If you’re reading this, chances are you’ve just started grinding LeetCode, or you’re thinking about it because interviews are around the corner.

I’ve learned that interview preparation isn’t about solving thousands of random problems. It’s about building the right habits, recognizing patterns, and learning how to think under pressure.

These are the principles I want to remind myself of whenever I feel stuck.

1. Don’t Aim for Perfection. Aim for Consistency.

A lot of people ask:

“How many LeetCode problems should I solve?”

There’s no magic number, but 200 well-understood problems is a solid milestone.

I’d rather deeply understand 200 problems than blindly complete 1,000.

Every solved problem should teach you something new.

2. Start With the Right Problems

Don’t randomly pick questions.

Follow a structured path.

I’d recommend starting with the Top 150 Interview Questions because they cover the patterns companies repeatedly ask.

Within each topic:

  • Solve the easy problems first.
  • Move to medium once you’re comfortable.
  • Save the hard problems until you’ve mastered the fundamentals.

Hard problems don’t make you interview-ready.

Understanding the basics does.

3. Every Solution Can Be Better

Getting an Accepted submission isn’t the finish line.

Ask yourself:

  • Can I reduce the time complexity?
  • Can I reduce the space complexity?
  • Is there a cleaner approach?
  • Is there a common pattern I’m missing?

Interviewers care less that your solution works and more that you can improve it.

Optimization is a skill that develops over time.

4. Explain Your Thinking Out Loud

One mistake many people make is silently solving problems.

Real interviews aren’t silent.

Practice talking while coding.

Explain:

  • what you’re thinking,
  • why you’re choosing a data structure,
  • why one solution is better than another,
  • and what edge cases you’re considering.

It’ll feel awkward at first.

Eventually, it becomes second nature.

5. See the Big Picture Before the Details

When you first read a problem, resist the urge to immediately start coding.

Instead, ask yourself:

  • What category does this belong to?
  • Have I seen something similar?
  • Does this smell like Binary Search?
  • Could this be Sliding Window?
  • Is this a Graph problem?

Most interview questions are simply variations of familiar patterns.

Recognizing the pattern is often harder than writing the code.

6. It’s Okay to Walk Away

One of the biggest lessons I’ve learned:

If you’ve spent an hour staring at the same problem without meaningful progress…

Stop.

Move on.

Seriously.

Your brain keeps working even when you’re not consciously thinking about the problem.

Many times I’ve returned the next day and solved something that felt impossible the night before.

Taking a break isn’t giving up.

It’s giving yourself a fresh perspective.

7. Speed Matters

Eventually, solving the problem isn’t enough.

You need to solve it efficiently.

A good benchmark is being able to solve a medium interview question in around 35 minutes.

Most technical interviews last about 45 minutes, and that includes:

  • asking clarifying questions,
  • discussing your approach,
  • writing the code,
  • testing edge cases,
  • and answering follow-up questions.

Time management is part of the interview.

The Core Topics Everyone Should Master

These are the building blocks of most coding interviews.

  • Arrays
  • Hash Maps
  • Strings
  • Two Pointers
  • Sliding Window
  • Binary Search
  • Intervals
  • Stack
  • Queue
  • Linked Lists
  • Trees
  • Breadth-First Search (BFS)
  • Depth-First Search (DFS)
  • Heaps / Priority Queues
  • Graphs

Don’t rush through them.

The goal is to recognize these patterns instantly.

My Learning Process for Every Problem

Instead of simply solving problems, I’ve started following a repeatable process.

1. Solve it on paper first

Forget the IDE.

Think through the algorithm with a whiteboard or notebook.

If you can’t explain it without code, you probably don’t fully understand it.

2. Translate your idea into code

Once the algorithm makes sense, coding becomes much easier.

The code is simply the implementation of your thought process.

3. Looking at solutions is okay

There’s nothing wrong with checking the solution.

The mistake is copying it.

Instead, ask yourself:

Why did this approach work?

Understand the reasoning—not just the syntax.

4. Extract the pattern

Every solved problem should leave you with a reusable idea.

Ask:

  • Where else can I use this?
  • What pattern did I just learn?
  • What should I recognize faster next time?

Patterns are far more valuable than memorized solutions.

5. Do contests

Practice under time pressure.

Coding contests force you to:

  • think quickly,
  • manage stress,
  • and prioritize problems.

Interview pressure becomes much easier after enough timed practice.

Don’t Ignore System Design

If you’re aiming for internships or junior roles, coding interviews are only part of the journey.

As you progress, start learning system design fundamentals.

Focus on understanding concepts like:

  • Load Balancers
  • Caching
  • Queues
  • Databases
  • Event-Driven Systems
  • API Gateways
  • Rate Limiting

You don’t need to become an expert overnight.

Just understand why these systems exist and the problems they solve.

Resources I’d Recommend

Coding

NeetCode - https://neetcode.io

One of the best structured resources for mastering coding interview patterns.

System Design

ByteByteGo - https://bytebytego.com

Worth every penny if you’re serious about understanding scalable systems.

Frontend Interviews

Frontend Interview Handbook - https://www.frontendinterviewhandbook.com

An excellent resource for frontend-specific interview preparation.

YouTube Channels

Whenever I need concepts explained visually, these are my go-to channels:

Final Thoughts

LeetCode isn’t really about memorizing solutions.

It’s about training your brain to recognize patterns, communicate clearly, and solve problems under pressure.

There will be days when every problem feels impossible.

There will be days when you question whether you’re improving.

Keep going.

Every difficult problem you struggle through today becomes an easy pattern you’ll recognize tomorrow.

One day, you’ll open a problem, immediately know which algorithm to use, explain your reasoning confidently, and finish with time to spare.

That’s when you’ll realize all those hours weren’t just about passing interviews.

They taught you how to think.