1.) The craft has now shifted to being able to write precise, concise, human readable specification documents which can be translated by the LLM model into clean and well structured code efficiently.

2.) The challenge is, LLMs do not work like compilers i.e they are non deterministic by nature and hence it is difficult to predict what it will generate when the prompt becomes more abstract and detailed.

3.) I fall in the mid-level engineer category and I find it so difficult to get the LLM to write concise and clean code for a task.

4.) Management keeps saying that I need to loosen heavily around the structure, design and code cleanliness and I think that is a recipe for disaster.

5.) I am young and I find myself once again confused and anxious about being in the right career

Question 1: In your workflow, how are you getting IDE agents to write precise, concise and well-structured code?

Question 2: If you create detailed specification documents for the LLM, how much time do you actually spend in creating the documentation itself as compared to iterative-prompting technique (you write prompt, code gets generated, you review it, you again write prompt and repeat)?

Question 3: How much time do you spend reviewing the code as compared to you would have spent in iterative-prompt-review technique?

Thanks.

​

Hey !!!

If you land at Kempegowda International Airport (BLR), you already know the pain: an Uber, Ola, or BluSmart to places like Indiranagar, Koramangala, Whitefield, or HSR Layout routinely costs anywhere between ₹1,000 to ₹1,500+.

Most of us end up taking the cab alone with 3 empty seats.

To fix this for myself and fellow travelers, I built a lightweight, privacy-first web app to help travelers find co-passengers heading to the same neighborhood and split cab fares on the spot.

How it works (Zero Friction):

\* No Signup / No Login Required — No passwords, no phone numbers, no forced downloads.

\* Check-in in 5 Seconds — Select your terminal (T1 or T2), choose your drop neighborhood, and optionally enter a nickname.

\* 45-Minute Live Matching — See co-passengers who landed around the same time heading to your area.

\* Live In-App Chat — Coordinate a quick pickup spot (e.g., "Near Pillar B3 at T1") without giving away personal contact details.

\* Auto Clean-up — Tap "We Paired Up!" to exit the queue once you find a co-passenger, so the active list stays fresh and clutter-free.

The app is completely free to use.

Try it here: Bangalore Airport Cab Share

Tip: Bookmark the link or add it to your phone's home screen so it's ready to use as soon as your flight lands!

Would love for the community to try it out on your next flight into BLR and drop any feedback or suggestions below! Safe travels! ✈️🚕

I want to build a career with high earning potential and long-term growth.

For people earning ₹50 LPA or more:

What's your educational background? IIT/NIT or a regular college?

What field do you work in, and how many years did it take to reach this level?

What skills or career decisions helped you the most?

Is an MBA worth it for reaching this salary range? Does the college brand matter more than the degree itself?

With AI changing the job market, which careers will remain valuable and pay well over the next 10–15 years?

If you were starting your career today, would you pursue an MBA, focus on technical skills, or choose another path?

I'd appreciate honest experiences and practical advice. Thanks!

I recently interviewed for a Machine Learning Engineer (IC4) role at Coinbase in Bangalore through a referral. Here is my experience.

My background:

• 2.5 years of experience at a product startup

Online assessment
First, there was an online psychometric and reasoning test, followed by a recruiter call.

Then came a CodeSignal assessment with three coding questions:

• A simple DSA problem
• Implementing bagging (bootstrap aggregation)
• Implementing Naive Bayes from scratch using only NumPy

Domain round
This round covered basic ML concepts and coding. I had to implement gradient descent for linear regression and answer questions about loss functions, parameter initialization, and batch vs. stochastic gradient descent.

There was also a SQL section, which was honestly my weakest part. I rarely use SQL, so I struggled quite a bit with the queries. An AI assistant was available for checking syntax, but you could not use it to generate the entire solution.

Tech Execution round
This was a practical ML problem. We were given a heavily imbalanced fraud detection dataset in CSV format with more than 45 features. The task was to build a model and justify the decisions around feature selection, missing values, class imbalance, and train-test splitting.

Behavioral round
The hiring manager asked about my previous projects, professional experience, why I wanted to join Coinbase, and a project I was particularly proud of.

you're trying to keeping up with all the AI and tech stuff and feels impossible, as everything drops on X first and there's way too much of it, even doomscrolling x, you will miss a lot.

made a daily newspaper for it.

new edition every morning, 5 min read. headlines are jokes, news is real. helps you stay up to date about anything that happens in tech/ai world. without having to waste time doomscrolling.

