CyberCode Academy

CyberCode Academy
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Welcome to CyberCode Academy — your audio classroom for Programming and Cybersecurity. 🎧 Each course is divided into a series of short, focused episodes that take you from beginner to advanced level — one lesson at a time. From Python and web development to ethical hacking and digital defense, our content transforms complex concepts into simple, engaging audio learning. Study anywhere, anytime — and level up your skills with CyberCode Academy. 🚀 Learn. Code. Secure. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

  1. Course 37 - Building Web Apps with Ruby On Rails | Episode 17:Mastering Versioning and Pagination

    16 hr ago

    Course 37 - Building Web Apps with Ruby On Rails | Episode 17:Mastering Versioning and Pagination

    In this lesson, you’ll learn about: API pagination, versioning strategies, and building scalable Rails APIs1. Why Pagination Is EssentialUsing Ruby on Rails APIs:🔹 Problem: Returning large datasets (thousands of records)Slow responses + heavy database load🔹 Solution: Break data into pages (chunks)👉 Key Insight Pagination improves performance, speed, and user experience2. How Pagination Works (Limit & Offset)🔹 Core idea: limit → how many records per pageoffset → where to start🔹 Example:LIMIT 10 OFFSET 20 👉 Meaning: Skip first 20 recordsReturn next 10👉 Key Insight Pagination is just controlled slicing of data3. Pagination in Rails🔹 Basic example:@users = User.limit(10).offset(20) 🔹 With params:@users = User.limit(params[:limit]).offset(params[:offset]) 👉 Key Insight You can fully control pagination from the client4. Using Pagination Gems🔹 Popular tools: will_paginateKaminari🔹 Example (Kaminari):@users = User.page(params[:page]).per(10) 👉 Key Insight Gems simplify pagination logic and add helpers5. Benefits of Pagination🔹 Advantages: Faster database queriesReduced memory usageBetter frontend performance👉 Key Insight Small responses = faster APIs6. Introduction to API Versioning🔹 Problem: APIs evolve over timeChanges can break old clients🔹 Solution: Maintain multiple API versions👉 Key Insight Versioning protects backward compatibility7. Content Negotiation (Accept Header)🔹 Client request:Accept: application/vnd.myapp.v1+json 🔹 Server behavior: Detect versionReturn matching response👉 Key Insight Client specifies the version, server adapts8. Versioning with Namespaces🔹 Structure:/app/controllers/v1/users_controller.rb /app/controllers/v2/users_controller.rb 🔹 Example:module V1 class UsersController ApplicationController end end 👉 Key Insight Each version has isolated logic9. Routing with Version Constraints🔹 Example:namespace :v1 do resources :users end 👉 Advanced: Use constraints to switch versions dynamically👉 Key Insight Routing determines which version is executed10. Default API Version🔹 Problem: Client doesn’t specify version🔹 Solution: Set fallback version (e.g., V1)👉 Key Insight Always ensure API still works without explicit version11. Pagination + Versioning Together🔹 Example:/api/v1/users?page=2&per_page=10 👉 Key Insight Combine both for scalable and flexible APIsKey Takeaways Pagination reduces load and improves speedUse gems like Kaminari or will_paginateVersioning prevents breaking existing clientsUse namespaces and routing constraintsAlways provide a default version You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    17 min
  2. Course 37 - Building Web Apps with Ruby On Rails | Episode 16:Templates and Partials for Modular Rails APIs

    1 day ago

    Course 37 - Building Web Apps with Ruby On Rails | Episode 16:Templates and Partials for Modular Rails APIs

