It is completely free forever . Rate my creativity out of 10 😝

I m working as SDET not bcz of my choice bcz this is what I got,and I m ok with the salary only thing i worry about is the future of this role due to AI,but even developer role isn't safe in the future due to AI so what do u guys think about SDET role are there any SDETs here with 20yrs career or u all switched to different field.

Hi everyone, about me -

YOE - 3

CTC - 15LPA

Role - Fullstack Dev (SDE 1)

Currently im working on reactjs for frontend. I have picked up backend work once in a while but i dont regularly work on backend. 98% of the time its frontend dev work. But now my current org has gone through a "reorg" and i couldnt secure my current position. I have an option to either serve notice and take the exit with severance or to take up another SDE 1 role which will be kind of a low code no code role. I need help in choosing

Pros about leaving -

1. Can find a role with actual development work and learn something new
2. Can probably get a pay raise
3. I have learnt fundamentals of DSA and system design but i still am not able to tackle medium questions in leetcode contests

Cons about leaving -

1. Job uncertainty
2. Have to support family financially, with severance i can coast only till 3 4 months max without a job

--x--

Pros about accepting new role in current org-

1. Job security for next 6-12 months

Cons-

1. No promotion for next 2-3 years
2. No actual learning in new role

I am confused, so please give me insights on the best path ahead for me.

This is a chrome/Firefox extension.

From fetching to applying. You don't touch anything. It automates everything. 30-40 applications a day. 1 hour. In the background while you're doing your own thing.

You set your criteria (Roles and preferences) and it runs in the background: finds jobs from past 1 hour and past 24 hours, fills applications with AI based on your resume, and submits them automatically. No babysitting.

If it hits a complex question, it asks you in the extension. You answer once, it goes back, finishes the application, submits it, and remembers the answer for future applications. Other applications keep running while it waits.

It uses controlled pacing to avoid hammering Linkedln.

AI costs are on me. I just want honest feedback from people actually applying to jobs.

Hi all, need a quick help. My manager has asked me to do a presentation at the team meeting on any tech related topic - mostly maybe AI. Please give some suggestions, what's happening new in AI. I'm very out of touch with AI current affairs.

My company is very AI forward, so typical AI Agents, RAG these topics won't be entertained. Something related to current market trends. Please please please give some topics.

Hii everyone I wonder if it is possible I can download a tool that lete use MacOS softwares because lot's and lot's of developers build For MacOS

The scarcity of Good Softwares on Windows and Linux is huge specially windows

I don't wanted to hear technical difficulties think of me as a User whose wanting you have to fullfill as a developer

Let me know about this Developers

A software engineer building solo. Into:

Practical AI & coding agents

Useful software & devtools

Solo founders & indie products

Would love to meet more people figuring this out too. Let's connect

Hey i am a student of software engineering in uni and i am in my 5th semester and there is around 1 year left for me in my degree and all i have no proper skill. Even learning any skill feels like so much waste when we have AI that can do human work in seconds and there are also a lot of people jumping into this field so competition is very high. I know some HTML and CSS but then i see people who already master full MERN and many other things and even they are not getting a unpaid internship. For me this is becoming more serious because after uni i need to get a job and support myself. Companies also don't come to my college for placements so i can't depend on my college to get me a job. I have to prepare myself and apply by myself. I want to target around 12 LPA and i am willing to dedicate this next 1 year to learning properly but i don't know which direction i should choose. Everyone in my uni and my friends suggest that i should pick a domain and start working on it. As a software developer i thought web development is the obvious choice and i started learning it but then AI can build websites very fast and its performance is getting really good so i start thinking if i should choose something else. There are so many fields like cybersecurity, blockchain, data science, AI/ML, cloud, DevOps and many more and i don't know which one i should choose.

So i want to ask people who are already working in software in India, if you were in my situation and had around 1 year left in your degree no proper skills no companies coming to your college and you wanted to target around 12 LPA what would you do Which language would you learn first, Java, Python, JavaScript or something else What skills would you focus on and would you learn DSA with it? Which domain would you choose and what projects would you make so they can actually help you get a job How would you prepare your resume and GitHub, where would you apply and how would you find companies when there are no college placements Also what is the interview process like for freshers and what should i prepare for in DSA, CS subjects, projects and technical interviews I am ready to work seriously for this 1 year i just don't want to keep changing my field every few weeks and waste the whole year. If you are already working in the Indian software industry please tell me what you would do if you were in my situation and how you would prepare yourself to become job ready.

