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# Introduction
Technical interviews should not about memorizing random questions. They’re about demonstrating clear considering, robust fundamentals, and the flexibility to purpose beneath strain. The quickest method to construct that confidence is to study from assets which have already helped 1000’s of engineers succeed.
On this article, we are going to discover 10 of probably the most trusted GitHub repositories for tech interview preparation, protecting coding interviews, system design, backend and frontend roles, and even machine studying interviews. Every repository focuses on what really issues in interviews, from information buildings and algorithms to scalable system design and real-world tradeoffs.
# GitHub Repositories for Acing Tech Interviews
// 1. jwasham/coding-interview-university
Coding Interview College is a checklist-based, multi-month research plan for software program engineering interviews, targeted on the core CS subjects that matter most (information buildings, algorithms, Large-O, and drawback observe). It began because the creator’s private roadmap and grew right into a structured repo with assets, every day steering, and a transparent path to prep for firms like Google, Amazon, and Microsoft.
// 2. donnemartin/system-design-primer
The System Design Primer is a structured, open-source information for studying find out how to design scalable methods and making ready for system design interviews. It organizes the scattered “methods at scale” ideas into one place, with clear trade-offs (like latency vs throughput and consistency vs availability), sensible constructing blocks (CDNs, load balancers, caches, databases, queues), and hands-on interview observe with instance options, diagrams, and Anki flashcards for spaced repetition.
// 3. yangshun/tech-interview-handbook
Tech Interview Handbook is a free, curated technical interview prep information for busy engineers, created by the creator of Blind 75/Grind 75. It covers the total interview journey end-to-end, together with coding interview greatest practices, curated drawback lists and patterns, algorithm cheatsheets, resume and behavioral prep, and even front-end assets, with most content material written instantly within the repo (not simply hyperlinks) and open for group contributions.
// 4. kdn251/interviews
Interviews is a complete coding interview prep repo curated by Kevin Naughton Jr., trusted by tens of 1000’s of engineers. It combines clear explanations of core information buildings and algorithms with categorized drawback implementations, reside coding observe, mock interview platforms, and studying assets, making it a sensible, all-in-one reference for making ready for FAANG-style interviews.
// 5. ashishps1/awesome-leetcode-resources
This Superior LeetCode DSA Sources repository is a structured assortment of high-quality supplies for mastering information buildings, algorithms, and customary LeetCode patterns. It focuses on pattern-based studying, elementary ideas, curated drawback lists like Blind 75 and Prime Interview units, plus templates, articles, movies, books, and visible instruments, making it a sensible hub for environment friendly coding interview preparation.
// 6. binhnguyennus/awesome-scalability
This Scalable Techniques Design Studying Checklist is a curated, well-organized library of articles, talks, books, and real-world case research that designate how large-scale methods keep quick, dependable, and resilient as they develop from 1000’s to billions of customers. It’s structured round sensible outcomes: diagnosing sluggish methods (scalability vs efficiency), stopping and recovering from outages (availability and stability), making ready for system design interviews (notes, architectures, diagrams), and even scaling the engineering org itself (hiring, administration, tradition).
// 7. DopplerHQ/awesome-interview-questions
Superior Interviews is a “meta-list” of technical interview assets: as a substitute of being a single query financial institution, it curates many high-quality lists of interview questions throughout an enormous vary of subjects. It’s meant that can assist you shortly discover interview questions for a particular stack or area with out searching throughout the web. The repo can also be marked as now not actively supported, so consider it as a big snapshot of hyperlinks that’s nonetheless helpful, however might embrace older/outdated assets.
// 8. Chalarangelo/30-seconds-of-interviews
30 Seconds of Interviews is a community-curated assortment of widespread interview questions with brief, clear solutions, designed for quick revision earlier than interviews. It focuses on sensible, continuously requested subjects throughout JavaScript, React, HTML, CSS, Accessibility, Node, and Safety. As a substitute of deep tutorials, it emphasizes fast recall, real-world understanding, and confidence beneath interview strain, making it ideally suited for last-minute preparation.
// 9. arialdomartini/Again-Finish-Developer-Interview-Questions
Again-Finish Developer Interview Questions is a discussion-driven assortment of open-ended questions protecting backend engineering, system design, databases, distributed methods, structure, safety, and staff practices. It deliberately gives no solutions, encouraging deep technical conversations quite than rote responses. The useful resource is greatest used to spark considerate dialogue and assess real-world reasoning, design tradeoffs, and engineering maturity as a substitute of checklist-style interviewing.
// 10. khangich/machine-learning-interview
Minimal Viable Research Plan for Machine Studying Interviews is a sensible, “concentrate on what really exhibits up” roadmap for ML Engineer and Knowledge Science interviews. It mixes ML system design case research (suggestion, feed rating, adverts, search), core ML fundamentals (statistics, classical ML, deep studying), and interview prep drills (SQL, a little bit of LeetCode the place wanted), all backed by curated readings, quizzes, and actual interview tales.
# Closing Ideas
If there may be one factor I’ve realized, it’s that good interview prep isn’t about gathering assets, it’s about utilizing the precise ones constantly. These repositories cowl coding, backend fundamentals, system design, scalability, and machine studying in a manner that really displays actual interviews.
My recommendation is straightforward: undergo as many job-relevant mock interviews as you possibly can. Study the pattern solutions, perceive the considering behind them, and construct the behavior of working towards round 20 questions on daily basis. When interview time comes, your solutions won’t really feel memorized or compelled, they may come naturally and with confidence.
Abid Ali Awan (@1abidaliawan) is a licensed information scientist skilled who loves constructing machine studying fashions. At the moment, he’s specializing in content material creation and writing technical blogs on machine studying and information science applied sciences. Abid holds a Grasp’s diploma in expertise administration and a bachelor’s diploma in telecommunication engineering. His imaginative and prescient is to construct an AI product utilizing a graph neural community for college students battling psychological sickness.
