Top 7 Resources to Crack FAANG-Level Coding and System Design Interviews in 2026

My favorite resources to crack FAANG level system design and coding interviews

Hello guys, cracking interviews at FAANG and other top-tier tech companies in 2026 requires more than just grinding LeetCode. Interviews today test coding fundamentals, system design depth, behavioral clarity, and communication skills — often across multiple rounds.

Over the years, I’ve tried dozens of platforms, books, and mock interview tools. Some were great for algorithms, others for system design, and a few stood out for realistic interview practice.

In this article, I’m sharing 7 of the best resources that together cover everything you need to prepare for FAANG-level coding and system design interviews in 2026 — from DSA and patterns to large-scale architecture and behavioral rounds.

7 Best Resources to Crack FAANG Level System Design and Coding Interviews in 2026

Without any further ado, here are the 7 best resources and platforms you can use to crack FAANG level system design and coding interviews in 2026

1. ByteByteGo (System Design + Architecture + Coding Patterns)

Best for: System Design, Software Architecture, ML & GenAI Design

ByteByteGo has become one of the most complete system design platforms available today. What makes it stand out is its visual-first explanation style, which mirrors how interviewers actually expect you to reason during design rounds.

It covers:

Classic system design interviews (YouTube, Chat systems, Rate Limiters)
Object-Oriented Design interviews
Machine Learning and Generative AI system design
Coding interview patterns (Two Pointers, Sliding Window, etc.)

If system design is your weak spot, this platform alone can dramatically improve your confidence.

Current deal:
ByteByteGo Lifetime Plan (50% OFF)

2. AlgoMonster (DSA & Coding Interviews)

Best for: Data Structures & Algorithms with patterns

AlgoMonster focuses on what actually matters for coding interviews: patterns instead of memorization. Instead of solving hundreds of random problems, you learn how to recognize and apply patterns like BFS, DFS, Sliding Window, Binary Search, and more.

Why it works:

Clear explanations before jumping into problems
Pattern-based structure (very FAANG-friendly)
Great balance between theory and practice

Current deal:
AlgoMonster Lifetime Plan (50% OFF)

3. Educative Premium Plus (Structured Learning Paths)

Best for: End-to-end interview preparation with depth

Educative is ideal if you prefer structured, text-based learning over videos. Their interactive courses on DSA, system design, and OOP are some of the most thorough available.

What you get:

System Design Interview courses
Grokking the Coding Interview patterns
Mock interview prep and quizzes
AI-powered learning assistance

Current deal:
Educative Premium Plus (55% OFF)

4. Exponent (System Design + Behavioral Interviews)

Best for: Real interview practice and behavioral prep

Exponent shines where most platforms fall short: realistic interview practice. Their mock interviews, peer sessions, and behavioral interview prep are extremely valuable for senior and staff-level roles.

Key strengths:

Live and recorded mock interviews
System design walkthroughs by ex-FAANG engineers
Strong behavioral interview frameworks (STAR method, leadership principles)

Current deal:
Exponent Annual Plan (70% OFF)

5. DesignGurus (Interview-Focused Courses)

Best for: Structured interview-specific content

DesignGurus offers deep, interview-focused courses on:

System Design
Coding interview patterns
Object-Oriented Design
Behavioral interview preparation

Their content is very practical and aligned with real interview questions.

Current deal:
DesignGurus All Course Bundle (55% OFF)

6. Codemia (Hands-on Coding Practice)

Best for: Practical coding and problem-solving

Codemia is a newer platform focused on hands-on coding practice with a clean interface and modern problem sets. It’s a good complement to pattern-based learning platforms.

Why consider it:

Clean coding environment
Focus on real interview-style problems
Lifetime access makes it cost-effective

Current deal:
Codemia Lifetime Plan (60% OFF)

7. Bugfree.ai (System Design & Behavioral Mock Interviews)

Best for: System design and behavioral feedback using AI

Bugfree.ai is an interesting addition for 2026. It helps you practice system design and behavioral interviews with AI-driven feedback — especially useful if you don’t have regular access to mock interview partners.

Use cases:

Practicing system design explanations
Improving behavioral responses
Refining communication and structure

Current deal:
Bugfree.ai Sale (25% OFF)

How to Use These Resources Together (Recommended Strategy)

If your goal is FAANG-level interviews, don’t rely on just one platform:

Coding (DSA): AlgoMonster + Codemia
System Design: ByteByteGo + DesignGurus
Behavioral & Mock Interviews: Exponent + Bugfree.ai
Structured Learning: Educative Premium Plus

This combination covers every interview round — coding, system design, OOP, ML/AI design, and behavioral interviews.

Conclusion

That’s all about the best resources you can use to prepare for FAANG level System Design and Coding interviews in 2026. Interview preparation in 2026 is no longer about solving 500 random problems. It’s about:

Recognizing patterns
Explaining trade-offs clearly
Designing scalable systems
Communicating your thinking confidently

The 7 resources above are the ones I’d personally recommend if you’re serious about cracking FAANG-level interviews. With current discounts and lifetime plans available, this is also one of the best times to invest in your interview prep.

Other System Design Tutorials and Resources you may like

All the best for your System Design Interviews, if you have any doubts or questions, feel free to ask in the comments.

P. S. — If you just want to do one thing at this moment, go join ByteByteGo and start learning System Design and Coding Interview concepts, you will thank me later. It’s one of the most comprehensive resource for system design interview now covering OOP Design, ML Design, Gen AI Design and traditional System Design.

System Design · Coding · Behavioral · Machine Learning Interviews

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