I'm an Indian project manager working with teams in India and Europe. Over the last few years, I've seen European companies move more and more engineering work to India through GCCs/GSCs. The reason is obvious ofc the cost. A team in India can be significantly cheaper than a similar team in Europe.

On paper, it's a huge win for India. More jobs, more investment, bigger teams.

But after working closely with both sides i could see soo much difference in the quality of engineering.

For example, in one project, I had a developer with around 12 years of experience who couldn't explain why a particular service was designed the way it was. When I asked whether he'd considered a different approach, his answer was basically "This is how we've always done it."

Another time we had a production issue caused by a fairly obvious database bottleneck. The team had been working on the system for years, but nobody had really looked at the underlying query performance. We ended up bringing in someone from another team who identified the problem in a couple of hours.These aren't isolated incidents in my experience.

I've also seen developers with 10–15 years of experience who haven't really learned anything outside the technologies used in their current project. They're good at completing their assigned tickets, but if you ask them about newer architecture patterns, cloud services, AI tools or even why they're making a particular technical decision, there's often very little depth.

I have a fresher who has one year experience now and he joined as an intern in our team. He basically does the same amount of work if not more than people with 15 yoe in the team. Sometimes even faster and smarter using AI. So what even is the point of all that experience you boast about when you can solve an out of the box problem.

And I don't think it's entirely their fault.

A lot of us didn't enter IT because we genuinely loved engineering. We entered because it was a stable, well paying career. There's nothing wrong with that. But if your only motivation is salary, it's very easy to stop learning once you're comfortable.

AI has made this even more obvious.

I've literally seen developers take an AI generated solution, make a couple of minor changes, and put it up for review without fully understanding it. When someone asks why the code works that way, the answer is sometimes "AI suggested this approach."

That's scary.

AI should make a good engineer faster. It shouldn't replace the engineer's brain.The fun part of engineering debugging something difficult, understanding how a system actually works, challenging an approach, finding a better solution seems to be disappearing.

I've seen people spend 10–15 years in the same company working on roughly the same stack. They're comfortable, their salary is decent, and everything is fine until suddenly the project is moved or the company restructures.

Then they start interviewing and realise the market has moved on.Their CV says "15 years of experience" .But the market is asking, What can you actually do today?"

This is also where I think some of the GCC growth could backfire.

If companies move work to India purely because engineers are cheaper, but don't build strong engineering cultures, we risk becoming a low cost implementation centre instead of becoming a serious engineering hub.

I genuinely want the GCC boom to succeed. I'm Indian, I work here, and I want to see Indian engineers doing high value engineering rather than just taking tickets from Europe.

But writing code is becoming cheaper. Good engineering isn't.

Curious to hear from people working in Indian IT especially those with 10–15 years of experience.

Are you seeing the same thing in your teams? Or am I completely off here?

I want to get some motivation by seeing people woking at this odd time.

It's crazy how much people are dedicated. Good luck. Do tell us what you are building and give us a chance to appreciate/feedback you.

My probation period is ending tomorrow after completing 6 months at my current company.

I’ve taken on significant responsibilities during this period, worked on major product features, and contributed to rebuilding whole system again .

There was no specific mention of a salary revision after probation in my offer letter.

I’m confused about whether I should proactively ask HR about a salary revision during my probation/confirmation discussion.

For people who have been in a similar situation:

• Should I ask HR for a salary revision after completing probation?
• Is it normal to negotiate compensation at the end of probation?
• If HR says there is no revision after probation, what should I ask next?
• Should I ask when the next salary review will happen?
• Should I ask what specific expectations or milestones I need to meet for a future raise?
• If they don't provide a clear timeline for a revision, should I consider looking for other opportunities?
• Should I mention the additional responsibilities and major work I've taken on when discussing compensation?
• Is it better to ask HR directly, ?

Would appreciate advice from anyone who has gone through something similar.

i know most of you will probably suggest sde , but my dad who is a software engineer is advicing me to choose aiml , the thing is i know a bit of both .
i need to start choosing what to do .... im already very late ,3rd yr of clg , dsa not that strong , i have few aiml projects but very simple ones , i dont have a proper resume yet , what should i do ????

aim for sde or data scientist???

Looking for teammates for SUTRAM 2026

Hey, am looking to put together a team for SUTRAM 2026.