    In this lesson, you’ll learn about: modular JSON generation, JBuilder templates, and reusable API response structures1. The Problem with as_jsonUsing Ruby on Rails default serialization:🔹 Issue: Models become bloated with formatting logicBusiness logic + presentation logic get mixed🔹 Example problem:def as_json super.merge(custom_data: ...) end 👉 Key Insight Models should handle data, not how data is presented2. Introducing JBuilderUsing JBuilder:🔹 What it does: Moves JSON generation into view templatesKeeps controllers and models clean🔹 File structure:app/views/projects/show.json.jbuilder 👉 Key Insight JBuilder brings the MVC pattern back to balance3. JBuilder Template Basics🔹 Example:json.id @project.id json.project_title @project.title json.description @project.description 🔹 Features: Rename fieldsSelect attributesBuild structured JSON👉 Key Insight You explicitly control every field in the response4. Handling Nested Associations🔹 Example:json.milestones @project.milestones do |milestone| json.id milestone.id json.name milestone.name end 👉 Key Insight JBuilder makes nested data easy and readable5. Adding Derived Data🔹 Example:json.single_day_project @project.start_date == @project.end_date 🔹 Use cases: FlagsCalculationsBusiness logic outputs👉 Key Insight You can enrich API responses without touching the model6. Why JBuilder Is Better Than as_json🔹 With as_json: Logic scattered across modelsHard to maintain🔹 With JBuilder: Centralized JSON structureCleaner, modular design👉 Key Insight Separation of concerns improves scalability7. JBuilder Partials (Reusability)🔹 Problem: Repeating the same JSON structure🔹 Solution: Use partialsjson.partial! "milestones/milestone", milestone: milestone 👉 Key Insight Write once → reuse everywhere8. Creating a Partial🔹 File:app/views/milestones/_milestone.json.jbuilder 🔹 Example:json.id milestone.id json.name milestone.name 👉 Key Insight Partials act like reusable components for JSON9. Benefits of Partials🔹 Advantages: Consistency across endpointsEasy updatesReduced duplication👉 Key Insight Change in one place → updates everywhere10. Clean API Architecture with JBuilder🔹 Controller:render :show 🔹 View (JBuilder): Handles full JSON structure🔹 Model: Only business logic👉 Key Insight Each layer has a single responsibilityKey Takeaways Avoid overloading models with as_jsonUse JBuilder for structured, readable JSONTemplates control formattingPartials eliminate duplicationImproves maintainability and scalability You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    21 min
  3. Course 37 - Building Web Apps with Ruby On Rails | Episode 15: Multi-format Controllers and Custom JSON Serialization

    2 days ago

    Course 37 - Building Web Apps with Ruby On Rails | Episode 15: Multi-format Controllers and Custom JSON Serialization

    In this lesson, you’ll learn about: multi-format responses, JSON serialization, and building clean, reusable Rails API controllers1. Multi-Format Controller ResponsesUsing Ruby on Rails:🔹 Problem: Different clients need different formatsBrowser → HTMLMobile app → JSONExternal systems → XML🔹 Solution: Use respond_todef show @user = User.find(params[:id]) respond_to do |format| format.html format.json { render json: @user } format.xml { render xml: @user } end end 👉 Key Insight One controller action can serve multiple clients efficiently2. How Clients Choose the Format🔹 Methods: HTTP Accept headerURL extension (.json, .xml)🔹 Example:GET /users/1.json 👉 Key Insight The client—not the server—decides the response format3. The Serialization Pipeline🔹 Step 1: Data Preparation Convert model → Ruby hash🔹 Step 2: Data Transformation Convert hash → JSON string👉 Key Insight Serialization is a two-step process, not a single action4. as_json vs to_json🔹 as_json: Returns a Ruby hashUsed for customization🔹 to_json: Converts to JSON string🔹 Best practice:render json: @user 👉 Key Insight Let Rails handle conversion to avoid double encoding5. Why Use render Instead of Manual Conversion❌ Bad:render json: @user.to_json ✅ Good:render json: @user 👉 Key Insight Rails automatically calls serialization methods correctly6. Moving Logic from Controllers to Models🔹 Problem: Controllers become cluttered🔹 Solution: Customize JSON in the modeldef as_json(options = {}) super(only: [:id, :name]) end 👉 Key Insight Fat models + skinny controllers = clean architecture7. Filtering Data for Efficiency🔹 Options: only → include specific fieldsexcept → exclude fieldsrender json: @user, only: [:id, :email] 👉 Key Insight Send only what the client needs → better performance8. Including Associations🔹 Example:render json: @user, include: :posts 👉 Key Insight You can return related data in a single response9. Renaming and Customizing Fields🔹 Example:def as_json(options = {}) super.merge({ full_name: "#{first_name} #{last_name}" }) end 👉 Key Insight APIs should be client-friendly, not database-driven10. Adding Derived Data🔹 Examples: Unix timestampsBoolean flagsComputed valuesdef as_json(options = {}) super.merge({ created_at_unix: created_at.to_i, active: status == "active" }) end 👉 Key Insight APIs can provide ready-to-use data, not raw data11. Clean Architecture Strategy🔹 Controller: Handles request/response🔹 Model: Handles data formatting👉 Key Insight Separation of concerns improves maintainabilityKey Takeaways Use respond_to for multi-format APIsSerialization = prepare + transformPrefer render json: over manual conversionMove formatting logic into modelsCustomize responses for performance and clarityBig PictureYou are building:👉 Flexible APIs for multiple clients 👉 Efficient data responses 👉 Clean, maintainable Rails architectureMental ModelRequest → controller action → choose format → model prepares data → Rails serializes → response sent You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    22 min
  4. Course 37 - Building Web Apps with Ruby On Rails | Episode 14: From Basic HTTP to JWT Authentication