**PwC vs Deloitte USI: which is better for work-life balance, hikes, and variable pay?**

I have two offers for an AI Architect role (India) and need help choosing. I have 9.3 years of experience in total.

**Offers:**

1. **PwC**
   * Designation: Senior Manager
   * Salary: 46 LPA fixed + up to 35% variable

2. **Deloitte USI**
   * Designation: Manager
   * Salary: 50 LPA fixed + up to 10% variable

I'm drawn to the Senior Manager designation at PwC, but I'd like to hear from people who have worked at either firm.

**What I'd like to know:**
* Which has the better work-life balance?
* How are annual hikes and promotions at each?
* How reliably is the variable pay actually paid out, and at what percentage of target?
* Does the Senior Manager title at PwC mean a real difference in role and growth, or is it just a title?

Thanks in advance!

Both amazon shopping and primevideo has terrible search. Flipkart has way better filters and search than amazon. In amazon applying more filters gives even more results 😂. Combined with loading results after adding each filter makes UX very bad.

Why the hell the company with so much workforce and known for bad work life balance not able to fix it?

Hey everyone!

I’m a 2025 AIML graduate based in Bangalore. I completed an internship at a company, but the role wasn’t very technical, and taking up a full-time position there didn’t seem worthwhile for my career goals.

I’ve been unemployed for the past 5 months and have been trying to find a job, but unfortunately, I haven’t received many interview calls. I’ve had a few assignments here and there, but nothing that has led to an actual interview.

I’m now considering joining a training institute with placement assistance, and QSpiders/JSpiders is one of the options I’m looking into. I’m particularly interested in learning DevOps and trying to get into a technical role.

I wanted to ask people who have experience with these institutes:

Is QSpiders/JSpiders worth joining for DevOps training?

How good is the teaching, especially for someone starting from scratch?

Do they genuinely provide placement opportunities, and how good are the placements?

What is the current fee structure for the DevOps course?

Are there any other institutes in Bangalore that you would recommend over them?

I’d really appreciate honest reviews, especially from people who have studied there or got placed through them.

Thanks in advance for your help!

Hey everyone,

I currently earn ₹16 LPA CTC and have around 5 years of experience. I have two options from the same company, and I’m genuinely confused about which one to choose.

Offer 1: Kolkata
CTC: ₹22 LPA
Closer to my hometown, although I would still need to rent a PG or flat in Kolkata because my home is quite far from the city.
Lower cost of living.
The company’s Kolkata office is relatively small, so there may be fewer opportunities to network and collaborate with other people.

Offer 2: Bengaluru
CTC: ₹26 LPA
Higher salary, but obviously higher living expenses.
A much larger office with more people to work with, learn from, and network with.
Potentially better professional exposure, collaboration, and opportunities to grow my career.
I feel that moving to Bengaluru might push me out of my comfort zone, help me socialise more, and allow me to focus more on my career.
My biggest concern with Bengaluru is being far away from my family. Realistically, I might only be able to visit home once or twice a year.
On the other hand, I’m thinking about the long term. Joining at a higher package could potentially help me negotiate a better salary during my next switch. I also feel that being in a larger office with more professionals could open up more opportunities for learning, networking, and career growth.
Kolkata would offer a more comfortable lifestyle and potentially better savings because of the lower cost of living. However, since I’ll have to rent in either city, the difference in living expenses might not be as significant as it initially seems.

What would you choose in my position?
Is the additional ₹4 LPA worth moving to Bengaluru, considering the higher expenses?
Does working in a larger office actually make a meaningful difference to networking and career growth?
Would you prioritise family proximity and savings, or take the risk of moving to Bengaluru for potentially better long-term opportunities?

Thanks!

Hey everyone, I'm a recent graduate working as a software engineer. tbh grateful for where I am financially but lately I've been questioning whether I'm growing enough technically.

I'm working in an early age startup, doing a mix of frontend and backend work(even though i am primarily a backend engineer) including building a Java Spring Boot microservice. The work is interesting but there's limited technical mentorship and I often have to figure things out myself. Also I feel there is no good technical review , mentorship sth. Even I feel excluded from people in my team like not able to connect with anyone tbh.