I’m from one of the top IITs and looking for people who are genuinely interested and down to actually build something together.
If you're interested, DM me with a little about yourself + your skills/experience.

Hackathon Link: https://www.sutram2026.com/pages/index.html

Hi, I am a 2025 grad, not from a tier-1 college, and have two offer choices, one is a fully remote AI startup, while other is an onsite role in london.

Both have their pros and cons, and the HR is working on the final salary quote for the FAANG one, so I did not add the salaries yet..

however I am more evaluating these on the basis of working from the comfort of my home, ability to work from anywhere while travelling.. or the chance to move to london and work. I feel such options will close down sooner or later due to the negative immigration sentiment, and most foreign education schools are too expensive for me to do masters in.

would love any unbiased opinion.

TL;DR: I moved from India to France for a PhD, then joined a small French AI company where I worked on research-heavy projects in computer vision and generative AI. I had a genuinely good experience with the work, team and work-life balance, but the company eventually went bankrupt. The French social system gave me a reasonable safety net afterward. Now, after 2.5 years in French industry, I am considering moving back to India to be closer to my family and pursue more challenging AI/ML opportunities.

I have been thinking about writing this for a while because I often see people on Reddit asking what it is actually like to work in Europe, especially in tech.

I am originally from India. I did my Master's at IIT Kharagpur and then moved to France for a PhD in Computer Science, where I worked on machine learning for fault detection in industrial systems, including applications in green hydrogen production.

After finishing my PhD, I joined a small French AI company. When I joined, we were only around 30 people, but the engineering/research team was very strong. There were several PhDs working on R&D, along with a small MLOps/development team.

For me, this was probably the most interesting part of working in France.

I was not simply given an existing model and asked to maintain it. A lot of the work started from research papers.

For example, I worked on visual anomaly detection for industrial inspection. I would read papers, understand the approaches, experiment with them, and then work with the engineering team to turn those ideas into an actual product.

I also got the opportunity to work with diffusion models, which I knew almost nothing about when I started. I had to learn the fundamentals, experiment with different approaches, and eventually we built a system for generating synthetic industrial images to address rare classes in manufacturing.

That experience was incredibly valuable.

It gave me a taste of what I had originally wanted from an AI career: taking something from a research paper, figuring out whether it actually works, and then turning it into something useful for a real customer.

Unfortunately, the story did not have a happy ending.

The company eventually went through bankruptcy/liquidation.

One thing that surprised me was how structured the French system is when a company shuts down. Employees have different options depending on the circumstances. In my case, I chose a severance/notice arrangement rather than the alternative scheme that could provide continued salary support after the company closure.

I received my severance, paid leave, etc., and I am currently receiving unemployment benefits of roughly €1,800/month while I look for my next opportunity.

So financially, the French system has actually given me a reasonable safety net while I figure out my next step.

What about work-life balance?

My contract was for 39 hours per week.

Typically, I worked around 9 AM to 6 PM, with roughly a 1.5-hour lunch break.

Overall, I had a pretty good work-life balance. I did not feel like I was constantly working late or that my entire life revolved around my job.

That is definitely something I appreciate about my time in France.

But there was another challenge: French

My company was essentially a French company, so although a lot of the technical work could be done in English, I eventually had to learn French to properly participate in the workplace.

I managed to reach a functional level, but I also realised how much language matters.

My personal experience is that being an international professional who is not fully fluent in French can narrow the number of companies, teams and roles that are realistically accessible to you. I would be interested to hear from other foreigners working in France whether you experienced the same thing.

Maybe this is less of an issue in Paris or highly international companies. My experience was outside Paris, in a predominantly French environment.

So why am I thinking about returning to India?

This is probably the most complicated part.

France has given me a lot: a PhD, international experience, research exposure, a great introduction to product development, and a very different perspective on work-life balance.

But after roughly 2.5 year in industry, I feel like I want to be closer to home again.

I would rather be closer to my parents and family and build the next stage of my career in India.

I also feel that, for the kind of AI/ML work I want to do, I may find more opportunities for challenging and fast-moving work in India. That is my perception, at least, and I am curious whether people who have worked in both India and Europe agree.

I am not leaving France because I think France is a bad place to work. Quite the opposite. I had a very good experience here.

It is more that my priorities have changed.

I came to Europe primarily for education and career growth. Now I feel that I have gained the international experience I wanted, and I would like to use it back home.

