awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
Back to suceser/android-interview-guide

Projects sharing features with Android Interview Guide

30 open-source projects similar to suceser/android-interview-guide, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • onthecodepath/ios-interview-questionsonthecodepath avatar

    onthecodepath/iOS-Interview-Questions

    987View on GitHub↗

    This project is a curated collection of technical questions and answers designed to assist developers in preparing for software engineering interviews within the iOS ecosystem. It serves as a structured study tool for evaluating proficiency in mobile application architecture, system design, and core programming concepts. The repository provides a comprehensive reference for essential development topics, including memory management, concurrency, design patterns, and data persistence. By covering these foundational areas, it enables users to review common industry interview subjects and test th

    interview-practiceinterview-questionsios
    View on GitHub↗987
  • itwanger/tobebetterjavaeritwanger avatar

    itwanger/toBeBetterJavaer

    16,678View on GitHub↗

    This project serves as a dual-purpose platform that functions both as a comprehensive software engineering learning resource and an autonomous agent orchestration framework. It provides a structured curriculum focused on the Java ecosystem, offering technical roadmaps, interview preparation materials, and career mentorship. Simultaneously, it acts as a technical foundation for building intelligent systems, enabling developers to construct complex, multi-step agent pipelines. The framework distinguishes itself by integrating advanced automation capabilities directly into its educational missio

    javajvmmysql
    View on GitHub↗16,678
  • junh0328/prepare_frontend_interviewjunh0328 avatar

    junh0328/prepare_frontend_interview

    1,725View on GitHub↗

    This project is a comprehensive technical interview study resource designed to help developers prepare for engineering job assessments. It functions as a structured guide that curates essential computer science fundamentals, web development standards, and programming language concepts into a format optimized for professional evaluation. The repository distinguishes itself by providing strategic guidance on architectural decision-making and professional communication. Beyond simple question-and-answer pairs, it offers frameworks for articulating experience during interviews and suggests profes

    JavaScriptfrontendhandbook
    View on GitHub↗1,725

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Find more with AI search
  • nas5w/interview-guidenas5w avatar

    nas5w/interview-guide

    4,267View on GitHub↗

    This project is a comprehensive set of roadmaps and curricula designed for technical, behavioral, and architectural interview mastery. It provides structured guides, frameworks, and checklists for mastering algorithmic coding, system design, and behavioral questions. The resource is distinguished by specialized study paths, including a frontend engineering curriculum and a dedicated system design framework for architecting scalable systems. It also features a behavioral interview playbook that utilizes a standardized response method to align professional experience with company values. The g

    Astrointerviewinterview-preparationleetcode
    View on GitHub↗4,267
  • apachecn/interviewapachecn avatar

    apachecn/Interview

    8,944View on GitHub↗

    This project is a comprehensive knowledge base and study resource designed for mastering technical interviews. It provides structured guides, roadmaps, and curricula focused on data structures, algorithms, system design, and frontend engineering to help candidates prepare for software engineering screenings. The repository distinguishes itself by offering a holistic approach to professional advancement. Beyond technical drills, it includes a career development handbook covering resume optimization, salary benchmarking, and strategic negotiation coaching. It also provides detailed methodologie

    Jupyter Notebookinterviewkaggleleetcode
    View on GitHub↗8,944
  • youngyangyang04/markdown-resume-templateyoungyangyang04 avatar

    youngyangyang04/Markdown-Resume-Template

    1,026View on GitHub↗

    This project is a technical resume generator that enables the creation of professional career summaries using plain text files. It functions as a static document generator, allowing users to maintain their professional history, skills, and project experience within a version-controlled workflow. The template utilizes a minimalist design language specifically structured for software engineering job applications. By separating content from presentation, it ensures that professional qualifications remain portable and readable. The layout is defined through declarative templates and print-oriente

    View on GitHub↗1,026
  • advanced-frontend/daily-interview-questionAdvanced-Frontend avatar

    Advanced-Frontend/Daily-Interview-Question

    27,505View on GitHub↗

    This project is an automated code assessment tool and educational platform designed for frontend interview preparation. It provides a curated collection of technical challenges that allow developers to practice JavaScript mechanics, algorithmic problem solving, and core software engineering concepts. The platform utilizes a component-driven interface to organize and present educational content, which is managed through markdown-based modeling. It distinguishes itself by integrating automated evaluation systems that analyze user-submitted logic through abstract syntax tree analysis and sandbox

    JavaScriptcssinterviewjavascript
    View on GitHub↗27,505
  • hit-alibaba/interviewHIT-Alibaba avatar

