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Abhishek Gupta
Abhishek Gupta

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From Building Projects to Engineering Products

When I started building projects, I made a lot of mistakes.

I only focused on one thing:

“Make the project work somehow.”

I didn’t think about:

  • performance
  • scalability
  • clean architecture
  • optimization
  • maintainable code

If the feature worked, I was happy.

But everything changed when I began sharing my projects publicly and collaborating with other developers.

That’s when I realized:

Building a project and engineering a product are very different things.


🚀 The Beginner Mindset: Start Coding Immediately

Most beginner developers (including my past self) follow this pattern:

They get an idea like:

  • Let’s build an e-commerce app
  • Let’s build a WhatsApp clone
  • Let’s build a social media app

And they start coding immediately.

No research.

No planning.

No architecture.

No clarity about users.

At first, progress feels fast.

But after some time, confusion starts:

  • Should I use MongoDB or PostgreSQL?
  • Should I use Next.js or React?
  • How should my database schema look?
  • How will I store user data?
  • Can this handle many users?
  • How will authentication scale?
  • Should I use caching?

Now development slows down.

Because decisions were not made earlier.


❗ The Real Problem: Unclear Goal

Many developers take 6–7 months to build something that others finish in 2–3 months.

The reason is not skill.

The reason is unclear direction.

When the final goal is not clear:

  • you rewrite features
  • you change structure
  • you refactor repeatedly
  • you fix many bugs
  • you change tools mid-project

Time is lost not in coding —

but in deciding.


🧠 The Professional Mindset: Think Before You Build

Experienced developers don’t start coding immediately.

They first spend time understanding the product.

Sometimes:

  • 1 week
  • 15 days
  • 1 month
  • even 2 months

Only planning and designing.

They define clearly:

  • What problem are we solving?
  • Who are the users?
  • What features are required?
  • How many users should it support?
  • What should the architecture look like?
  • How will data be stored?
  • Which tech stack fits best?
  • What are the trade-offs?

Then they start coding.

Because decisions are already made.


🔍 Treat Projects Like DSA Problems

There is a strong similarity between DSA and system design.

In DSA, we don’t start coding immediately.

We:

  • understand constraints
  • choose algorithm
  • compare approaches
  • dry-run solution

Good engineers do the same with software systems.

They design first.

Then implement.


🧱 My Biggest Early Mistake: Messy Codebase

In my early projects and open-source contributions, I didn’t care about structure.

I created:

  • random folders
  • unclear file names
  • long functions
  • duplicated logic
  • inconsistent patterns

Everything still worked — so I ignored it.

But as the project grew:

  • contributors struggled to understand code
  • features became harder to add
  • bugs increased
  • refactoring became risky
  • even I struggled to understand my own code 😅

The codebase became scary.

This is called code quality debt.


📈 When Projects Grow, Structure Matters

At the beginning, you are alone.

But if your project becomes useful:

  • other developers want to contribute
  • new features are added
  • modules increase
  • complexity grows

If the foundation is weak:

The project becomes hard to scale.

Good structure from the beginning saves months later.


🔄 The Key Shift: Project → Product

The biggest mindset change in my journey was this:

❌ I am building a project

✅ I am engineering a product

A project is for learning.

A product is for users.

When you think like product engineering, you start asking:

  • Is this readable?
  • Is this maintainable?
  • Is this scalable?
  • Can others understand this easily?
  • Is architecture future-ready?

That changes your coding style completely.


📝 What I Do Before Starting Any Project Now

Now I never start coding immediately.

I first create a simple plan document.

It includes:

1. Problem Definition

What problem does this solve?

2. Target Users

Who will use this?

3. Core Features

What is necessary (not everything)?

4. Architecture Idea

Frontend + Backend + DB flow

5. Database Schema Draft

Entities and relationships

6. Tech Stack Decision

Why this stack?

7. Scaling Assumption

Expected number of users

8. Folder Structure Plan

Project organization

9. Implementation Phases

Step-by-step build plan

After this, coding becomes smooth and fast.


📚 Why Documentation Makes You a Better Engineer

One habit that improved my thinking a lot:

I started documenting my projects.

For each project, I write:

  • what it does
  • why I built it
  • challenges faced
  • solutions used
  • architecture decisions
  • trade-offs
  • lessons learned

This helps in two ways:

  1. Improves clarity of thinking
  2. Shows depth to other developers

People don’t judge quickly — they understand your engineering process.


🧩 DSA and Development Are Similar Journeys

DSA is not about solving 1000 problems.

It’s about learning how to think.

Similarly, building apps is not about making many projects fast.

It’s about becoming a strong engineer.


💡 Advice to Beginners (From My Experience)

If you are starting development:

  • Don’t rush into coding
  • Think before building
  • Design simple architecture
  • Keep code clean from day one
  • Plan folder structure
  • Define schema early
  • Document decisions
  • Treat projects like products

You will save months of time later.


✅ Final Thought

Making messy projects is normal at the beginning.

I also did the same.

But growth starts when you realize:

Good developers write code.

Great engineers design systems.

And the moment you start treating your projects like products —

your engineering level changes.

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