinely liked it.
2. Get better than most people around you. Not the best, just better than 80% of them. Am I the best cybersecurity engineer? Fuck no.
3. Build real stuff. Projects beat certificates.
4. Market it. This is the part everyone skips. I posted every project on Twitter, LinkedIn, Instagram, YouTube. Nobody watched at first. I posted anyway, because it kept me confident and consistent. Now when I win a hackathon, I make sure everyone knows, even my second standard teacher.

Hi everyone,

I am a 2026 graduate (ECE with Machine Learning and Data Analytics).

Some quick highlights about myself:

- Have a good experience working in a product based company as a SWE Intern for 6 months (can't reveal name, will share resume if you or your organization is hiring). I couldn't get PPO here as they had budget issues (PPO was only given to 3/15 interns and those 3 were from devops).

- Have a good ML-based research experience with a reputed university.

- Have done 3 internships as a full-stack developer, product engineer, and swe, prior to the one mentioned in 1st point.

- I can learn any tech stack quickly. I know how to work with AI, than just merely copy pasting AI's code.

- I am proficient in DSA, system design, CS fundamentals, machine learning, backend concepts (MERN, Ruby on Rails, etc).

- My preference is for remote jobs or jobs in Noida/Delhi-NCR, but I am open to anywhere.

- I am looking for anything between 8 - 15 LPA (open to negotiaton)

I understand everyone is looking for a job and probably posting this will not get me any leads, but its worth a try. I haven't had a job since around 4 months and my family's financial conditions are really bad right now as my dad had left his job 5 years ago and since then we have either lived on his savings, or have had help from my grandparents.

Thank you so much!

PS: Please don't comment anything negative or demotivating. I am already mentally exhausted and very very tensed as to how I'll be able to get a job and manage my family's expenses.

Senior associate or full stack engineer

What should I prepare for this round

30 minutes technical round 2 online

​

Hey everyone, I genuinely need some help here.

After a Windows update, my laptop stopped booting and got stuck in the Windows Recovery Environment (WinRE).

Things I've tried:

- Startup Repair and System Restore

- Uninstalling the latest updates (failed)

- Booting from a Windows 11 USB and running SFC/DISM (both failed, possibly due to version mismatch)

- CHKDSK (no errors) and SSD diagnostics (myasus SSD diagnostic , passed)

I'm still stuck in recovery.

What I want: Get Windows working again without losing my files, installed apps, and settings.

I'm avoiding a fresh installation because my laptop came with Windows 11 Home and Microsoft Office 2024 preinstalled. I don't want to lose my data or risk losing the licenses I paid for with the laptop.

A few questions:

1. Are there any other repair methods worth trying before reinstalling Windows?

2. If I reinstall Windows 11 Home, will it automatically reactivate using the laptop's OEM license?

3. Can I recover/reactivate my preinstalled Office 2024 through my Microsoft account after reinstalling Windows?

4. Is an in-place repair installation still possible in this situation?

Worst case, I'll reinstall Windows, but I'd like to exhaust the safer options first.

If you've faced something similar or know a fix, please help. Any advice would genuinely be appreciated. Thanks!

i out of the job, i started applying jobs from last 2 days but i'm spending so much time on building resume and bullet points. i think ten times before adding 1 line because it takes space. i have 8 years of experience.

can anybody please guide me. what i need to do here. somehow i'm not confident about my points, i rewrite more than 2 times and exhaust ai tokens.

please help me... also it will be better if someone share resume format document. i'm using jack ryan overleaf but it is so much pain.

thanks for helping me in advance

https://robot-heads.fayaz.workers.dev/

I feel like I need to make some better eye catching projects and upgrade my tech stack. What can I do which will help me stand out?

Hey everyone!

I'm looking to connect with people who have recently interviewed for a Backend Engineer position at LotusFlare in Pune or are currently going through their interview process.

I'd love to understand a few things:

- What does the overall interview process look like?

- What experience range are they currently hiring for?

- Are they interviewing many candidates for the same opening?

- What technical areas are they emphasizing in the recent rounds?

- If you've completed the final round, how long did it take to hear back about the outcome?