    HIT-Alibaba/interview

    5,253View on GitHub↗

    This project is a comprehensive technical interview preparation guide and computer science knowledge base. It serves as a structured study resource designed to help software engineers review core engineering concepts and prepare for professional coding assessments. The repository focuses on a wide array of theoretical and practical domains, including detailed references for mobile application architecture and operating system fundamentals. It provides curated materials on software architecture patterns and network protocol analysis to support professional development. The content covers foun

    Shellinterviewinterview-preparation
    View on GitHub↗5,253
  • maximabramchuck/awesome-interviewsMaximAbramchuck avatar

    MaximAbramchuck/awesome-interviews

    83,140View on GitHub↗

    This project is a curated repository of technical interview questions and a directory of study resources designed for professional software engineering assessments. It serves as a reference guide for interview patterns and common domain questions across various programming languages and technology stacks. The collection organizes coding and computer science questions by language and framework to assist with technical interview preparation and coding assessment study. It covers a wide range of programming domains and system design patterns to support software engineering career growth.

    View on GitHub↗83,140
  • gatieme/codinginterviewsgatieme avatar

    gatieme/CodingInterviews

    4,864View on GitHub↗

    CodingInterviews is a technical interview study resource and algorithm implementation guide. It provides a collection of typical programming challenges and reference implementations focused on the data structures and algorithms used in corporate interviews. The project serves as a coding challenge reference, offering a library of proven algorithmic solutions that act as a baseline for comparing candidate implementations. It includes a data structure implementation library and a set of interview problem sets designed for technical interview preparation. The repository organizes its content th

    C++
    View on GitHub↗4,864
  • datawhalechina/daily-interviewdatawhalechina avatar

    datawhalechina/daily-interview

    3,719View on GitHub↗

    This project is a technical interview study guide and knowledge base designed for software engineering and AI roles. It provides curated learning paths and a collection of high-frequency questions to help candidates prepare for technical assessments. The resource includes specialized study guides for machine learning, covering supervised and unsupervised learning, computer vision, and natural language processing. It also serves as a system design reference, analyzing architectural patterns, scalability trade-offs, and distributed infrastructure components. Beyond technical theory, the projec

    cvinterview-questionsllm
    View on GitHub↗3,719
  • xiaolincoder/cs-basexiaolincoder avatar

    xiaolincoder/CS-Base

    18,024View on GitHub↗

    CS-Base is a comprehensive educational platform and technical repository designed to support software engineers in mastering backend architecture, artificial intelligence engineering, and career development. It functions as a centralized knowledge hub that combines illustrated theoretical tutorials with practical, project-based learning to bridge the gap between foundational computer science concepts and professional industry requirements. The project distinguishes itself by integrating a robust career mentorship framework with advanced AI engineering resources. It provides users with tools f

    ccppgolang
    View on GitHub↗18,024
  • cassidoo/getting-a-gigcassidoo avatar

    cassidoo/getting-a-gig

    7,622View on GitHub↗

    This project is a technical career guide and resource for developers navigating the software engineering job market. It serves as a comprehensive roadmap for securing professional employment, providing a technical interview preparation guide and a directory for mentorship and fellowships. The project provides a framework for drafting technical resumes and portfolios, focusing on describing project experience through metrics to attract recruiters. It also details professional networking strategies, including methods for executing cold outreach and securing job referrals. The resource covers b

    attitudecold-callscollege
    View on GitHub↗7,622
  • mgechev/google-interview-preparation-problemsmgechev avatar

    mgechev/google-interview-preparation-problems

    3,163View on GitHub↗

    This repository is a collection of solved coding challenges and technical problems designed to assist software engineers in preparing for technical job interviews. It serves as a structured archive of problem-solving patterns and solutions intended to help users master the technical assessments required by major technology companies. The project focuses on strengthening fundamental computer science knowledge by implementing and refining solutions to complex logic problems frequently encountered in professional engineering interviews. It provides a curated set of programming exercises that emp

    JavaScriptgooglegoogle-interviewinterview
    View on GitHub↗3,163
  • geekcompany/resumesamplegeekcompany avatar

    geekcompany/ResumeSample

    28,160View on GitHub↗

    ResumeSample is a software engineer resume framework and a collection of Markdown templates used to generate professional resumes and technical portfolios for developers and architects. The project provides structured layouts and templates tailored to specific programming languages and engineering roles. It uses a system of role-specific schemas to organize technical skills and professional experience into standardized formats that meet software industry expectations. The framework decouples content from presentation by using Markdown for document structuring and CSS for visual formatting. A

