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Home/Blog/Should You Say 'Fuck LeetCode' and Quit, or Learn to Beat the System?

Should You Say 'Fuck LeetCode' and Quit, or Learn to Beat the System?

Marcus Liu
Oct 25, 2025
15 min read
Career AdviceDecision MakingLeetCodeTech IndustrySalary
You're at a crossroads. You can refuse to play the LeetCode game and target companies that hire differently, or you can swallow the pill and grind. Which path is right for you? A decision framework.

You've hit the wall. You've spent three weekends in a row staring at "Trapping Rain Water," and you're asking yourself: "Is this worth it?"

The "Fuck LeetCode" sentiment isn't just a meme; it's a genuine career crisis. You have a choice to make, and it feels binary:

  1. Submit: Grind for months, hate your life, and maybe get a FAANG job.
  2. Rebel: Refuse to do LeetCode, limit your options, and potentially earn less.

But is it really that simple?

This article provides a decision framework to help you choose your path. We'll analyze the "Quit" path (non-LeetCode companies) and the "Play" path (Big Tech), looking at the real costs and rewards of each so you can make a choice based on data, not just frustration.

TL;DR

  • The Problem: Developers feel trapped between two extremes: suffering through LeetCode grind or limiting their career options—but the choice isn't binary, it's a trade-off calculation
  • Why It Matters: Making this decision emotionally (out of anger or fear) leads to regret; making it strategically (based on career goals) leads to peace of mind
  • Core Framework: Compare three paths: (1) The "Quit" Path (target non-LeetCode companies, rely on portfolio), (2) The "Play" Path (grind for FAANG, accept the cost), (3) The "Hack" Path (strategic, low-volume prep for mid-tier tech)
  • Common Mistake: Assuming "No LeetCode" means "Easy Interview"—companies that don't ask algorithms often have grueling take-home projects or intense system design rounds that take just as much effort
  • What You'll Learn: A concrete decision matrix to evaluate which path fits your current life stage, how to find companies that align with your choice, and how to execute your chosen strategy effectively

Option A: The "Quit" Path (Refusing to Play)

You decide: "I am a professional engineer, not a competitive programmer. I will not do LeetCode."

The Strategy

You target companies that prioritize practical skills. You rely on your GitHub, portfolio, open-source contributions, and experience.

Where to Look

  • Early-stage startups: They need builders, not theoretical optimizers.
  • Consultancies/Agencies: They value speed and shipping.
  • Non-tech F500: Banks, retail, manufacturing (though some are adopting LeetCode).
  • Lists: Hiring Without Whiteboards, They Don't LeetCode.

The Pros

  • Sanity: No weekends spent grinding DP problems.
  • Relevance: Interviews feel like actual work (take-homes, pair programming).
  • Respect: You feel valued for what you can actually do.

The Cons

  • Smaller Pool: You eliminate ~80% of the highest-paying jobs (FAANG + Unicorns).
  • Different Grind: Take-home projects can take 10-20 hours. Is that better than 10 hours of LeetCode?
  • Lower Ceiling: While high-paying non-LeetCode jobs exist, the average compensation is lower than Big Tech.

Who This Is For

  • Builders who have a strong portfolio.
  • Senior engineers with a deep network (referrals bypass screens).
  • People who prioritize work-life balance over maximizing TC (Total Compensation).

Option B: The "Play" Path (Embracing the Grind)

You decide: "I hate it, but I want the money/prestige. I will do whatever it takes."

The Strategy

You treat LeetCode like a part-time job. You follow the Blind 75. You pay for LeetCode Premium. You mock interview until you're robotic.

Where to Look

  • FAANG (MAMAA): Meta, Amazon, Apple, Netflix, Google.
  • Unicorns: Stripe, Uber, Airbnb, Databricks.
  • HFT: High-frequency trading firms (harder than FAANG).

The Pros

  • Compensation: 500k+ TC is normal.
  • Prestige: "Ex-Google" on your resume opens doors forever.
  • Mobility: Once you pass the bar, it's easier to hop between big tech companies.