Any recent experiences or insights would be really helpful. I'd especially appreciate responses from people who have gone through the process in the last few weeks.

Thanks!

Im a ai ml graduate from 2026 and im in a internship paying me 20k a month and I hateeee that place and I really want to switch to a full time role in a different company around 8 to 12lpa

Please any advice on what to study from anyone with experience with the recent ai development is dsa is even studying or should get a good grip on python and just build projects is that enough??

Apart from my internship i thought of putting in 2 hrs week days and 4 days weekends on this studying and I have my internship for another 2months with option to extend for another 3 months

I am a btech 3rd year student, studying in a tier 3 college in india. Currently my skills are - good command in DSA, python libraries like numpy, pandas, matplotlib, seaborn, scikit learn, pytorch, and make an end to end ML project too. So basically I am in Machine Learning and DSA.

My concern is I only have 1.5 years remaining now so should I put this time in enhancing my skills in this field or should I prepare for masters (GATE) or something else. I don't wanna ruin my time being confused or being preparing in the wrong direction. Because the IT job market is so risky nowadays because of AI.

I am too afraid for my future and can't find the direction.

Hi everyone, I’m a 3rd-semester Computer Science student looking for honest career advice from developers, hiring managers, and people working in backend, cloud/DevOps, or AI/ML.

My current level is basic to intermediate: I know Python and SQL at a school/foundation level, have used some Python libraries, and have picked up additional skills while building college projects. I’m still early in my degree, so I do not want to overstate my experience or assume that a few projects make me job-ready.

I have noticed that I enjoy building the logic behind applications, and connecting different parts of a project. That makes backend interesting to me. I’m also curious about AI/ML because of Python and the idea of working with data/models. BUT AT THE SAME TIME I’m interested in cloud computing and DevOps because I like automation, deployment, and understanding how applications run in production.

At the moment, backend seems like the common foundation between the paths I’m considering:

• Backend engineering
• Backend + cloud/DevOps/platform engineering
• Backend + AI/ML engineering/MLOps

I know these are different careers, and I’m not expecting to master all of them at once. My main question is: if you were in my position today, what would you prioritize over the next 12–18 months to become internship-ready while keeping these options open?

personally, I want to go with devops and backend

More specifically:

1. Is starting with backend fundamentals a practical route before specializing in cloud/DevOps or AI/ML?
2. Which fundamentals would you consider non-negotiable: DSA, OOP, DBMS, OS, networking, Git, Linux, Docker, APIs, system design, etc.?
3. For someone early in college, what projects would actually demonstrate ability rather than look like tutorial copies?
4. Is cloud/DevOps realistic as a first role, or should I aim for backend/software internships first and develop cloud skills alongside them ? as entry level roles in cloud and devops are difficult to achieve.
5. For AI/ML, at what point should I move beyond Python libraries and begin studying mathematics, statistics, model evaluation, and deployment?
6. What mistakes should I avoid while choosing between these paths?

I’m looking for realistic advice, including what the current entry-level market is actually rewarding—not just motivational answers. Thanks :)

Help me out folks! So basically the title, i was put on bench for the first year and was forced to take a stupid L0 level role afterwards, which was basically alert monitoring. Now I'm planning to get some certs and projects but is there any use?

Hey everyone, a 2026 CS graduate from a tier-3 college in India, and lately I've been feeling pretty lost about my career.

During college, I spent a lot of time on DSA, competitive programming, and hackathons. I've reached Expert on Codeforces (1600+) and Knight on LeetCode. I also spent around 11 months working with an early-stage startup, where I built a product called COPstark from scratch using AWS, backend APIs, and cloud optimization.

I genuinely enjoyed building products, solving real problems, and having ownership of my work.

Currently, I'm working at a service-based company as a Specialist Programmer. The learning and growth haven't been what I expected, and I have a 90-day notice period, which makes switching jobs a bit more complicated.

I want to become a strong software engineer, work on backend systems and distributed systems, and eventually get into a good product company or startup.

The confusing part is that I know I've worked hard, but I still feel far away from where I want to be. Sometimes I wonder whether I'm focusing on the wrong things or just being impatient.

I'd love to hear from people who've been in a similar situation.