    View on GitHub↗28,160
  • resumejob/interview-questionsresumejob avatar

    resumejob/interview-questions

    3,270View on GitHub↗

    This project is a structured repository of technical interview questions and professional development resources designed for software engineering career advancement. It serves as a comprehensive database of high-frequency assessment materials sourced from real-world candidate experiences at major global technology companies. The collection is organized into a hierarchical directory structure categorized by company names and technical domains to facilitate navigation. By utilizing plain text serialization and static markdown content, the project ensures that all interview data remains human-re

    interviewinterview-preparationinterview-questions
    View on GitHub↗3,270
  • llmquant/quant-wikiLLMQuant avatar

    LLMQuant/quant-wiki

    3,041View on GitHub↗

    quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering, and algorithmic trading. It serves as a centralized library of documentation covering mathematical models, financial instruments, and systematic trading strategies. The project integrates AI-driven capabilities through a modular retrieval-augmented generation framework that extracts structured data from research papers and news. It features a multi-agent workflow engine designed to discover and validate predictive alpha factors, alongside tools for local large language model

    quantitative-financequantitative-tradingwiki
    View on GitHub↗3,041
  • sudheerj/reactjs-interview-questionssudheerj avatar

    sudheerj/reactjs-interview-questions

    44,646View on GitHub↗

    This project is a comprehensive educational knowledge base designed to support developers in mastering React and its surrounding ecosystem. It serves as a technical interview resource, providing a structured collection of questions and answers that cover core concepts, architectural patterns, and common development challenges. The repository distinguishes itself by offering detailed explanations of fundamental React principles, including component-based composition, the declarative UI paradigm, and state-driven data flow. It provides clarity on complex topics such as the Fiber reconciliation

    JavaScriptinterview-preparationinterview-questionsjavascript
    View on GitHub↗44,646
  • rohitg00/devops-interview-questionsrohitg00 avatar

    rohitg00/devops-interview-questions

    1,906View on GitHub↗

    This repository serves as a curated knowledge base and study resource for professionals preparing for technical interviews in infrastructure and operations. It provides a comprehensive collection of questions and answers covering core engineering concepts, including cloud platforms, infrastructure automation, and industry-standard practices. The project functions as a collaborative documentation repository, utilizing version-controlled text files to maintain technical accuracy. By leveraging community-driven peer review and feedback loops, the content remains structured and verifiable. The re

    devopshelperinterview
    View on GitHub↗1,906
  • sumitsojha88/placement-preparationsumitsojha88 avatar

    sumitsojha88/Placement-Preparation

    908View on GitHub↗

    This repository is a community-driven knowledge base designed to assist students and software engineers in preparing for technical job placements. It functions as a centralized library of educational resources, structured learning paths, and verified algorithmic solutions, all maintained through collaborative version control workflows. The project distinguishes itself by combining technical interview preparation with broader career development tools. It provides curated roadmaps for mastering computer science fundamentals and system design, alongside practical guidance for resume preparation.

    C++computernetworksdata-structuresdbms
    View on GitHub↗908
  • moabukar/tech-vaultmoabukar avatar

    moabukar/tech-vault

    3,351View on GitHub↗

    tech-vault is a command-line technical interview bank and knowledge base designed for practicing engineering questions across various technical domains. It functions as a terminal-based application that stores structured study materials and interview questions as markdown files, which are then rendered directly within the system console. The project distinguishes itself through a delivery model that uses command-line argument parsing to filter content by topic or difficulty. It also includes a random selection algorithm to pick individual questions from the collection for spontaneous study se

    HCL
    View on GitHub↗3,351
  • faqguru/faqguruFAQGURU avatar

    FAQGURU/FAQGURU

    5,064View on GitHub↗

    FAQGURU is a technical interview question bank and coding interview study guide. It serves as a software engineering career resource and programming language reference, providing a curated collection of common technical questions and concise answers. The project functions as a markdown knowledge base that pairs theoretical explanations with practical implementation examples across various programming languages and frameworks. These resources focus on algorithmic and architectural patterns used during technical hiring processes. Content is organized via a nested directory hierarchy and a cate

    angularjsaspcpp
    View on GitHub↗5,064
  • alirezadir/machine-learning-interviewsalirezadir avatar

    alirezadir/Machine-Learning-Interviews

    8,455View on GitHub↗

    This project is a comprehensive machine learning interview guide and technical study resource designed for individuals preparing for machine learning and AI engineering roles. It provides a collection of materials and practice problems covering core algorithms, theoretical fundamentals, and the implementation of neural network architectures. The resource serves as a technical reference for generative AI development, focusing on the design and optimization of large language models and diffusion systems. It includes frameworks for system design, covering the architecture of production machine l