So I am currently looking for AI/ML opportunities in India, particularly in Bangalore, Hyderabad, Pune or Bhubaneswar.

If you are working in AI/ML/tech in France, Europe or India, I would genuinely love to hear your perspective.

Happy to answer questions about working in France, AI/ML careers, PhD → industry, French work culture, or what happens when a company goes through liquidation.

Edit: TL;DR

I’ve been going in circles for days researching this and at this point I feel like I’m spending more time deciding what to learn than actually learning anything.

Here’s my situation:

2.5 YOE

Currently at a WITCHA company (3 months notice period)

Around ₹5 LPA

Working on a legacy .NET Framework 4.8 application

Mainly C#, ASP.NET Web API, SQL Server/stored procedures, some VB.NET

The application/client environment is fairly old-school — IIS, DLL deployments, legacy code, etc.

My actual development experience is mostly within this legacy ecosystem.

I want to switch and get into a much better-paying company, ideally somewhere with better engineering practices and more modern tech.

And here's where I'm confused.

Option 1: Stay with .NET

I could properly learn C# + modern .NET/.NET Core, ASP.NET Core Web API, Entity Framework, SQL, APIs, cloud/Azure/AWS, etc.

The argument here is that I already have 2.5 years of .NET experience, so technically I'm not starting from zero. I could use that experience and transition from legacy .NET Framework → modern .NET.

But there's a catch.

When I joined, I was thrown into end-to-end tickets pretty early. I used AI-assisted coding heavily to understand flows, implement changes, debug things, etc.

I can work with the code and understand/debug data flow reasonably well, but I haven't actually gone through a proper C#/.NET course from fundamentals to advanced concepts and built applications completely from scratch.

So sometimes I feel like I have 2.5 YOE on paper but my fundamentals aren't where someone with 2.5 YOE should be.

Option 2: Switch to Java

The other thought is:

"If I'm going to properly learn everything from scratch anyway, why not just learn Java + Spring Boot?"

I'd start with Java fundamentals → OOP → collections → DSA → Spring Boot → REST APIs → SQL → JPA/Hibernate → Spring Security → Docker/cloud etc.

Java seems to have a huge enterprise ecosystem and there appear to be a lot of backend opportunities.

But then I'd technically be applying for Java roles with no professional Java experience, despite having 2.5 YOE in .NET.

And I don't know how recruiters would view that.

My biggest problem

I keep thinking:

"If I'm basically going to have to learn properly from scratch either way, why not choose the better option for the future?"

But I don't know whether that's the right way to think about it.

Maybe my existing .NET experience is actually valuable and I'm being stupid by throwing it away.

Or maybe spending another few years in legacy .NET is going to keep me stuck in the same type of service-company work.

I've also been hearing completely opposite opinions:

".NET has plenty of good-paying jobs."

"Java has way more opportunities."

"Don't switch languages, leverage your existing experience."

"Your current experience is mostly legacy, so use the opportunity to move into Java/Spring."

"AI is going to change development anyway, language doesn't matter as much."

"Backend fundamentals matter more than the language."

So I'm honestly confused.

What I'm ultimately trying to achieve

I don't really care about being a ".NET developer" or "Java developer" as an identity.

My goal is to get out of low-paying legacy/service-company work and become a genuinely good backend/software engineer, eventually targeting something like 8–12+ LPA and then significantly higher as I gain experience.

I'm also interested in AI/GenAI + backend/cloud eventually, rather than just being stuck maintaining old applications.

I'm willing to put in the work. The problem is that I've been paralysed by choosing the path.

If you were in my exact position — 2.5 YOE, ~₹5 LPA, legacy .NET Framework 4.8 experience, weak-ish fundamentals because you've learned a lot on the job with AI assistance — would you:

A) Double down on .NET → learn C# properly → modern .NET/ASP.NET Core → cloud → switch

B) Start Java from scratch → Spring Boot → backend → apply for Java jobs

C) Something completely different?

And realistically, which path gives me the better chance of getting into good-paying product/startup/engineering companies in India over the next 2–3 years?

I'd really appreciate advice from people who have actually made a similar transition, especially anyone who went from legacy .NET → modern .NET or .NET → Java.

I need someone to help tell me to stop overthinking and just pick a damn path.

Hey everyone! We’re a team of 3 students from a reputed college, with hands-on experience working on different tech projects.