    3 days ago

    Course 37 - Building Web Apps with Ruby On Rails | Episode 14: From Basic HTTP to JWT Authentication

    In this lesson, you’ll learn about: securing APIs in Rails, authentication strategies, and building a stateless authorization system1. Why API Security MattersUsing Ruby on Rails APIs:🔹 Problem: APIs are publicly exposed endpointsWithout protection → anyone can access or manipulate data🔹 Goal: Ensure only authorized users can interact with resources👉 Key Insight An unsecured API is essentially a “wide-open backend”2. Foundation of API Design🔹 Core features: Multiple response formats (JSON)PaginationAPI versioning🔹 Example:/api/v1/projects?page=1 👉 Key Insight Security must be designed alongside API structure—not added later3. Basic HTTP Authentication (Intro Level)🔹 Rails method:http_basic_authenticate_with name: "admin", password: "secret" 🔹 How it works: Sends username/password with every request🔹 Problems: Credentials sent repeatedlyOften stored or cachedVulnerable if not encrypted👉 Key Insight Good for demos ❌ Not safe for production ❌4. Token-Based Authentication with JWTUsing JSON Web Token:🔹 Structure: HeaderPayloadSignature🔹 Example:xxxxx.yyyyy.zzzzz 🔹 Benefits: Stateless (no server session needed)Secure (signed token)Scalable👉 Key Insight JWT is the industry standard for modern APIs5. Why JWT Is More Secure🔹 Advantages: No repeated credentialsToken can expireCannot be modified without secret key🔹 Protection: Immune to CSRF (no cookies required)👉 Key Insight Security comes from signature verification, not secrecy6. Implementing JWT in Rails🔹 Tool: JWT Ruby Gem🔹 Encoding:JWT.encode(payload, secret_key) 🔹 Decoding:JWT.decode(token, secret_key) 👉 Key Insight The server is the only entity that can generate valid tokens7. Authentication Service🔹 Responsibilities: Handle signupHandle loginGenerate token🔹 Flow: User logs inServer validates credentialsServer returns JWT👉 Key Insight Authentication = verifying identity8. Authorization Layer🔹 Implementation: Add before_action in controllerbefore_action :authorize_request 🔹 Process: Extract token from headersDecode tokenIdentify current user👉 Key Insight Authorization = controlling access9. Request Lifecycle with JWT🔹 Flow: Client sends request with tokenServer validates tokenAccess granted or denied👉 Key Insight Every request is independently verified (stateless system)10. From Open API to Secure System🔹 Before: No identity checkFull data exposure🔹 After: Token requiredUser-specific access control👉 Key Insight Security transforms your API from public → protectedKey Takeaways Basic auth is simple but insecureJWT provides stateless, scalable securitySeparate authentication and authorization logicValidate every request using tokensBig PictureYou are building:👉 A stateless authentication system 👉 A scalable API architecture 👉 A secure backend for mobile/web appsMental ModelUser logs in → server issues token → client stores token → sends with each request → server verifies → grants/denies access You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    20 min
  5. Course 37 - Building Web Apps with Ruby On Rails | Episode 13: From Initial Setup to Advanced UI Interaction

    4 days ago

    Course 37 - Building Web Apps with Ruby On Rails | Episode 13: From Initial Setup to Advanced UI Interaction

