Cracking the Coding Interview: A Realistic Plan

A realistic, non-overwhelming plan for coding interviews — what they actually test, how to practise so it transfers, and why explaining your thinking out loud matters as much as the answer.

Free preview · 1 of 3 free left
Topic: Student Life Guide intermediate 9 min read

Why this matters

Coding interviews are the gatekeeper for most software roles, and most advice amounts to "grind 500 problems" — both intimidating and inefficient. What works is understanding what these interviews test and practising in a way that transfers, which is far less soul-crushing and more effective.

What you'll learn

What coding interviews really assess, a realistic practice plan that doesn't require hundreds of problems, and why how you solve a problem matters as much as whether you solve it.

What they actually test

Most students assume interviews test whether you produce a correct answer. They partly do — but what they really assess is your problem-solving process: can you break down an unfamiliar problem, reason about approaches, discuss trade-offs, and communicate clearly? A candidate who talks through a sensible approach but doesn't fully finish often beats one who silently produces a correct answer.

A realistic practice plan

  1. Build the DSA foundation first — see Data Structures & Algorithms: How to Actually Start.
  2. Practise by pattern, not by volume. Most problems fall into a manageable number of recurring patterns. Understanding why a pattern applies transfers; memorizing individual solutions doesn't.
  3. Practise explaining out loud. Since communication is half of what's tested, narrate your thinking as if someone's listening. Better yet, practise with a friend playing interviewer.
  4. Do fewer problems, but review them properly. Ten problems deeply understood beat fifty rushed. Revisit ones you struggled with a week later.
  5. Simulate real conditions occasionally. Closer to interviews, practise under mild time pressure — but most practice should be calm and understanding-focused.

In the room

Don't jump straight to code. Restate the problem, talk through your approach before writing, and think out loud. If stuck, say what you're stuck on — interviewers often nudge you, and how you handle being stuck is part of the assessment.

What's next

Interviews are one half; strong materials are the other — see Portfolio Projects That Actually Impress and How to Find Your First Internship. In final year these scale up in Placement Season: A Survival Playbook.

Part of: Third Year

Continue learning

Guide

Data Structures & Algorithms: How to Actually Start

A sane starting point for DSA that avoids the two common traps — grinding problems with no understanding, and drowning in theory with no practice — plus the order to learn topics in.

← Back to Guides

Next → Data Structures & Algorithms: How to Actually Start A sane starting point for DSA that avoids the two common traps — grinding problems with no understanding, and drowning in theory with no practice — plus the order to learn topics in.