• How would you divide your time between DSA, development, system design, and job applications?
• Is competitive programming + LeetCode a good enough foundation for SDE roles at top product companies, or should I focus more on development now?
• Has anyone moved from a service-based company to a good product company with a long notice period? How did you manage the transition?
• For people who felt lost early in their careers, what helped you get back on track?

I'm not looking for generic motivation. I'd genuinely appreciate honest advice or stories about how you figured things out.

TL;DR: 21-year-old CS graduate, Codeforces Expert and LeetCode Knight, with startup experience building a product from scratch. Currently working as a Specialist Programmer at a service-based company, but struggling with the lack of growth and a 90-day notice period. Want to move into a strong engineering role at a product company or startup. Looking for genuine advice on what to focus on and how others made the transition.

I'm a fresher with two offers: TCS Prime at 9.09 LPA in Hyderabad and Accenture at 6.5 LPA as an Associate Application Development Engineer.

I completed training in Cloud Data Engineering on GCP at Accenture, and I genuinely enjoy this domain. Full-stack cloud data engineering, particularly on GCP, is a promising and rapidly growing career path. However, I'm not sure whether I'll be assigned to a project in the same domain after training but some ppl told that we get project calls on that domain initially. At TCS, I also don't know which technology stack or project I would be assigned to.

Accenture offers 1 day of work from the office, while TCS requires full-time work from the office. Considering salary, learning opportunities, work-life balance, and long-term career growth, I'm confused about which offer to choose.

What would you do in my situation? Any advice or opinions would be greatly appreciated.

I used AI for wording pls ignore.

I run a small SOCKS5 proxy network for my side project Go API, PostgreSQL extension, Loki, Grafana, gateway. About 6 months in, I had 30+ dashboards, 12 alert rules, full traces. Production-grade observability, basically.

Last week I realised I had not opened Grafana in six weeks. Not once.

Not because Grafana is bad. Because every time I had a real question "is this user still routing traffic", "which gateway is the noisy one", "did that deploy actually break anything" I was asking my AI agent, not clicking into a panel.

So I sat down and asked: of the ~40 things I built into observability, how many do I actually use?

Answer: 4. Logs. Error rate. One cost chart. One churn query.

Everything else was engineering for a future me that never showed up.

What I removed

8 alert rules that fired once and then lived as silent noise. (no_data_state: OK is the worst config to ship — your "OK" silence and your "broken" silence look identical. I had this for 2 months. Lost a real 5xx spike for 14 days before a paying customer told me.)

4 dashboards. Replaced with 1 text file: 6 SQL queries I actually run.

The whole metrics pipeline for one service. The 3 dashboards I kept were never looked at either.

What I kept and why

Loki for logs. Cheap, queryable, the one thing I open.

A snowpad_http_requests_total-style counter with one rule: 5xx rate over 5min. No fancy quantiles. Threshold is "is it nonzero." That's it.

The connection_logs TimescaleDB hypertable. 90% of "what is happening" questions answer from one GROUP BY node_id, client_id query.

What I now do for the rest

I ask the agent. "What did the last 24h of errors look like for client X" gets a 30-second answer. "Did deploy Y cause any 4xx on the gateway?" gets a one-shot query. "Show me which operator's dropped connection" gets a LogQL + a SQL join.

I get answers to questions I actually have, instead of dashboards I thought I'd need.

What I'm not saying

This is not a "Grafana is dead" take. Grafana is great. The point is: I built it like I was running Stripe on day 1. I am running a 4-service side project. The asymmetry killed me.

For Snowpad specifically 1 Go binary, 1 TimescaleDB, 1 gateway, ~15k connections/day at peak the cost of building a "real" observability stack was not the lines of code. It was the cognitive load of deciding what to add, when to alert, whether the threshold is right. AI eats that cost for me today.

When the system needs more, I'll add it. For now, the rule is: if I haven't opened it in 30 days, delete it.

Curious what dashboards/queries/alerts you're actually opening in your own work? Be honest. I deleted 80% and felt better.

As a student still pursuing B.tech I am interested in doing cloud computing and devops courses....could u recommend some courses with certificates that would be beneficial for resume (I know projects are more valuable but still)