Coding Interviews9 min Read

Placement Prep 2026: I Was Terrified of LeetCode. Here's How My First 10 Problems Went.

By DevLingo Team • Published

If you're an engineering student right now, you know the pressure. It's the monster under the bed, the elephant in the room, the silent fear lurking in every placement conversation: LeetCode.

I get it. The sheer volume of problems, the complex algorithms, the pressure to crack that ₹12LPA+ dream job at a buzzing Bangalore startup or a product company in Hyderabad – it can feel overwhelming. Whether you're aiming for TCS NQT, Infosys SP, or even aspiring to Google India SDE-1, LeetCode seems like the ultimate gatekeeper.

Guess what? I was terrified too. For months, I procrastinated. I'd open the website, stare at the problem list, feel a wave of inadequacy, and close it again. The 'Easy' problems felt deceptively hard, and the 'Medium' ones looked like hieroglyphics. My goal of landing a high-paying software development role felt distant, almost impossible.

The Day I Finally Started: My LeetCode Journey Begins

One day, I just decided: Enough. I told myself, "Just solve ONE problem." It wasn't about understanding everything; it was about starting. My initial goal wasn't to ace interviews, but simply to complete ten problems, no matter how long it took or how many solutions I had to peek at.

Here’s a raw, honest look at what my first 10 LeetCode problems felt like, and what I learned from each phase:

Problems 1-3: The Absolute Basics & Sheer Frustration

  • **Type:** Mostly array manipulations, basic string operations, simple loops.
  • **Feeling:** Each problem felt like scaling Mount Everest. I spent hours on `Two Sum`. I tried brute force, then struggled with hash maps. Even understanding the problem statement sometimes took ages. The syntax errors were relentless. When I finally got that "Accepted" green tick, it was a tiny, hard-won victory.
  • **Lesson:** Consistency is more important than brilliance. And it's okay to struggle. *Everyone* struggles with their first few problems.

Problems 4-6: Glimmers of Hope & Heavy Reliance on Solutions

  • **Type:** Introduced to basic sliding window, slightly more complex string parsing, maybe a simple recursion without explicit mention.
  • **Feeling:** I started recognizing patterns, but solutions still felt out of reach. I spent significant time on a problem (e.g., 45-60 minutes), and if I was stuck, I'd open the solution tab. My mind would explode with an "Oh, *that's* how you do it!" moment, followed by immense self-doubt for not thinking of it. I'd then meticulously trace the solution's logic.
  • **Lesson:** Looking at solutions isn't cheating. It's learning. The key is to understand *why* that solution works, not just copy-paste. Then, try to re-implement it from scratch without peeking.

Problems 7-10: Building Blocks & Small "Aha!" Moments

  • **Type:** Deeper into hash maps, perhaps a basic tree traversal, or a slightly tricky array problem requiring a two-pointer approach.
  • **Feeling:** This is where things started to click, ever so slightly. I could often identify the data structure or algorithm needed. My initial attempts were still flawed, but I wasn't completely lost. Debugging became less about despair and more about logical deduction. The "Accepted" count started increasing, and with it, my confidence.
  • **Lesson:** Your brain *is* learning, even when you don't realize it. Every failed attempt, every correct solution you study, builds a neuron connection. The foundational concepts of Data Structures and Algorithms (DSA) began to solidify.

Key Takeaways from My First 10 Problems:

1. **Start Small, Celebrate Every Win:** Don't aim for 'Hard' problems or try to solve 100 in a week. Focus on one problem, then another. That first "Accepted" is a huge morale booster. 2. **Embrace the Struggle:** It’s part of the process. Every expert was once a beginner. The frustration you feel means your brain is working hard to learn something new. 3. **Solutions Are Your Teachers:** If you're stuck for a long time (say, 30-45 minutes), look at the solution. Understand it thoroughly. Then, try to implement it yourself without looking. This active learning is crucial. 4. **Consistency Over Intensity:** 30 minutes of focused practice daily is far more effective than an 8-hour marathon session once a week. 5. **Focus on Fundamentals:** My first 10 problems hammered home the importance of arrays, strings, basic loops, and hash maps. Master these before moving to more complex topics.

Why This Journey Matters for Your ₹12LPA+ Dream Job

This isn't just about LeetCode; it's about building a problem-solving mindset. That's what companies like Google India SDE-1, top Bangalore startups, and even roles in TCS NQT or Infosys SP are looking for. They want to see how you think under pressure, how you approach complex problems, and how well you understand core computer science concepts.

My first 10 problems didn't make me an expert, but they showed me that the monster under the bed wasn't so scary after all. It was just a series of solvable puzzles, waiting for me to take the first step.

Your Journey Starts Here with DevLingo

Feeling ready to tackle your first 10, 50, or even 100 problems? DevLingo is here to make that journey engaging and effective. With gamified learning paths tailored for placement preparation, you can conquer DSA topics with confidence, track your progress, and get expert guidance. Stop fearing LeetCode, and start mastering it.

Join DevLingo today and turn your placement dreams into a reality. Your ₹12LPA+ job at a top-tier company is within reach!

Frequently Asked Questions

How does practicing these problems help in actual interviews for companies like Google or Infosys?

LeetCode hones core DSA and problem-solving skills, which are fundamental to technical interviews. Companies like Google India SDE-1 rigorously test these, while even roles for TCS NQT and Infosys SP often involve basic coding challenges and logical reasoning that benefit from this practice. It's about demonstrating your ability to think algorithmically under pressure, optimize solutions, and communicate your thought process effectively. This skill is invaluable for any software development role, especially in competitive tech hubs like Bangalore and Hyderabad.

What's a common mistake freshers make when starting LeetCode, and how can they avoid it?

A common mistake is jumping straight to 'Medium' or 'Hard' problems, or endlessly trying to solve a problem without understanding the underlying concepts, leading to burnout and frustration. To avoid this, start with 'Easy' problems, master the basic data structures (Arrays, Strings, Hash Maps, Linked Lists), and consistently practice. If stuck for too long (e.g., 30-45 mins), look at the solution, understand it thoroughly, and then try to re-implement it without looking. Prioritize understanding and consistency over the number of problems solved or their difficulty level.

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