DEV Community: Anushka Quietly Building

Real World Problems. Fresher Brain. Here's How to Actually Think Through Them.

Anushka Quietly Building — Thu, 13 Aug 2026 05:49:38 +0000

I walked out of a senior level interview recently and sat in silence for 30 minutes.

Not because it went badly.But because I kept thinking oh. THAT'S what I should have said.

Two of the three questions I answered.One I fumbled completely.

But those 30 minutes after the interview taught me more than any lecture ever did.

This is what happened. What I said.What I should have said.
And what every fresher should know before walking into their next technical round.

The Reality Nobody Prepares You For

These questions are usually asked
to experienced developers.

People who have worked on live systems. People who have debugged production at 2am. People who have deployed to thousands of users.

As a fresher I had done none of that.

My projects run on localhost.
My users are me, myself, and occasionally a college professor during a viva.

And yet there I was.
Being asked about real production problems.

What I wish I had understood before walking in:

They are not testing experience.
They are testing thinking.

Can you trace a problem logically?
Do you know where to look?
Do you understand how systems break even if you haven't seen them break yet?

I understood that after I walked out.Not before.

Here's what I know now.

Question 1 — The Search Bar is Slow. What Do You Do?

Here I said I'll try finding issues with frontend if there's something wrong in code or with backend . I didn't this expect such questions which I know I could have studied such way.
This was the one I fumbled.

In the moment I said after basic explanation - "I would look for help online if I couldn't find the root cause."

Not wrong. But not enough.
And I knew it the moment I said it.

Sitting outside after it hit me.

What I should have said:

Every keystroke in a search bar
can trigger an API call.
User types "a" - API call.
User types "an" - API call.
User types "anu" - API call.

That's three calls in one second.
On a slow network or a heavy database this kills performance immediately.

The fix is debouncing wait until the user stops typing before making the API call. Seven keystrokes. One API call. Instant improvement.

But debouncing is just one layer.

Other reasons search can be slow:

No database index on the search column meaning the database scans every single row every single time someone searches
Returning too much data fetching thousands of results when the user only sees ten
No caching the same popular search hitting the database over and over instead of using stored results

I knew all of this.
It just didn't come out under pressure.

That's the part nobody warns you about.

Question 2 — Button Click is Not Fetching Data. What Do You Do?

This one I answered. Not perfectly but I got the direction right.

I said it's probably an API related problem. Either in the frontend, the backend, or the connectivity between them.

That was correct. But I could have gone deeper.

The full answer:

This problem lives in one of three places.

Frontend issue:
The click event is not firing.
The wrong parameter is being sent. The response is not being handled correctly.

How to check:
Open browser developer tools.
Go to the Network tab. Click the button. Did a request fire?
What did it send? What came back?

Backend issue:
The API received the request
but returned wrong data or an error.

How to check:
Look at the API response in the Network tab. Is it 200 success or 400/500 error? Is the response structure what the frontend expects?

Connectivity issue:
Frontend and backend cannot communicate. Wrong API URL. CORS error. Network timeout.

How to check:
Console tab in developer tools.
CORS errors appear immediately.
Failed requests show as red in the Network tab.

The Network tab and Console tab
answer this question almost every single time. The problem announces itself if you know where to look.

Question 3 — How Would You Hand Over or Deploy Your Project?

This one I answered with two options.

I said Docker container for deployment because it packages everything the project needs
into one environment that works anywhere.

And GitHub access for handover
so the team can clone, read the README, and run it themselves.

I was satisfied with this answer.
But sitting outside I realized
I could have structured it more clearly.

The complete answer:

Handing to another developer for local work:
Push to GitHub with a detailed README. What the project does.
How to set it up. What environment variables are needed.
How to run it. They clone it. They follow the steps. Done.

Handing to a team for production:
Docker container.
Packages your entire application code, dependencies, environment into one container that runs identically on any machine.

No "works on my machine" problem.
No dependency conflicts.
No environment differences.
The professional standard for project handover.

Going live for real users:
Cloud deployment on AWS, Render, or Railway. Share the live URL.
Share environment variables securely. Share repository access.

The team gets a live running version, the source code, and everything needed to maintain it.

Match the solution to the situation. Each has the right tool.

What Those 30 Minutes Taught Me

I knew the answers to all three questions.

The debouncing concept I had read about it. The developer tools approach I had used it. The Docker and GitHub handover I had thought about it.

But knowing something and recalling it clearly under pressure are two completely different skills.

That gap is real.And the only way to close it

Is to practice thinking out loud.
Talk through problems before interviews. Explain your debugging process to yourself.
Write about what you know.

Because the moment you can write it clearly you can say it clearly.

And the moment you can say it clearly no interview question catches you off guard the same way twice.

One Last Thing for Freshers

If you are asked about production level problems in a fresher or intern interview .Don't panic because you haven't worked
on a live system.

Say honestly "I haven't worked on production yet but here's how I would approach it."

Then walk through your thinking.

That answer shows more than experience.It shows the kind of developer you are becoming.

And that is exactly what they wanted to see. 😊

Have you ever walked out of an interview
knowing exactly what you should have said?

That moment of clarity after the pressure is gone that's where real learning happens.

Drop it below 👇

Vibe Coding - Real Development or Just Hype?

Anushka Quietly Building — Thu, 13 Aug 2026 05:34:27 +0000

Most of my projects were built with AI.

Not because I couldn't code.
Because I didn't want to spend four hours finding a missing semicolon.

That's vibe coding.And I have opinions about it.

What Vibe Coding Actually Is

Vibe coding is when you describe what you want and AI writes the code for you.

No manual typing.
No syntax errors.
No spending 45 minutes debugging
a capital letter that shouldn't be capital.

You give the prompt.AI gives the code.You review, adjust, and move forward.

That's it.

Why It Actually Works

Programming languages are unforgiving.

One wrong semicolon error. One extra space error.One capital letter where lowercase was expected error.

And finding that error?
Sometimes takes longer than writing the entire function did.