The bigger concern is work-life balance. 9-10 hours everyday work ,sometime weekends(lol ig everytime), leaving me with little time to learn, pursue hobbies or spend time with family.

I want to become a strong engineer but I also want a life outside work.

I am also much dependent on claude now due to tight deadlines/expectations, I sometimes don't even see the code just see if it's working or not. I know I am in a bad situation but what to do? please someone help me out

For people who've been in the industry longer, how do you decide whether to be patient and grow in your current role or look for a better environment?

Like currently in an early age startup but in future(after 1 year hopefully) want to be in good product based company with good work life balance.

Tech stack: java,spring,python, AI side - Langchain,Langraph,RAG, react(basics)

So yesterday I had my first ever interview and I can believe that I bombed it.

I knew the answers before going in the cabin as soon as I reached the cabin my mind went blank the technical lead asked me the same question twice as I was telling everything related to it but not the defination.

The HR started to ask questions, about future plan and i directly said I would like to be in this company for atleast 2 years.

When I came out of the office i realised all of my mistakes and that made me realise how badly I answered the interview. There were more questions which I answered badly like really badly. I atleast somewhat answered the technical questions but i checked all red flags while answering to HR.

In the end when they asked me if I have question for them I asked question to Technical lead which pissed him also i guess.

And now I am thinking about it continuosly and don't know what to do.

Please if anyone have experience with such situation tell me how did you deal with it.

I am currently earning around 13 CTC in a small service company(1500 employees).

I do not see any openings for .net developers, while I see relatively a lot more openings for java developers.

Objectively

1) Where am I financially, in terms of salary.

2) Is there a future for .NET ,

3) if you are a net dev, what are your plans, salary and experiences.

Yesterday was my LWD after getting laid off from a startup. I worked as a Frontend developer for 2 years there .

I don't know what to do ? The gap in my career is killing makes me feel like a failure.

I feel like a failure. Got into 5 interviews in between 2 telephonic and 3 interviews.

Bombed 2 of them.

It's hard to sit at home in your mid 20's

If you're from Mumbai or hiring anywhere and hiring for a Frontend dev with 2.2 years of exp.

The salary expectation of mine is 6 LPA

Thank you

Edit : Thank you each and every one out here. I really appreciate your words here. I'm feeling much better. Hope to get another job soon 💫

I run a small job board for engineering students and freshers, so I filter a lot of postings. Between 25 Sep and 13 Oct I looked at 20,118 engineering jobs in India that were tagged "Entry level", all at established companies (around 1,900 MNCs, product companies and funded startups, no random agencies).

Here's what they actually were:

- 43% had Senior, Lead, Principal or Staff in the title

- 7% were level II or higher (SDE III, Engineer 2 and so on)

- 6% were Manager roles, another 6% Consultant or Architect

- 18% asked for 2+ years in the description, and 6% asked for 5+

- 6% were marked Mid-Senior on the posting itself

- About 10% passed every check and were genuinely open to a fresher

Real titles that were tagged entry level: "SDE III - Backend", "Red Teaming - Manager", "Senior Consultant", "Informatica Developer | 4-7 Years".

What helped me filter:

1. Search with fresher words instead of trusting the filter: "SDE 1", "Associate Software Engineer", "Graduate Engineer Trainee", "2026 batch", "fresher"

2. Skip anything with II/III, Senior, Lead or Manager in the title, whatever the tag says

3. Ctrl+F "years" before applying. Most of the fake entry-level ones say it in the second paragraph

Happy to answer questions about how I counted.

Curious to see how other developers set up their work desks. Do you use a single monitor or multiple monitors, a standing desk, a mechanical keyboard, or any other accessories that make your workday better?

This project is based on distributed architecture. I have used Node, redis, postgresql and BullMQ.
This also supports scenarios like when redis fails how the workers will handel the exit. would love to have suggestions what else can I add. I have 4 years of experience. Is this good project for resume. I am targeting service companies mainly.

LInk to the project

By god grace I landed into a startup like company ( old company but less than 15 employee).
My work is primarily Java backend and little frontend with NextJS.
Need to work and maintain code on ERP products.

I do understand the code and they allow AI assist code.
Problem is I find that I am doing most of my work with AI. I don't feel like learning. If I try to write code with hands , it will take more time.

My goal is to become great at backend enough that I won't need AI if AI bubble pop.

