Best of Interview Questions — 2025

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    I was bad at Data Structures and Algorithms. Then I did this.

    Andrew shares a detailed roadmap on how he learned data structures and algorithms from scratch. Despite not having a computer science degree, he self-taught these concepts using free online resources and various courses, and now works as a software engineer. He emphasizes the importance of Big O notation, recommends resources like YouTube tutorials and certain books, and advises on practical coding practice with platforms like CodeWars and LeetCode. He also suggests using ChatGPT for additional help and maintaining a fun and consistent learning approach.

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    Article
    Avatar of communityCommunity Picks·1y

    Tips to become 10x better in Tech Interviews

    Gourav Khanijoe, a Staff Engineer at HubSpot, shares five insightful tips to enhance your performance in tech interviews. Key points include building a reliable professional network, viewing each interview as a learning opportunity, crafting adaptable stories for behavioral questions, smart approaches to Leetcode challenges, and using storytelling in system design interviews. These strategies focus on making the best use of your skills and experiences to stand out from the crowd.

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    How to Start LeetCode from ZERO in 2025

    LeetCode remains essential for coding interviews at major tech companies like Amazon, Google, and Microsoft. To start effectively, focus on understanding basic data structures and algorithms, and practice solving problems consistently. Start with easy problems and gradually tackle medium-level ones. Utilize available resources, avoid rushing through problems, and learn from each solution. Consistent practice and revisiting old problems help retain knowledge and improve problem-solving skills.

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    Article
    Avatar of medium_jsMedium·1y

    10 System Design Concepts You Must Master Before Your Next SDE Interview (with Resources)

    Preparing for system design interviews, especially for roles at big tech companies, requires mastering key concepts like web fundamentals, core components of large-scale systems, databases, caching, messaging and queuing systems, system communication, scalability, security, high availability, and fault tolerance. Practical knowledge and examples, such as designing an event notification system or Netflix architecture, are also crucial. Detailed resources and guides are recommended for in-depth understanding and effective preparation.

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    Article
    Avatar of francofernandoThe Polymathic Engineer·1y

    How (not to) fail a coding interview

    Coding interviews require specific preparation and are different from daily work. Common mistakes include not fully understanding the problem, not asking questions, not planning before coding, not thinking out loud, ignoring hints, not testing solutions, and not knowing Big O notation. Avoiding these can improve your performance. Project-based learning is recommended for skill development.

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    Article
    Avatar of javarevisitedJavarevisited·1y

    10 Best Tech/Programming Interview Prep Resources in 2025

    The post highlights the evolving landscape of tech interviews, emphasizing the need for preparation in areas like data structures, algorithms, system design, and AI-driven system design. It recommends various Educative.io courses covering these topics, including interactive coding exercises and real-world problem-solving patterns. The courses cater to different aspects of tech interviews, from coding to behavioral questions, and aim to help candidates stay ahead of the latest trends in 2025.

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    Article
    Avatar of javarevisitedJavarevisited·1y

    8 Best Data Structures and Algorithms Books for Software Engineers and Developers

    Data structures and algorithms are fundamental to solving programming problems, and mastering them is crucial for any programmer. This post lists eight top-rated books that provide comprehensive, practical, and engaging methods to learn these crucial concepts. The books include illustrated guides, detailed examples, interview preparation material, and are paired with relevant online courses to enhance the learning experience for both beginners and experienced programmers.

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    Article
    Avatar of javarevisitedJavarevisited·1y

    Master Coding Interview Preparation in 2025 with These 15 Patterns

    Preparing for coding interviews in 2025 is made easier by mastering 15 key coding patterns. These patterns streamline the problem-solving process, helping you tackle various interview challenges efficiently. They include techniques like Two Pointers, Sliding Window, and Dynamic Programming. Rather than spending time on countless LeetCode problems, focusing on these patterns can optimize your preparation and increase your chances of success.

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    Article
    Avatar of collectionsCollections·1y

    Essential Guide to Mastering Data Structures and Algorithms in 2025: Top Resources and Roadmap

    Mastering data structures and algorithms (DSA) is essential for excelling in technical interviews and solving complex coding problems. This guide outlines a comprehensive roadmap, including learning phases from programming basics to core data structures and algorithms. It also recommends top resources such as books, online courses, and practice platforms to help developers systematically build their DSA knowledge and skills.