The Cons

  • Time Cost: 3-6 months of your life, gone.
  • Stress: High-pressure interviews.
  • False Negatives: You can study for months and still fail because you got a question you didn't see.

Who This Is For

  • Junior/Mid-level engineers wanting to maximize earnings early.
  • People who can tolerate rote memorization.
  • Those willing to sacrifice short-term happiness for long-term resume value.

Option C: The "Hack" Path (The Middle Way)

You decide: "I won't grind 500 problems, but I'll learn the patterns to pass reasonable interviews."

The Strategy

You don't aim for Google. You aim for "Tier 2" tech companies or pragmatic teams. You learn the top 15 patterns but don't memorize obscure hards.

The Approach

  1. Pattern Recognition: Learn when to use a hash map, not how to implement a Red-Black tree.
  2. Communication: You compensate for imperfect code with perfect communication.
  3. Tooling: Use tools like LeetCopilot to speed up learning, focusing on intuition rather than brute-force repetition.

The Pros

  • Efficiency: 80% of the results for 20% of the effort.
  • Balance: You can still have a life while prepping.
  • Access: Opens up most tech jobs, even if you fail the hardest Google rounds.

The Cons

  • Risk: You might still bomb a hard interview.
  • Ceiling: You might miss out on the absolute top-tier offers that require perfection.

The Decision Matrix

Still unsure? Use this simple matrix.

FactorChoose "Quit"Choose "Play"Choose "Hack"
Primary GoalJob satisfaction, respectMaximize TC, PrestigeCareer growth, Balance
Time Available< 5 hours/week15+ hours/week5-10 hours/week
Tolerance for BSLowHighMedium
Current SkillStrong builder, weak algoGood memorizerBalanced
Financial NeedStableHigh growth neededModerate growth

How to execute your choice

If You Choose "Quit":

  1. Polish your GitHub: It needs to be impressive to replace the code test.
  2. Network aggressively: Referrals are your best way to bypass automated screens.
  3. Filter job descriptions: Look for "practical interview," "take-home," or "discussion-based."

If You Choose "Play":

  1. Commit to a schedule: 2 hours every morning. No excuses.
  2. Follow a roadmap: NeetCode 150 or Blind 75. Don't wander.
  3. Mock interview: You need to perform under pressure.

If You Choose "Hack":

  1. Focus on patterns: Sliding Window, Two Pointers, BFS/DFS.
  2. Use AI assistance: Use LeetCopilot to explain why a solution works, building intuition faster.
  3. Target the right companies: Ask recruiters: "What does your interview process look like?" If they say "Hard DP problems," skip them.

FAQ

Can I switch paths later?

Absolutely. Many people "Play" early in their career to get the FAANG stamp, then "Quit" later to join startups. Or they "Quit" early to build skills, then "Play" later to cash out.

Is the "Quit" path risky?

Only if you don't have a portfolio. If you refuse LeetCode AND have nothing to show, you're unemployable. You must prove competence somewhere.

Does LeetCopilot help with the "Quit" path?

Indirectly. It helps you understand code faster, which is useful for any engineer. But it's primarily designed to make the "Play" and "Hack" paths much more efficient.

What if I choose "Play" and fail?

You haven't wasted your time. You've improved your problem-solving skills and discipline. You can pivot to the "Hack" path easily.

Conclusion

There is no moral superiority in refusing to do LeetCode. There is also no honor in grinding it mindlessly.

It's a business decision.

  • If the ROI of a FAANG salary is worth 3 months of suffering, do it.
  • If you value your sanity and autonomy more than a specific logo on your resume, don't.

The most important thing is to decide. Don't sit in the middle, half-grinding and half-complaining. That's the worst of both worlds.

Pick your path. Own the trade-offs. And then execute relentlessly.

If you choose to Play or Hack, we can help you do it faster. Check out LeetCopilot's features to see how AI can turn months of grinding into weeks of smart practice.

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