    In this lesson, you’ll learn about: system (end-to-end) testing in Ruby on Rails, simulating real browser interactions and validating full user experience1. What Is System (End-to-End) Testing?Using Ruby on Rails:🔹 Definition: Tests the application through a real browser🔹 Difference: Unit → single componentIntegration → backend flowSystem → full user experience (UI + backend)👉 Key Insight System tests replicate real user behavior, including clicks and form inputs2. Testing Infrastructure Setup🔹 Core tools: CapybaraSeleniumChrome WebDriver🔹 Requirements: Install browser driverConfigure system test environment👉 Key Insight System testing requires a real browser automation stack3. Simulating User Behavior🔹 Common actions: click_on → simulate clicksfill_in → fill forms🔹 Example:visit login_path fill_in "Email", with: "test@test.com" fill_in "Password", with: "123456" click_on "Login" 👉 Key Insight Tests should mimic real user actions step by step4. Locators vs CSS Selectors🔹 Locators: Based on labels or text🔹 CSS selectors: Target elements by class or structure🔹 Advanced usage:within(".login-form") do fill_in "Email", with: "test@test.com" end 👉 Key Insight Scoped interactions prevent targeting the wrong elements5. Testing Dynamic UI Features🔹 Examples: Swipe cardsProfile updatesInteractive components🔹 Best practice: Avoid tight coupling to frameworks like Vue.js👉 Key Insight Use generic selectors to keep tests maintainable6. Handling Asynchronous Behavior🔹 Problem: JavaScript loads asynchronously🔹 Solution: Use wait mechanisms🔹 Example:assert_text "Welcome", wait: 5 👉 Key Insight Waiting ensures tests don’t fail بسبب timing issues7. Debugging Tools🔹 Techniques: Take screenshots on failureInspect rendered HTMLAdjust timing🔹 Benefit: Easier root-cause analysis👉 Key Insight Visual debugging is critical in system testing8. Testing Responsive Design🔹 Approach: Change browser resolution🔹 Goal: Validate mobile-first layouts👉 Key Insight System tests should reflect real device experiences9. Performance & Workflow Optimization🔹 Tools: Fixtures (static data)Factories (dynamic data)Parallel testing👉 Key Insight Efficient data handling speeds up large test suites10. Building a Future-Proof Test Suite🔹 Principles: Decouple from frontend frameworksUse reusable test patternsCover full workflows👉 Key Insight Maintainability is as important as test coverageKey Takeaways System tests simulate real browser interactionsCapybara and Selenium power UI testingUse scoped selectors for accuracyHandle async behavior with waitsKeep tests flexible and framework-independentBig PictureThis approach teaches you how to:👉 Validate full user experience 👉 Detect UI and interaction bugs 👉 Ensure frontend and backend work seamlesslyMental ModelLaunch browser → simulate user actions → interact with UI → wait for responses → verify results → debug visually → optimize tests You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    21 min
  6. Course 37 - Building Web Apps with Ruby On Rails | Episode 12: Comprehensive Rails Integration Testing

    5 days ago

    Course 37 - Building Web Apps with Ruby On Rails | Episode 12: Comprehensive Rails Integration Testing

    In this lesson, you’ll learn about: transitioning from unit tests to full integration testing in Ruby on Rails, simulating real user workflows and validating complete application behavior1. What Is Integration Testing?Using Ruby on Rails:🔹 Definition: Tests how multiple components work together🔹 Difference from unit tests: Unit → test isolated partsIntegration → test full workflows👉 Key Insight Integration tests validate real-world application behavior, not just individual pieces2. Building a Complete User Flow🔹 Example flow: User registersUser logs inUser views profilesUser edits their profile👉 Key Insight Integration tests simulate actual user journeys from start to finish3. Essential Integration Toolsfollow_redirect!🔹 Purpose: Continue test after redirects🔹 Example:post login_path, params: { email: "test@test.com", password: "123456" } follow_redirect! 👉 Key Insight Allows tests to move across multiple pages seamlesslyassert_select🔹 Purpose: Validate HTML content🔹 Example:assert_select "h1", "Welcome" 👉 Key Insight Confirms that the correct UI elements are rendered4. Merging Unit Tests into Integration Tests🔹 Approach: Combine smaller tests into one full scenario🔹 Example: Instead of testing login separately → include it in full flow👉 Key Insight Integration tests provide higher confidence by covering entire processes5. Testing HTTP Requests (PATCH)🔹 Use case: Updating user data🔹 Example:patch user_path(user), params: { user: { name: "Updated" } } 👉 Key Insight PATCH requests verify that updates are correctly processed and saved6. Debugging Through Integration Tests🔹 Common discoveries: Missing data causing crashesFrontend rendering issuesBroken flows between pages👉 Key Insight Integration tests reveal bugs that unit tests often miss7. Handling Complex User Scenarios🔹 Example: Register → login → edit → verify changes🔹 Requirement: All steps must work together without failure👉 Key Insight The goal is to test the entire experience, not just functionality8. Limitations of Integration Tests🔹 Key limitation: Do NOT execute JavaScript🔹 Impact: Frontend frameworks like Vue.js are not fully tested👉 Key Insight Integration tests cover backend + basic rendering, but not dynamic frontend behavior9. Moving to System (End-to-End) Testing🔹 When needed: Testing JavaScript interactionsFull browser simulation🔹 Tools: Capybara, Selenium (commonly used)👉 Key Insight System tests are the next level after integration testsKey Takeaways Integration tests validate complete workflowsTools like follow_redirect! and assert_select are essentialCombining tests improves coverage and confidencePATCH requests verify update functionalityIntegration tests expose real-world bugsBig PictureThis approach teaches you how to:👉 Simulate real user behavior 👉 Validate full application flows 👉 Detect hidden issues before productionMental ModelCombine components → simulate user journey → follow redirects → verify UI → test updates → identify gaps → move to full system testing You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    23 min
  7. Course 37 - Building Web Apps with Ruby On Rails | Episode 11: Mastering Robust Unit Testing and Shared Helper Functions