When I was new to React, Angular, HTML, CSS I didn't ask AI to build everything blindly.

I sketched the UI on paper first.
I designed what I wanted to see.
Then I gave AI a precise prompt
based on that design.

AI built it. I reviewed it. I adjusted it.I understood every line before moving forward.

That's not cheating.
That's smart development.

The Project That Changed My Mind

A project that would have taken
four to five months requirement analysis, design, development,
testing, deployment everything
took fifteen days.

Fifteen days.

Not because I cut corners.
Because I stopped fighting syntax
and started focusing on thinking.

Design.Requirements.Architecture. Logic.The parts that actually need a human brain.

AI handled the parts that don't.

But Here's the Truth Nobody Says

Vibe coding only works if you actually know what you're doing.

If you don't understand what the code means you cannot debug it when it breaks.And it will break.

If you don't know what each function does you cannot explain it in an interview.And they will ask.

If you don't understand the architecture you cannot extend it when requirements change.
And they always change.

Vibe coding without understanding
is not development. It's copy paste with extra steps.

The Right Way to Vibe Code

Step 1 — Understand the requirement deeply
Know exactly what you're building and why.Not just what AI should generate but what problem it solves.

Step 2 — Design before you prompt
Sketch the UI.
Plan the database schema.
Map out the API endpoints.
On paper if needed.

A good prompt comes from clear thinking not from vague descriptions.

Step 3 — Read every line AI generates
Don't copy paste blindly.Read it. Understand it.Ask AI to explain what you don't understand.

Step 4 — Own the output
If something breaks fix it.
If something doesn't make sense question it.If someone asks you about it explain it.

The code might be AI generated.
The understanding must be yours.

What Vibe Coding Is Not

It is not a shortcut for people
who don't want to learn.

It is not a replacement for understanding fundamentals.

It is not going to help you
if you can't read the output
or explain the logic behind it.

My Honest Take

Vibe coding is real development
when done by someone who genuinely understands what they're building.

It is hype when done by someone hoping AI knowledge replaces their own.

The best developers I've seen
don't write every line manually
to prove something.

They think clearly.They design intentionally.They use every tool available including AI to build something that actually works.

That's not laziness.
That's exactly what good engineering looks like. 😊

Have you tried vibe coding?
Did it help or hurt your understanding?

Drop your honest experience below 👇
No judgment just real talk.

What I'm Building: A Tool to Help Recruiters Rate Interviews More Consistently

Anushka Quietly Building — Sat, 01 Aug 2026 19:13:07 +0000

I'm starting a full-stack project aimed at a problem I kept thinking about: when a recruiter interviews hundreds of students in a day, how fair can the ratings really stay?

The problem

Think about placement season. One recruiter might interview 50-100+ students back to back. By interview #60, it's genuinely hard to judge everyone the same way. A tired interviewer might mark a correct answer lower than they would've an hour earlier not on purpose, just human fatigue. This isn't about a bad recruiter, it's just a hard problem when you're rating people at that volume.

Re-listening to every recording to double-check is the obvious fix but also genuinely frustrating and time-consuming when there are that many interviews.

What I'm building

Frontend — the recruiter/HR logs in and uploads the interview recording (audio or video, online or offline).

Backend — built with Java and Spring Boot:

Whisper API converts the recording into a transcript
Gemini API goes through that transcript and evaluates the actual answers — how accurate, how complete, how well the candidate understood the topic

Database — stores the transcript and the generated rating/documentation per candidate, so the recruiter has something consistent to refer back to instead of relying purely on memory or handwritten notes from hours earlier.

What this is not

This is not the AI making a hiring decision. That stays 100% with the recruiter.

What the tool does is give the recruiter a consistent, evidence-based reference how accurate each answer actually was so the final call isn't just based on how tired the interviewer was by that point in the day. The recruiter still decides if someone's the right fit. The AI just helps make sure the rating going into that decision is based on what the candidate actually said, not on interview fatigue.

Where I'm at right now

Early stage designing the database schema and setting up the Spring Boot backend before wiring up the Whisper and Gemini integrations.

Will share progress as I build this out.

Java #SpringBoot #FullStack #StudentProject #LearningInPublic #HRTech

Why Is Big Tech Building Its Own Chips - And Why Should You Care?

Anushka Quietly Building — Fri, 24 Jul 2026 11:48:49 +0000

I had no idea this was happening.

Then I started reading and realized this might be one of the biggest shifts in the tech industry right now.

Let me explain it simply. The way I wish someone had explained it to me.

It Started With One Company - Nvidia

If you've heard one chip company name recently it's Nvidia.

Nvidia makes GPUs the chips that power AI models, train machine learning systems, and run the cloud infrastructure that every major company depends on.

For years if you wanted to run AI you bought Nvidia chips. No alternative. No competition. Just Nvidia.

At one point Nvidia controlled over 80% of the AI chip market.

That kind of monopoly comes with a price. Nvidia's profit margins on chips are above 70%.

For a small company that's manageable. For Google, Amazon, and Microsoft buying hundreds of thousands of chips that's billions of dollars
going straight to Nvidia every year.

And they got tired of it.

So They Built Their Own

Google, Amazon, Microsoft and Meta started building full stack AI structures chips, data centers, and models to escape Nvidia dependence and boost efficiency.

Here's what each one built:

Google — TPU (Tensor Processing Unit)
Designed specifically for AI workloads. Not a general purpose chip.
Built for one thing running AI faster and cheaper.

Real proof it works:
Midjourney switched their AI inference from Nvidia to Google's TPU and their monthly bill dropped from 2.1 million dollars to 700,000 dollars.

That's not a small saving. That's the difference between a company that's profitable and one that isn't.

Amazon — Trainium and Inferentia
Trainium for training AI models.
Inferentia for running them.
Both built specifically for AWS cloud customers.

Microsoft — Azure Maia 100
Custom AI chip built for Microsoft's cloud.
Optimized for their specific workloads.

Why This Is Happening Now

Three reasons. All connected.