    Jupyter Notebookagenticaiai-agents
    View on GitHub↗8,455
  • ashishps1/awesome-behavioral-interviewsashishps1 avatar

    ashishps1/awesome-behavioral-interviews

    7,835View on GitHub↗

    This project is a community-driven knowledge repository designed to assist with professional job search preparation. It provides a structured framework for mastering both behavioral and technical interview evaluations, offering resources to help candidates organize their personal experiences and professional narratives. The repository functions as a comprehensive toolkit for career development, utilizing a hierarchical taxonomy to categorize complex interview concepts. It enables users to study core principles of data structures, algorithms, and system design while simultaneously providing st

    behavioral-interviewsinterview-preparationinterviews
    View on GitHub↗7,835
  • arialdomartini/back-end-developer-interview-questionsarialdomartini avatar

    arialdomartini/Back-End-Developer-Interview-Questions

    16,574View on GitHub↗

    This project is an open-source knowledge repository that serves as a comprehensive technical interview question bank for backend engineering roles. It provides a structured resource for hiring managers and candidates to evaluate proficiency in software design, architectural patterns, and core engineering principles through a curated collection of discussion topics and coding challenges. The repository functions as a programming paradigm evaluation tool, enabling the assessment of a candidate's understanding of object-oriented, functional, and procedural techniques. It distinguishes itself by

    View on GitHub↗16,574
  • febobo/web-interviewfebobo avatar

    febobo/web-interview

    11,828View on GitHub↗

    This project is a frontend interview question bank and a comprehensive web development curriculum. It serves as a technical reference and study guide for software engineering candidates, combining a curated collection of interview questions and answers with a broad computer science fundamentals reference. The knowledge base is structured as a markdown-based system, using a folder-based taxonomy and directory hierarchy to organize technical topics. It employs a git-driven workflow to manage contributions and updates to the content, which is delivered as static documentation. The curriculum co

    javascriptreacttypescript
    View on GitHub↗11,828
  • brave-people/brave-tech-interviewbrave-people avatar

    brave-people/brave-tech-interview

    4,461View on GitHub↗

    This project is a technical interview study guide and computer science knowledge base. It provides a curated collection of technical interview questions and expert explanations focused on preparing for assessments at global IT companies. The repository serves as a coding interview roadmap for mastering algorithmic challenges and complexity analysis, alongside a software architecture reference for design principles and system design strategies. It also includes a web security curriculum covering authentication methods, cryptographic concepts, and common vulnerabilities. Content covers compute

    View on GitHub↗4,461
  • hxu296/leetcode-company-wise-problems-2022hxu296 avatar

    hxu296/leetcode-company-wise-problems-2022

    11,040View on GitHub↗

    This repository is a structured database of coding interview problems designed to support software engineering career development. It functions as a centralized knowledge base that aggregates technical practice questions, mapping them to specific employer requirements and recurring computer science topics. The project distinguishes itself by clustering interview questions into company-specific collections and labeling them by technical domain. This organization allows users to identify recurring algorithmic patterns and analyze the unique testing styles associated with different organizations

    Jupyter Notebookamazon-interviewfacebook-interviewgoogle-interview
    View on GitHub↗11,040
  • the-cool-coders/project-ideas-and-resourcesThe-Cool-Coders avatar

    The-Cool-Coders/Project-Ideas-And-Resources

    12,382View on GitHub↗

    This project is a curated knowledge base designed to support developer career growth and technical skill acquisition. It functions as a repository of educational references, design assets, and structured project concepts that assist individuals in building their software engineering portfolios. The platform distinguishes itself through a collaborative, version-controlled model that relies on community contributions to maintain its library. By utilizing a structured, text-based authoring system, the repository allows external contributors to submit and validate new resources through a formal r

    beginnercontributioncontributions-welcome
    View on GitHub↗12,382
  • hideraldoluis/roadmap-do-desenvolvedor-webhideraldoluis avatar

    hideraldoluis/roadmap-do-desenvolvedor-web

    1,145View on GitHub↗

    This project is a structured learning roadmap and curriculum guide designed to map the essential technologies and skill sets required for professional web development. It functions as a technical career path planner, providing organized educational sequences that help individuals track their progress toward specific engineering roles. The platform utilizes a static site generator to produce pre-rendered HTML files, ensuring high search engine visibility and efficient page loading. By employing declarative visual mapping, the project transforms complex technical requirements into interactive d

    backenddeveloperdeveloper-experience
    View on GitHub↗1,145