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    Article
    Avatar of javarevisitedJavarevisited·36w

    How ByteByteGo Helps You Transition from Senior Engineer to Architect?

    ByteByteGo offers structured learning paths for senior engineers transitioning to software architect roles through visual system design guides, real-world case studies, and comprehensive coverage of architectural concepts. The platform provides systematic progression from basic concepts like load balancing and caching to advanced topics like sharding and consensus protocols, helping engineers develop the system-level mindset required for architecture positions.

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    Article
    Avatar of collectionsCollections·42w

    Mastering Data Structures and Algorithms for Coding Interviews

    A comprehensive guide covering essential data structures and algorithms needed for coding interview success. Key topics include arrays, hashmaps, linked lists, binary search, graph traversal algorithms, and dynamic programming. The guide emphasizes pattern recognition over random problem solving, recommending a structured approach of mastering 100-150 problems across common coding patterns like sliding window and two pointers.

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    Article
    Avatar of francofernandoThe Polymathic Engineer·43w

    How to Tackle Coding Interviews

    A structured 7-step framework for succeeding in coding interviews: listen carefully to understand the problem, create meaningful examples, start with brute force solutions, optimize using BUD methodology (bottlenecks, unnecessary work, duplicated work), walk through the algorithm before coding, write clean modular code with descriptive variables, and thoroughly test the solution. The approach emphasizes communication, systematic problem-solving, and demonstrating debugging skills when issues arise.

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    Article
    Avatar of communityCommunity Picks·1y

    The Ultimate Strategy to Solve Any Coding Problem

    This comprehensive guide provides a step-by-step strategy for effectively solving any coding problem. Key steps include understanding the problem thoroughly, breaking it down into inputs, outputs, and requirements, designing an approach with both brute force and optimization techniques, writing a plan before coding, implementing a clean and modular solution, testing with diverse cases, and continuously optimizing and practicing problem-solving skills.

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    Article
    Avatar of javarevisitedJavarevisited·37w

    How ByteByteGo Makes System Design Easy for Visual Learners?

    ByteByteGo excels at teaching system design through visual-first learning, using clear diagrams and step-by-step breakdowns to explain complex concepts like caching, load balancing, and distributed systems. The platform offers consistent visual materials across books, videos, and courses, featuring real-world case studies of systems like YouTube, Twitter, and Uber. Visual learners benefit from the diagram-driven approach that transforms abstract concepts into clear, memorable mental maps, making it particularly effective for technical interview preparation.

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    Article
    Avatar of bytebytegoByteByteGo·45w

    7 Years, 8 Books, 1 Launch. A lot more to come!

    Alex Xu reflects on his 7-year journey from leaving Twitter to building a successful technical publishing business. Starting with writing his first System Design Interview book, he has now published 8 books including 7 Amazon bestsellers, collaborated with multiple authors, and launched ByteByteGo as an all-in-one interview preparation platform. The post celebrates this milestone while announcing that all books are now available on the ByteByteGo website.

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    Article
    Avatar of javarevisitedJavarevisited·1y

    System Design Interview Cheat Sheet (2025 Edition) — Key Concepts, Books, Courses & Resources

    This post provides a comprehensive cheat sheet for cracking system design interviews, covering essential concepts such as load balancing, caching, databases, networking, data storage, and scaling patterns. It also lists recommended books, courses, and free resources to help candidates prepare for interviews at top tech companies like Google and Amazon.

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    Article
    Avatar of addyAddy Osmani·1y

    The Art of Tech Interviewing

    Top candidates in technical interviews distinguish themselves by being great communicators, embracing transparency, using uncertainty as a strength, prioritizing problem-solving over perfection, showcasing authenticity, reframing failures constructively, and practicing structured adaptability. These qualities are valued more than delivering flawless solutions, as they demonstrate readiness for real-world engineering challenges.