1. Cost
Custom chips deliver 30 to 50% lower total cost by cutting out the Nvidia margin.

When you're spending billions on chips 30% savings is not a rounding error.It's a strategic advantage.

2. Control
Once these companies owned their hardware stack, they could move faster, optimise more aggressively, and build things their competitors simply couldn't copy.

When you design your own chip you decide exactly what it's good at. You're not buying a chip designed for everyone. You're building one designed for you.

3. The AI race demands it
Big tech is building its own AI chips to reduce reliance on Nvidia, control costs, and gain a competitive edge in the rapidly evolving AI infrastructure race.

AI is no longer just software. It's physical infrastructure now. Chips. Data centers. Power grids. The companies that control the hardware
control the future of AI.

How Big Is This Shift?

Custom ASIC shipments are projected to grow 44.6% in 2026, compared to 16.1% for standard GPUs.

That gap tells you everything.

The industry is not just buying more chips. It's buying different chips.
Custom ones. Specific ones. Ones nobody else can use.

What This Means for Developers and Freshers

You might be thinking I'm a software developer. Why does hardware matter to me?

Here's why.

The chips being built today determine what AI can do tomorrow.

Faster chips mean:

AI models that respond in milliseconds
Cloud services that cost less
Applications that were impossible yesterday becoming possible today

As a developer building cloud applications the infrastructure underneath your code is changing faster than ever.

Understanding that infrastructure even at a conceptual level makes you a better developer.

It also makes you someone who can talk intelligently about the industry
in interviews and conversations when most freshers are still only
talking about frontend frameworks.

The Simple Version

For years one company made the best AI chips. Everyone bought from them. It was expensive.

The biggest companies in the world decided that was unacceptable and built their own.

Now the AI race is not just about who has the best software. It's about who has the best hardware.

And the companies that control both control everything. 😊

Did you know big tech was building their own chips? What surprised you most about this?

Drop it below 👇

What I Wish I Had Done Differently in My First Year of MCA

Anushka Quietly Building — Sun, 19 Jul 2026 14:00:17 +0000

I got good marks in the entrance exam. I got into a good college. I was confident.

And then first year happened.

Here's everything I wish someone had told me before I walked into that classroom.

Choose Your People Before You Choose Anything Else

First month of college everyone is trying to make friends fast.

I did too. And I chose wrong.

Not bad people. Just people who wanted to complete a degree not build a career.

Every time I tried to talk about something beyond what was taught in class "why are you talking about studies? you're so boring."

So I stopped. I matched their vibe. I wasted time I'll never get back.

What I wish I had done:

Spent the first month just observing.

Which student answered questions in class that weren't even asked? Which student was talking about something beyond attendance and exam dates? Which student seemed like they wanted more than just a degree?

Those are your people. Find them slowly. Don't rush it.

Because in MCA two years goes fast. The people you choose in semester one affect your projects, your growth, and your mindset for the entire degree.

Never Let Someone Else Take Credit for Your Work

First semester project someone in the group made the project.I did the documentation. Two others did nothing.

All four got the same credit.

Second semester I made my own project. I wrote my own research paper.
Credit was distributed equally again among people who didn't do a single thing.

That boiled my blood.

And it should have.

Because here's the reality of professional life you get paid for your work. Not for someone else's work. Not for being in the same group.

Your project. Your credit. Your ownership.

What I wish I had done:

Been very clear from day one I work with people who work. Not people who attach their name to my effort.

In MCA you have the luxury of changing your group every semester.
Use it.

Make projects with people who actually did something the previous semester. Not your friends. Not the comfortable choice. The ambitious ones.

The 25-25-25-25 Rule I Discovered Too Late

If I had to divide my learning into four parts this is what I wish it had looked like:

25% — Academic knowledge
What the syllabus demands. What gets you through exams and practicals.
Important. But only one fourth of the picture.

25% — Resume knowledge
Your projects. Your certifications. Your internships. What makes a recruiter stop scrolling. This is built outside the classroom not inside it.

25% — Interview depth
The tech stack companies actually ask about. The questions that go beyond your resume. The answers that prove you understand not just know.

25% — Beyond everything
More than your resume demands. More than your academics cover. More than what the company expects.

A developer who also understands cloud computing. A frontend developer who also knows basic backend. A Java developer who also knows what DevOps means.

That extra 25% is what separates someone who gets shortlisted from someone who gets hired.

I discovered this formula too late. Don't make the same mistake.

Stop Taking Guidance from Teachers Alone

I'll be honest.

Most college teachers are not in tech. They teach from textbooks.
They show you concepts that haven't changed in years.

If you go to them and ask sir, which technology should I learn next? ma'am, how should I prepare for placements?

They genuinely don't know. Not because they're bad people. Because they haven't been in the industry.

Who you should actually take guidance from:

Seniors who are working. Alumni who got placed. People on LinkedIn and DEV.to who are doing the actual job right now.

They know what companies are actually asking for. They know what's changed in the last year. They know what your resume is missing because they went through the same process recently.

Teachers give you the foundation. Industry people show you where to go from there.

Know the difference. Use both accordingly.

The People Who Got Selected — and Who Didn't

End of first year a company came to campus.
Shortlisted resumes. Interviewed candidates.

The people who got selected?

The ones who were talking about something beyond attendance and exam dates. The ones who had built something. The ones who were curious about more than what was given to them.

The ones who were just waiting for time to pass?
Not selected.

It wasn't luck. It wasn't favoritism. It was simply who had been building while others were waiting.

What I'm Doing Differently This Year

New semester. New people. New mindset.

The people around me now are talking about what should we study beyond academics this semester? What's happening in the industry right now?
What should our resume look like by the end of this year?

That's the energy I should have found in year one.

This year I'm not waiting for the right moment. I'm not waiting for the right company to come. I'm not waiting for a teacher to tell me what to learn.

I'm building. Studying. Connecting. And choosing my people very carefully.

Final Thought

First year of any degree feels like you have all the time in the world.