What should I focus on ?
what should I learn down the road in 2 yr time.
What would you expect from Java full stack from 2-3 yr exp.

note: pay is peanuts but I am more for learning.

With AI, building a software becomes cheap. Anyone can built their own software. So the software commodity has become very cheap, and anyone around the world can built it quick.

When such a commodity can built for almost free and by anyone, how will you see the existing tech companies survive ? how will software engineers survive ? also there is exactly no real skill acquiring while doing any project at a company, one can be easily replaceable with anyone anytime. There is no difference between an software engineer working at google vs any other company, both use AI , and learnings are same.

what would be the future jobs of software engineers? if they transition to a new role, what would be it?

how will be the software industry would look like ? will it be more decentralised with very low pay?

imagine getting an internship on the moon and somehow being responsible for keeping the entire station alive..

made a small browser game around that idea using three.js...nothing special though.. a simple one..

you get 7 minutes to manage power failures, oxygen levels, overheating systems, and a rover that keeps causing problems. ignore something for too long and things can go very wrong.

this is just v1, something i made in my free time... nothing too fancy.., just wanted to experiment with making a small 3d game... it's still rough around the edges and i'd love to know what could be improved.

currently playable only on desktop/laptop.

it's open source, so feel free to suggest changes, report bugs, or contribute. also curious to see your highest scores if you give it a try :)

play: https://moonbase-intern.vercel.app

github: https://github.com/tropicalbee/Moonbase-Intern

if you like the project, consider giving the repo a star ⭐ or forking it...! would really appreciate the support... 🙏

Hi everyone,

I’m currently working as a QA Engineer in India with 1.7 years of experience. My experience includes manual testing, Playwright with TypeScript, automation framework development from scratch, basic API testing, and SQL fundamentals.

I want to transition into a Data Engineering role after completing my 3-year employment bond. I’m using this time to build the required skills and practical projects.

My planned roadmap:

• Python, SQL, PostgreSQL, Git/GitHub
• Pandas, ETL/ELT, data modeling, and data quality
• Linux, Docker, Apache Airflow, and CI/CD
• Azure or AWS, Spark, and PySpark

I plan to build an end-to-end pipeline project covering API data extraction, data cleaning, incremental loading, PostgreSQL, scheduling, logging, and error handling.

I’d appreciate your advice on:

1. Is transitioning from QA Automation to Data Engineering realistic?
2. Can my QA experience provide an advantage?
3. Is my roadmap in the right order?
4. Which cloud platform should I learn first: Azure or AWS?
5. What projects and skills would help me get my first Data Engineer job in India?

I’d especially appreciate advice from people who have made a similar transition.

Thanks!

Hi everyone,

I was laid off in august from an MNC where I worked for 1.7 years as a software engineer. It is an SBC that's why you have to do whatever you're asked to do. For 5-6 months I did data analytics, then genai engg (but used copilot extensively, so no learning), then hardware device automation testing. It feels like I didn't do anything to its fullest to justify my 1.7 yoe. Jack of all, king of none.

But I want to go into AI engg, built a couple of projects myself but used ChatGPT alot so that I can add something to my resume quickly. This habit made me lose contact with coding. And tbh I don't enjoy writing code at all. I like solving problems, startegising but not being the one doing the implementation part.

I interviewed at 4 companies and bombed 2 of them in the last round and the other 2 due to experience mismatch. The main issue is I get nervous in the interview and whenever they ask to write a code or tell them the output or debug a code snippet that's when it goes downhill bcoz I lost contact with coding. And I have a hard time coming up with concise, relevant answers too, I just talk rubbish in the interviews.

I got referrals to some companies but haven't heard from them.

This is so depressing. Idk where I'm lacking. Is it my resume, my lack of technical experience, or nervousness.

Please if someone can give me referrals, help me prepare for interviews, take mock interviews, give some advice, anything that'll help, it'll be really great.

Please help. Thanks

I received a recruiter email mentioning my Prometheus GitHub work and offering a remote contract. Is Interna legitimate, and how did they find me?

I work in a video streaming company and I'm actually fed up of the coding practices that are being followed! There is literally direct prompting to AI and it gives code and I review it and test it and its done. No research no problem solving! Just dont feel like doing it.

I'm thinking of transitioning into system programming since I think it more critical and I think its more about less amount of code and more amount of problem solving! Any advice on whether I should do it or is it the same scenario there as well?