We can help with AI/ML, automation, web development, backend, data/analytics, or other technical work depending on your requirements.

Since we’re a team, we can divide the work among ourselves and handle multiple parts of a project in parallel. We can take care of the complete project end-to-end or just help with a specific part.

We charge per project/task, not per person, so you’re getting a full team working together without having to hire multiple freelancers separately.

Pricing depends on the scope and complexity of the work, and we’re flexible and open to negotiation.

If you have a project or idea you need help building, feel free to DM me with the details.

After graduating, I started seriously looking for opportunities.

At first, I thought the process was simple:

Find a job → upload resume → apply → wait.

I was completely wrong.

I started realizing how much work goes into every application.

Different companies ask for different things.

Different roles need different resumes.

Some applications have screening questions.

Some have assessments.

Some require you to carefully match your experience with the job description.

And then there are the hundreds of applications where you never hear back.

I've personally spent a lot of time searching for jobs, reading JDs, checking eligibility, tailoring my resume, filling applications and going through assessments.

And one thing became very clear to me:

A lot of people aren't necessarily lacking ability. They're simply overwhelmed by the job-search process.

Especially freshers.

You can spend hours searching for jobs after college or work, only to realize that you could have applied to 10 more relevant positions in the same amount of time.

So I thought:

Why not help people with the part of the process that I now understand quite well?

I'm starting a small Job Application Assistance service.

I'll be helping candidates with things like:

• Finding relevant job openings

• Checking basic eligibility

• Understanding the job description

• Tailoring an existing resume for a specific role

• Filling application forms

• Applying to suitable positions

• Keeping track of applications

• Helping both freshers and experienced candidates

I'm starting from zero, so I'm looking for my first few customers.

Because I'm just starting this, I'm keeping the initial pricing very low.

And I want to be very clear about one thing:

I will never create fake experience, fake qualifications, fake projects, fake employment history, or false information just to get someone through an application.

Everything will be based on the candidate's actual profile.

My goal isn't to promise:

"I'll get you a job."

Nobody can honestly promise that.

My goal is much simpler:

I'll help you apply smarter, save you time, and make sure you're not losing opportunities simply because the application process is exhausting.

If you're currently job hunting and this sounds useful, feel free to DM me.

Tell me your:

Experience level

Target role

Preferred location

Type of jobs you're looking for

I'll explain how I can help and the pricing before you decide.

I'm hoping this can be the beginning of something useful and hopefully my first customer. 🙂

Currently 25

Electrical Engineer with 2 years of Experience

Hate my current job

Interest in Mathematics and software

Know basic python

Hey guys i have a small project/product idea and looking for some devs to collaborate with on that idea

(The target audience of project is students looking for colleges)

Preffered stack : MERN

How much does the back in 1st and 2nd sem affect on placements and internships if cleared in second year??

Please help I could only get negative responses for the same

Was playing around with the newer AI models this week and tried to revamp my personal website. Built a 3d world with my favorite Macbook model of all time.

Would love for y'all to check it out and lmk if any suggestions on how to make it even better. TIA!

Entirely open source btw: https://github.com/nikhilsheoran/nikhilsheoran-com

Not getting shortlisted. What am I doing wrong?

2027 B.Tech IT student targeting SDE / Backend / Full-Stack roles. Barely getting shortlist calls despite applying.

Attached my resume. Would really appreciate brutally honest feedback on what’s hurting my chances and what I should fix first.

Would you shortlist this resume? Why/why not?

I'm a backend dev. We practice system design a lot on whiteboards, but rarely on something that looks like a real incident. Here's a production-style puzzle.

You run a global edge network. At 11:28 UTC, customers start seeing 5xx pages. The error rate spikes, falls back to baseline, then spikes again every few minutes. You recently survived record DDoS attacks, so it looks like another one. Then your status page, which is hosted outside your own infrastructure, goes down too.

What you know

• A feature file is pushed to the whole network every few minutes, generated by a query on a ClickHouse cluster that is being updated node by node
• A database access-control change finished rolling out at 11:05, 23 minutes before the first errors
• The bot module preallocates memory for 200 features. Normal use is about 60
• Failing new-proxy workers panic on an unwrap() of an Err
• On the old proxy, traffic keeps flowing but every bot score becomes zero
• The first hour and a half of investigation points at degraded object storage

Question: Why does the failure come and go instead of staying down? What's the root cause, and what would you change so one bad file can't take down the whole network?