You don't.

Every semester that passes without building something real, finding ambitious people, or going beyond what's given to you

Is a semester you cannot get back.

Start early. Choose right. Build always.

And never ever let someone else take credit for what you built. 😊

What's one thing you wish you had done differently in your first year?

Drop it below 👇
Let's help the ones just starting out
avoid the same mistakes.

Help Me Build My Next Project - I'm Taking Suggestions from the DEV Community

Anushka Quietly Building — Wed, 15 Jul 2026 13:31:19 +0000

My exams are done.
My next semester hasn't started yet.
I have time actual, real, guilt free time.

And I want to use it to build something.

Not for marks.
Not for a deadline.
For real.

But here's the thing
I don't want to build another management system.
I don't want to build another todo app.
I don't want to build something that already exists
in a thousand GitHub repositories.

I want to build something that a normal person would actually use.
Something simple enough for a fresher to build.
Something interesting enough to be worth building.

And I want the idea to come from you.

Who I Am — So You Know What I Can Work With

I'm a final year MCA student.
Full stack developer — frontend, backend, database.

What I'm comfortable with:

Java, Spring Boot, REST APIs
React.js, Angular, HTML, CSS
MySQL, Oracle
PHP for smaller projects
AWS basics — cloud concepts, not deep deployment yet

What I'm open to learning:

Any technology that makes sense for the idea
Something I haven't touched yet
Something companies actually use

What I'm NOT looking for:

Enterprise level complexity
Microservices architecture for a solo project
Anything that needs a team of five to build

Just something real.
Something useful.
Something a normal person would open and think oh, this actually solves something for me.

What Kind of Project I'm Thinking About

I don't have a fixed idea yet.
That's the point of this post.

But here's what I'm drawn to:

Something that solves a small but real problem
Not world hunger. Not the next unicorn startup.
Just something that makes one small thing easier for one type of person.

Something a fresher can build solo
I'm not building the next Netflix.
But I can build something meaningful with the skills I have right now.

Something I can honestly show on my resume
Not inflated. Not overclaimed.
Just I built this, here's what it does,here's the problem it solves.

Something that uses technology in a real way
Not just a CRUD app with a fancy name.
Something where the tech choice actually matters.

What I Want From You

If you're an experienced developer — what problem do you wish someone had built a solution for when you were starting out?

If you're a student like me — what idea have you been sitting on but never had time to build?

If you're a daydreamer — what's that one app you keep thinking about
that doesn't exist yet?

Tell me:

The problem it solves
Who would use it
What tech you think makes sense for it
Why you think a fresher could actually build it

I'll read every comment.
I'll genuinely consider every idea.
And whoever's idea I end up building —
I'll credit you in the project README and in the blog post I write about it.

Because this community has taught me more than any college curriculum has.

The least I can do is build something that came from it. 😊

One Rule

No complicated ideas that need a team, a budget, or five years of experience.

Simple. Real. Useful.
That's all I'm looking for.

Drop your idea below 👇
Let's build something together.

How to Build a LinkedIn Profile That Actually Gets Noticed

Anushka Quietly Building — Sun, 12 Jul 2026 15:09:19 +0000

Honest take so don't judge.

My First Day on LinkedIn

Creating my LinkedIn account felt like walking into a corporate office
as a kindergarten student.

Everyone around me had 10 years of experience, published papers, CEO titles, and profiles that made me feel like I had absolutely nothing to offer.

I added my photo. Added my basic details. And just stared at the feed
having no idea what was going on.

That was my LinkedIn journey day one.

The "Open to Work" Mistake

LinkedIn kept pushing me to turn on the Open to Work green banner.

So I did.

My brother saw it immediately. He told me to take it down.

His reasoning hit different

"It tells people you have nothing going on. No work. No learning. No projects. Just waiting for someone to pick you. Companies don't want someone who's just waiting. They want someone who's already moving."

I took it down the same day.

The lesson act like a busy student even when you don't feel like one.
Connect. Post. Learn. Show up.

Let your activity speak louder than a banner that says you're available.

The Connection Strategy That Actually Worked

I started sending 10 to 15 connection requests every day.

Not random people. People working at companies I respected. Developers. Recruiters. Tech leads.

I never messaged them. Never asked for referrals. Never asked for advice.

Just connected.

Slowly my network grew. And with it my feed became the most useful thing on the internet.

Real industry news. Real career advice. Real people sharing what was actually happening in the companies I wanted to work at.

Your network shapes your feed. Your feed shapes what you know. What you know shapes how you grow.

The Certification Phase

Then I got my first certification.

IBM. AWS. HackerRank.

And LinkedIn became my showoff platform.

Every certificate — posted. Every course completed — posted. Every badge earned — posted.

It felt good for a while.

Then it felt boring. And very normal.

Because here's what I realized

India has a massive population. And a massive number of students
with the exact same IBM certificate, the exact same AWS badge, the exact same HackerRank score.

Certificates alone don't make you different. They just confirm you're not behind.

So I stopped posting every certificate. Started quietly adding them to the Certifications section instead.

Let the profile speak. Not the feed.

The Internship I Didn't Announce

I did a one month internship at a company.

I added it to my Experience section quietly. No post. No announcement. No celebration.

Because who am I with one month of experience announcing myself in front of people with 3 to 15 years in the industry?

That felt wrong. So I just added it and moved on.

Looking back I should have posted about it. Not to brag. But to document the journey.

That's what LinkedIn rewards people who share their story honestly while it's still unfolding.

Not just at the destination. But every step of the way.

What I Actually Do Now

I like posts intentionally.

Not mindlessly scrolling and double tapping. But genuinely engaging with content that reflects my interests cloud computing, Java, career growth, student life.

Because every like places your interest in front of the world. LinkedIn shows your activity to your connections. Your engagement tells people what you care about.

That's a quiet but real signal.

The Projects I Didn't Post

Here's my biggest LinkedIn regret.

I never posted my projects.