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    Video
    Avatar of developedbyeddevelopedbyed·42w

    Leetcode is not scary, it's actually really fun

    LeetCode problems are actually enjoyable brain training exercises rather than scary interview hurdles. The key is approaching them as puzzles that build problem decomposition skills applicable to real-world programming. Starting with structured roadmaps like arrays and hashing, then gradually building intuition through practice makes the experience rewarding. Three classic problems demonstrate different approaches: two-sum shows optimization from O(n²) to O(n) using hash maps, contains duplicate leverages sets for efficient lookups, and valid anagram can be solved through character counting or string sorting techniques.

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    Video
    Avatar of youtubeYouTube·1y

    Do this to 10x your DSA

    To learn data structures and algorithms (DSA) efficiently, avoid reading comprehensive books front to back. Focus on recognizing patterns and practice regularly. Timing is crucial—if you can't solve a problem in 30 minutes, study the solution and understand it. Consistently work on at least one question daily and review multiple solutions. Choose a programming language you are comfortable with as DSA is language agnostic. Use study hacks like flashcards to remember algorithms and prioritize daily practice in the morning. Balancing DSA with other skills and activities is essential for career growth.

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    Article
    Avatar of javarevisitedJavarevisited·34w

    How I Combined ByteByteGo and Codemia.io to Crack System Design Interviews in 2025

    A developer shares their successful strategy for system design interview preparation by combining ByteByteGo's visual learning approach with Codemia.io's hands-on practice platform. ByteByteGo provided conceptual understanding through industry-leading diagrams of real systems like Twitter and Uber, while Codemia.io offered practical experience with actual interview problems and AI-driven feedback. This dual approach helped the author secure multiple FAANG offers by mastering both theoretical concepts and practical application skills.

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    Article
    Avatar of francofernandoThe Polymathic Engineer·1y

    Hashing in Coding Interviews

    Hash tables and sets are essential data structures for coding interviews due to their efficiency in checking existence and counting elements. They can optimize solutions by improving algorithm time complexity, often reducing it from O(n^2) to O(n). While these structures involve space-time trade-offs, their ability to handle large inputs and constraints efficiently makes them invaluable in software engineering challenges.

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    Article
    Avatar of javarevisitedJavarevisited·46w

    Top 140 Java Interview Questions Answers for 3 to 5 Years Experienced Programmers

    A comprehensive collection of 140 Java interview questions and answers specifically designed for developers with 3-5 years of experience. Covers advanced topics including multithreading and concurrency, JVM internals and garbage collection, Java collections framework, IO/NIO, design patterns, and coding challenges. The questions range from basic concepts to sophisticated topics like volatile variables, memory management, thread safety, and performance optimization. Includes practical coding examples and best practices for writing clean, efficient Java code.

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    Article
    Avatar of javarevisitedJavarevisited·43w

    ByteByteGo, NeetCode, or Educative.io? Which System Design Course is Best for 2025?

    Compares three popular system design learning platforms for 2025: ByteByteGo excels with visual diagrams and comprehensive coverage including ML and AI design, making it ideal for visual learners and experienced developers. NeetCode offers beginner-friendly content at affordable prices but lacks depth for advanced scenarios. Educative's Grokking course provides structured, proven content perfect for FAANG interviews but feels somewhat dated. The comparison includes pricing, pros/cons, and recommendations based on experience level, with additional suggestions for books and alternative resources.

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    Article
    Avatar of javarevisitedJavarevisited·38w

    How to Crack AI/ML/GenAI Interviews in 2025?

    A comprehensive guide for preparing AI/ML/GenAI interviews in 2025, emphasizing three core areas: daily coding practice with data structures and algorithms, building production-ready AI projects that demonstrate end-to-end capabilities, and mastering ML system design concepts. The guide recommends a structured 2-3 month preparation routine combining technical skills with practical project experience, highlighting that modern interviews test engineering capabilities beyond theoretical knowledge.

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    Avatar of javarevisitedJavarevisited·1y

    Top 15 Java Stream and Functional Programming Interview Questions and Answers

    Java 8 introduced significant changes, including the Stream API and functional programming idioms, making it essential for Java developers to understand these concepts for interviews. The post provides a list of common Java Stream and functional programming interview questions with answers, covering essential topics like map(), filter(), and flatMap() methods, alongside various functional interfaces. With investment banks and other companies heavily relying on these skills, mastering Java 8 is crucial for modern Java development.

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