LifeFlow. E-Medical. Weather App. Built them. Proud of them. Never showed them.

Because I looked at other people's projects enterprise level systems,
production deployments, open source contributions with thousands of stars

And thought what's my basic project in front of all of this?

That thinking was wrong.

Recruiters are not comparing your project to a senior developer's project. They're comparing it to other freshers' projects.

And most freshers have nothing to show.

Your project however basic it feels is already ahead of silence.

The Honest Truth About LinkedIn

LinkedIn is a showoff platform. Let's not pretend otherwise.

But the people who win on LinkedIn are not the ones who have the most to show.

They're the ones who show what they have with the most confidence and consistency.

Learn one small thing present it like a five star hotel chef.

That's not fake. That's just knowing your audience.

What Actually Works — My Honest Summary

Remove Open to Work — act busy even when you're not

Connect intentionally — 10 to 15 people daily in your target industry

Never just collect connections — let your feed become your learning source

Post projects — even basic ones, especially basic ones

Engage genuinely — likes and comments that reflect real interest

Add certifications quietly — let the profile speak, not every post

Document the journey — not just the destination

Why I Shifted to DEV.to

LinkedIn started feeling like standing in a huge crowd and shouting
"see what I did! see what I did!"

And everyone around you is doing the same thing.

It's not wrong. It's just not me.

I'm an introvert. And LinkedIn doesn't give introverts room to breathe.

DEV.to does.

Writing here feels like wearing a comfortable mask showing my work, my ideas, my thinking without the pressure of performing for an audience.

Who wants to find it will find it someday. Who doesn't won't even stumble across it.

And that feels right to me.

I'm not consistent here because someone told me to be. I'm consistent because I'm genuinely eager - eager to write about something I was just thinking about, eager to see if someone else thinks the same way, eager to feel that quiet moment when a comment appears and someone says I felt this too.

That reaction. That one comment from one stranger who thought the same thing I did

Gives me more peace than a hundred LinkedIn likes ever did.

LinkedIn or DEV.to which platform feels more like you?

Drop it below 👇

Government Job vs Private Job - An Honest Take

Anushka Quietly Building — Sat, 04 Jul 2026 14:07:30 +0000

Everyone has an opinion about this.

Parents say government job.
LinkedIn says private sector.
Relatives say stability.
Startups say growth.

But nobody actually breaks down what each one really means for your life, your peace of mind,and your future.

So here's my honest take. No sugar coating. No career counselor script.

The Fundamental Difference

Government job — you know exactly what you're signing up for.

The syllabus is public. The exam pattern is known. The selection process is uniform. No personality bias. No good looks factor. No luck of who interviews you that day.

Just your preparation vs everyone else's preparation. Pure and simple.

Private job — you never fully know what you're signing up for.

Every interview is different. Every interviewer has different expectations. Your personality matters.How you present yourself matters.
Sometimes who you know matters.

The process is unpredictable by design.

Government Job — What It Actually Gives You

Certainty before you even start

You know the syllabus.You know the exam dates.You know roughly what score gets you in.

If you prepare well the outcome is predictable. That predictability is rare and valuable.

Job security that private sector cannot match

Once you're in you're in. No layoffs. No company shutdowns.No "we're restructuring" emails on a Friday afternoon.

Your job exists whether the economy is good or bad.

A simple, stable lifestyle

You work your designated hours. You go home. You don't carry your job home with you every night.

For anyone who wants a calm, settled life this is not a small thing.This is everything.

Transfers and postings

Yes - you might get transferred. Different cities. Different states.
That can be hard. But it also comes with accommodation support, travel allowances, and structured benefits most private jobs don't offer.

Private Job- What It Actually Gives You

Money. Faster.

If you're good your salary grows faster than any government pay scale allows.

Switch companies every two years your salary can double. That kind of income growth doesn't exist in government jobs.

New people. New environments. New challenges.

Every company is a new world. New team. New tech stack. New problems to solve.

If you thrive on change and learning private sector feeds that hunger constantly.

Freedom to grow on your own terms

You can switch industries. You can freelance. You can start something.

Government jobs don't give you that flexibility. Private sector does.

The Hard Truths About Each

Government job hard truth:
The selection process is long. Study for months. Give exam. Wait months more. And if you don't clear start again.

The journey is slow and uncertain even if the destination is stable.

Private job hard truth:
The company can shut down. You can be laid off on any day. The learning never stops which sounds good until you're exhausted and just want to breathe.

Salary grows fast but so does pressure.

As a Girl — My Honest Opinion

I'll say what most people won't.

For girls in India a government job offers something that private sector rarely does.

Respect without having to fight for it.
Security without having to prove it every day.
A life where your career doesn't consume everything.

Maternity benefits. Fixed hours. Job security.The ability to prioritize family without it affecting your position.

In private sector these things exist on paper. In practice it varies wildly by company.

If you get a government job opportunity grab it without thinking twice.

Not because private sector is bad.But because what government gives you cannot be easily replicated anywhere else.

For Boys — The Same Logic Applies Differently

Private sector rewards aggression and ambition faster.

If you want to earn more, grow faster, switch roles, build something private sector is designed for that energy.

But if you want stability, a settled life, and work that doesn't follow you home government is not a lesser choice. It's a different choice. A valid one.

So Which One Is Better?

Neither. And both.

Government job is better if:

You want security over speed
You want predictable work-life balance
You want a process that rewards pure preparation
You want something that cannot be taken from you suddenly

Private job is better if:

You want faster financial growth
You thrive on constant learning and change
You're okay with uncertainty in exchange for opportunity
You want to build something, switch something, grow something

My Honest Final Thought

Private sector is no gain just pain until suddenly it's a lot of gain.

Government sector is slow and stable which sounds boring until life gets complicated and you realize stability was the smartest thing you could have chosen.

Know yourself. Know what kind of life you want. Then choose accordingly.

Not what LinkedIn tells you.Not what relatives tell you. What YOU actually want. 😊

Government or private which one are you leaning toward? And what's the one reason that's making you lean that way?

Drop it below 👇

Companies Are Split on AI and Jobs - And That Split Tells You Everything

Anushka Quietly Building — Sun, 14 Jun 2026 06:35:55 +0000

This week I read something that stuck with me.

A major tech CEO criticized other executives for publicly celebrating layoffs caused by AI automation.He compared it to celebrating a manifesto that damages long-term innovation and morale.

His company's position? AI should augment human roles not replace them.

Two completely different philosophies.Same industry. Same AI tools. Same year.

And as a fresher about to enter this industry this split matters more than any technical skill I learn.

The Two Camps

Camp 1 "AI replaces, we cut costs"

Some companies are openly using AI to reduce headcount.Fewer developers. Fewer support staff. Fewer analysts.AI does the work. Cost goes down. Profit goes up.

They announce it publicly sometimes almost proudly as a sign of efficiency.

Camp 2 "AI augments, humans still matter"

Other companies are saying the opposite.AI helps employees do more but humans still make decisions, handle judgment calls, and own outcomes.

They're hiring. Training. Investing in people alongside AI tools.

Same technology. Opposite philosophy.

Why This Split Exists

Here's what I think is actually happening.

Companies that compete purely on cost manufacturing, basic support, repetitive operations see AI as a direct replacement for expensive labor.

Companies that compete on judgment, trust, and complex decision making see AI as a tool that makes their best people better.

The difference isn't the technology.It's what the company actually sells.

What This Means For Freshers Like Me

This split is not just a news story.It's a map.

When you're applying for jobs —
the company's philosophy on AI
tells you what kind of role you'll actually have.

Camp 1 companies be cautious.
If they're replacing junior roles with AI now,they'll keep doing it.Your role might be designed to be temporary by definition.

Camp 2 companies look closer.
If they're investing in people alongside AI,they're betting that human judgment still has long-term value.That's where growth happens.

You can often tell which camp a company is injust by how they talk about AI in interviews,
job descriptions, and public statements.

The Skill That Matters Now

Here's what I've started believing.

Technical skills get you in the door.But the skill that keeps you in the room is

Judgment.

The ability to look at AI generated output and know if it's actually right.The ability to ask "should we build this" not just "can we build this."The ability to take responsibility for a decision not just execute one.

AI can write code. AI can analyze data.AI can even make recommendations.

But AI doesn't take responsibility when something goes wrong.

That's still a human thing.And companies in Camp 2 know this is valuable.

What I'm Doing With This Information

I can't control which camp a company belongs to.

But I can control how I position myself.

When I build projects I focus on understanding the problem, not just generating code.

When I write blog posts I explain my reasoning,not just my output.

When I go into interviews I talk about decisions I made and why,
not just technologies I used.

Because the fresher who can explain their thinking is the fresher who looks like
a Camp 2 hire.

The Honest Truth

This AI and jobs debate isn't going away.

Some companies will keep cutting.
Some will keep investing in people.

As a fresher you don't get to choose the industry's direction.

But you do get to choose which companies you apply to,what questions you ask in interviews,
and what kind of professional you become.

Pay attention to which camp a company belongs to.

It might matter more than the salary number. 😊

Have you noticed this split in companies you've researched or interviewed with?

Which camp do you think your dream company falls into?

Drop it below 👇

Student Projects vs Real World Projects - The Honest Difference

Anushka Quietly Building — Fri, 12 Jun 2026 15:56:51 +0000

You build a project.It works on localhost.You add it to your resume.You feel proud.

And you should.

But somewhere in the back of your mind you wonder.

Would this survive real users?
Would this work if 1000 people used it at once?Would a company actually use this?

Here's the honest difference between what students build and what companies ship and how you can close that gap right now.

The Biggest Difference Nobody Talks About

Student project built to impress.
Real project built to survive.

A student project needs to work once.For a demo. For a viva. For a screenshot.

A real project needs to work always.For real users. Real data. Real consequences.

That's not a small difference.
That's everything.

How Students Build vs How Companies Build

Students think about:

What features should I add?
How should the UI look?
Which tech stack sounds impressive on a resume?

Companies think about:

How many users will hit this at once?
What happens when the server goes down?
How do we deploy without breaking what's already live?
Who is responsible when something breaks at 3am?
How do we scale this without rewriting everything?

Neither is wrong.
But understanding the difference
changes how you build even as a student.

🖥️ Localhost vs Deployed and Live

Student reality:
Project runs on your laptop.
You demo it. Viva done. Laptop closed.

Real world reality:
Project is deployed. Live. Running 24/7.Real users accessing it right now.Emails actually sending. Payments actually processing.APIs handling thousands of requests simultaneously.

How to close this gap:
Deploy your project. Even once.
AWS Free Tier. Render. Railway. Vercel.All free for students.

A deployed project on your resume
is worth ten localhost projects.

👤 Dummy Data vs Real Users

Student reality:
You test with your own account.
Maybe your friend's account.
Data is fake. Stakes are zero.

Real world reality:
Real names. Real emails. Real payment details.Real people who will complain if something breaks.Data protection laws that apply to every user.

How to close this gap:
Think about real users while building.Add proper validation what if someone types nothing?
Add error messages what if the API fails?Add loading states what if it's slow?

These small things separate a student project from something that feels real.

🔐 No Security vs Real Security

Student reality:
Passwords stored as plain text sometimes.No input validation.
SQL queries built by string concatenation.Anyone can access any page.

Real world reality:
Passwords hashed. Always.Every input validated and sanitized.
Parameterized queries everywhere.
Role based access control on every endpoint.HTTPS. Tokens. Session management.

How to close this gap:
Hash passwords with BCrypt.Use parameterized queries never raw SQL.Add authentication to protected routes.These are not advanced topics.They are basics that real projects never skip.

⚡ One User vs Thousands of Users

Student reality:
Project works fine when you test it alone.Nobody thinks about what happens when 500 people use it at the same time.

Real world reality:
APIs designed to handle concurrent requests.Database queries optimized with indexes.
Caching used to reduce repeated database hits.Load balancers distributing traffic.

How to close this gap:
Add database indexes on columns you search frequently.Learn basic query optimization.Understand what caching means even conceptually.

You don't need to build Netflix.
You need to understand why Netflix needs these things.

🚀 No Deployment vs CI/CD Pipelines

Student reality:
You zip the project and submit it.Or push to GitHub and hope the teacher checks it.

Real world reality:
Every code change goes through automated testing.If tests pass it deploys automatically.If tests fail it never reaches production.
Multiple environments development, staging, production.

How to close this gap:
Set up one GitHub Actions workflow.Make it run your project on every push.Free. Takes 30 minutes to learn.Shows on your GitHub profile as green ticks.

That alone puts you ahead of most freshers.

🧩 Full Project vs One Module

Student reality:
You build the entire project alone.Frontend. Backend. Database. Everything.

Real world reality:
You own one module.One service. One feature.You integrate with what other teams built.You read code you didn't write.You fix bugs in systems you don't fully understand.

How to close this gap:
Work on team projects.Contribute to open source even small fixes.
Read other people's code intentionally.

Being able to work in an existing codebase is a skill companies desperately need and students almost never practice.

🆓 Free Tools That Make Student Projects Feel Real

You don't need to pay for anything.

What You Need	Free Option
Deployment	Render, Railway, Vercel, AWS Free Tier
Database hosting	PlanetScale, Supabase, ElephantSQL
Email sending	EmailJS, Mailtrap
Authentication	Spring Security, Firebase Auth
API testing	Postman
CI/CD	GitHub Actions
Monitoring	UptimeRobot

All free. All used by real companies.All things you can add to your resume honestly.

What Makes a Student Project Actually Stand Out

Not the tech stack.Not the number of features.Not the UI design.

This:

It is deployed and actually live
It handles edge cases and errors gracefully
It has proper authentication and security
The README explains what it does and how to run it
The code is organized and readable
It solves a real problem someone actually has

That combination is rare among freshers.
And rare means memorable.

Final Thought

You don't need to build a startup.You don't need enterprise architecture.You don't need a team of ten.

You need to build something real enough that when someone asks does this actually work?

You can say yes. Here's the link. Try it yourself.

That confidence comes from building with intention.Not for marks. Not for a resume line.
For the person who might actually use it someday. 😊

What's one thing you added to a student project that made it feel more real?

Or what's something you wish you had done differently?

Drop it below 👇

I Learned REST APIs in College - But Nobody Told Me What They Actually Do

Anushka Quietly Building — Fri, 12 Jun 2026 07:18:33 +0000

You open Instagram.Your feed loads. You like a post. You follow someone.Every single one of those actions is a REST API call happening behind the screen.

College taught me GET, POST, PUT, DELETE, status codes, endpoints, JSON.I memorized it. Answered exam questions about it.

Then I sat down to build a real project and had no idea how any of it actually connected.

Here's where every REST API concept actually lives in the real world.
Real example first, then the concept, then where to use it.

📱 You open Instagram. Your feed loads with posts.

Concept: GET Request

GET is used to fetch data. Nothing changes. Nothing is created.You are just asking give me this data.

When Instagram loads your feed your app sends a GET request to Instagram's server.Server finds your posts. Returns them.
Your screen displays them.

No data was changed. Just fetched.

Use it when: Loading any page, fetching any list, getting any details user profile, product list, order history, search results.

✍️ You post a new photo on Instagram.

Concept: POST Request

POST is used to create something new.You are sending data to the server save this.

When you post a photo your app sends a POST request with the image and caption.Server saves it to the database.It now exists for everyone to see.

Use it when: User registration, placing an order, submitting a form,adding a product, posting a comment anything that creates new data.

✏️ You edit your Instagram bio.

Concept: PUT and PATCH Request

PUT replaces the entire resource.
PATCH updates only specific fields.

When you edit your bio only the bio field changes.Your name, profile picture, followers untouched. That's PATCH - update only what changed.

PUT would replace your entire profile with the new data.

Use it when:
PUT - replacing an entire record like updating a full user profile.
PATCH - updating one specific field like changing a password or email.

🗑️ You delete a comment on Instagram.

Concept: DELETE Request

DELETE removes something from the server.

When you delete a comment your app sends a DELETE request with the comment ID.Server finds it. Removes it. Gone.

Use it when: Removing any data deleting an account,
cancelling an order, removing a product, clearing a notification.

🔗 Instagram has separate addresses for posts, users, stories, and reels.

Concept: Endpoints

An endpoint is the specific address of a resource on the server.

Every type of data has its own address:
/users — for user data
/posts — for post data
/stories — for stories
/reels — for reels

Clean, specific, predictable addresses.
Each endpoint does one thing for one resource.

Use it when: Designing your project's API —every entity gets its own endpoint./donors, /hospitals, /inventory in a blood bank system./products, /orders, /users in an e-commerce system.

✅ You place an order on Swiggy. Something comes back confirming it worked.

Concept: HTTP Status Codes

Every API response comes with a status code telling you what happened.

200 — Success. Here's your data.
201 — Created. Your new resource was saved.
400 — Bad Request. You sent something wrong.
401 — Unauthorized. You're not logged in.
403 — Forbidden. You don't have permission.
404 — Not Found. That resource doesn't exist.
500 — Server Error. Something broke on our end.

When your Swiggy order confirms the server returns 201 Created.
When you search a restaurant that doesn't exist server returns 404 Not Found.

Use it when: Every API response in your project should return the correct status code not just 200 for everything.

📦 Instagram sends your feed data in a structured format your app can read.

Concept: JSON Response

REST APIs communicate using JSON JavaScript Object Notation.

It's just structured data.Key value pairs.Your app reads it and displays it.

Every API response user details, product info, order status comes back as JSON that your frontend parses and renders.

Use it when: Every API response in your project returns JSON.Spring Boot does this automatically.React reads it and updates the UI.

🔐 You can see your own Zomato orders. You cannot see someone else's.

Concept: Authentication and Authorization in APIs

Authentication — who are you?
Authorization — what are you allowed to do?

When you call /orders on Zomato the API checks your token first.
Are you logged in? That's authentication.Are these your orders? That's authorization.

Without a valid token — 401 Unauthorized.Trying to access someone else's orders — 403 Forbidden.

Use it when: Any API that returns personal or sensitive data needs authentication user profiles, order history, payment info.

📊 The Honest Summary

Real World Scenario	REST API Concept
Feed loads on Instagram	GET Request
You post a new photo	POST Request
You edit your bio	PATCH Request
You delete a comment	DELETE Request
/users /posts /orders addresses	Endpoints
Order confirmed — 201 Created	Status Codes
Data returned in structured format	JSON Response
Only you can see your orders	Authentication and Authorization

Final Thought

Every app you use daily is a collection of API calls.

Open Instagram — GET.
Post a photo — POST.
Edit profile — PATCH.
Delete comment — DELETE.

REST APIs are not a backend concept.They are the language your frontend and backend
use to talk to each other.

Once you see every user action as an API call building full stack applications starts to make complete sense. 😊

Which REST API concept finally clicked for you when you used it in a real project?

Drop it below 👇

I Learned Spring Boot in College - But Nobody Told Me What Each Part Actually Does

Anushka Quietly Building — Thu, 11 Jun 2026 11:58:47 +0000

You open Zomato. You search "pizza near me."Results appear in milliseconds.

Behind that screen Spring Boot is running.Handling your request. Talking to the database.Sending back the response.All in one smooth flow.

College taught me controllers, services, repositories, beans, autowiring, JPA.I wrote the code. It somehow worked.I had no idea why.

Here's where every Spring Boot concept actually lives in the real world.
Real example first, then the concept, then where to use it.

🛵 You open Zomato. You type "pizza". The app sends a request. Something receives it.

Concept: Controller

The Controller is the entry point of your application.It receives incoming requests and decides what to do with them.

When you search pizza on Zomato a request hits the Controller.The Controller says okay, someone wants pizza results.Let me ask the Service to handle this.

That's it. Controller just receives and delegates.It never does the actual work itself.

Use it when: Every API endpoint in your project lives in a Controller login, register, search, add to cart, place order.

🍕 Zomato checks if the restaurant is open, calculates delivery time, applies discounts.

Concept: Service Layer

The Service is where the actual business logic lives.

Controller received the pizza request.Now Service does the real work is this restaurant open right now?what's the estimated delivery time?does the user have any active coupons?

All the rules and decisions happen here.Service is the brain of your application.

Use it when: Every business rule, calculation, validation, and decision belongs in the Service layer never in the Controller, never in the Repository.

🗄️ Zomato needs to fetch all pizza restaurants from its database.

Concept: Repository

The Repository talks to the database.Nothing else. Just database communication.

Service says I need all pizza restaurants within 5km.Repository goes to the database, fetches them, and returns.

Service doesn't know how the database works.Repository doesn't know why the data is needed.
Each layer does exactly one job.

Use it when: Every database operation save, find, delete, update lives in the Repository. In Spring Boot, JpaRepository gives you all basic operations for free.

📦 Every time a request comes in, Spring Boot already has everything ready. You never create objects manually.

Concept: Beans and Dependency Injection

In Spring Boot you don't create objects with new keyword manually.Spring creates them for you and injects them wherever needed.

These managed objects are called Beans.

Your Controller needs a Service Spring injects it.Your Service needs a Repository Spring injects it.You just declare what you need with @Autowired.Spring handles the rest.

This is Dependency Injection objects are given to you, not created by you.

Use it when: Always. Every Service, Repository, and Controller in Spring Boot is a Bean managed and injected automatically.

🔄 Zomato's order goes through place order, deduct payment, update inventory. All must succeed or all must fail.

Concept: Transaction Management

A transaction is a group of operations that must all succeed together.

If payment is deducted but inventory update fails the system is in a broken state.

Spring Boot's @Transactional annotation handles this automatically.If anything fails midway everything rolls back.
No partial updates. No broken data.

Use it when: Any operation that involves multiple database changes that must succeed or fail together placing orders, transferring money, booking appointments.

🔐 You try to access your Zomato order history. The app checks if you're logged in first.

Concept: Spring Security and Filters

Every request in Spring Boot can pass through filters before reaching the Controller.

Spring Security acts as a gatekeeper.Before your request touches any Controller Security checks is this user authenticated?do they have permission for this endpoint?

If yes ,request goes through.If no , blocked immediately.

Use it when: Any application with login, roles, or protected endpoints needs Spring Security admin panels, user dashboards, payment pages.

⚠️ Something goes wrong in Zomato. Instead of a blank screen you get a proper error message.

Concept: Exception Handling with @ControllerAdvice

When something breaks in Spring Boot @ControllerAdvice catches the error globallyand returns a clean, meaningful response instead of a crash.

Restaurant not found return 404 with a message.Payment failed return 400 with a reason.Server error return 500 with a safe message.

One central place handles all errors across the entire application.

Use it when: Every production application needs global exception handling never let raw errors reach the user.

📊 The Honest Summary

Real World Scenario	Spring Boot Concept
Request comes in from the app	Controller
Business rules and decisions	Service Layer
Fetch or save data to database	Repository
Objects created and managed automatically	Beans and Dependency Injection
All database operations succeed or all fail	Transaction Management
Check if user is logged in before proceeding	Spring Security
Return clean error instead of crash	Exception Handling

Final Thought

Spring Boot feels like magic when you start.Annotations everywhere. Things just work.You have no idea why.

But once you understand each layer's job Controller receives.
Service decides.Repository fetches.Spring manages everything else.

It stops feeling like magic
and starts feeling like a very well designed system.

And well designed systems are the ones you actually enjoy building. 😊

Which Spring Boot concept confused you the most
when you first started?

Drop it below 👇