    6 days ago

    Course 37 - Building Web Apps with Ruby On Rails | Episode 11: Mastering Robust Unit Testing and Shared Helper Functions

    In this lesson, you’ll learn about: building a robust unit testing suite in Ruby on Rails, including methodology, debugging, and test optimization1. The 3-Step Testing MethodologyUsing Ruby on Rails:🔹 Step 1: Identify what to test FunctionModelController🔹 Step 2: Choose inputs Realistic, production-like data🔹 Step 3: Verify output Compare expected vs actual results👉 Key Insight Every test follows a clear input → process → output validation flow2. Model Testing (Active Record)🔹 What to test: Record creationRecord deletionValidations🔹 Example:user = User.create(name: "Test") assert user.persisted? 👉 Key Insight Model tests ensure your data layer behaves correctly3. Controller Testing🔹 What to test: RoutesHTTP methods (GET, POST, etc.)Responses🔹 Example:get root_path assert_response :success 👉 Key Insight Controller tests validate request/response behavior4. Debugging & Troubleshooting🔹 Common issues: Broken routes (home_index_path → root_path)Nil errors (missing optional data like avatars)🔹 Fix strategy: Update routesAdd conditional checks👉 Key Insight Most test failures come from small misconfigurations5. Errors vs Failures🔹 Error: Test crashes before completion🔹 Failure: Test runs but result is incorrect👉 Key Insight Fix errors first, then handle logical failures6. Managing Test State🔹 Behavior: Database resets after each test🔹 Challenge: Session-based features (login, registration)🔹 Solution: Perform all steps within the same test👉 Key Insight Each test must be fully self-contained7. Session-Based Testing🔹 Example flow: Register userLog inAccess protected route👉 Key Insight Simulate real user workflows inside a single test8. Reducing Code Duplication (Helpers)🔹 Problem: Repeating setup code🔹 Solution: Shared helper functions🔹 Example:def create_user User.create(name: "Steve", email: "steve@test.com") end 👉 Key Insight Helpers keep tests clean and maintainable9. Using Fixtures & Reusable Data🔹 Example: Predefined user like "Steve"🔹 Benefit: Consistency across tests👉 Key Insight Reusable data simplifies test setup10. Preparing for Integration Testing🔹 Next level: Combine multiple steps into full workflows🔹 Example: User signs up → logs in → interacts with app👉 Key Insight Unit tests validate components, integration tests validate the systemKey Takeaways Follow a structured testing methodologyTest both models and controllersUnderstand the difference between errors and failuresKeep tests isolated and self-containedUse helpers to reduce repetitionBig PictureThis approach teaches you how to:👉 Build reliable and maintainable test suites 👉 Debug issues efficiently 👉 Transition from unit tests to full integration testingMental ModelDefine test target → provide input → verify output → debug issues → refactor with helpers → scale to integration tests You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    22 min
  8. Course 37 - Building Web Apps with Ruby On Rails | Episode 10: Setup, Parallelization, and Dynamic Data Seeding

    23 Jun

    Course 37 - Building Web Apps with Ruby On Rails | Episode 10: Setup, Parallelization, and Dynamic Data Seeding

    In this lesson, you’ll learn about: setting up a robust testing environment in Ruby on Rails using isolated databases, parallel execution, and dynamic test data generation1. Project Overview (Testing Context)Using Ruby on Rails:🔹 Application features: User profilesSwipe functionalityMobile-first design🔹 Frontend: Powered by Vue.js👉 Key Insight Testing must reflect real-world usage, especially for interactive apps2. Isolated Test Environment🔹 Principle: Keep test data separate from development data🔹 Why: Prevent data corruptionEnsure repeatable test runs🔹 Tooling: Dedicated test database👉 Key Insight Isolation guarantees safe and consistent testing cycles3. Preparing the Test Database🔹 Command:rails db:test:prepare 🔹 Purpose: Sync schema with developmentReset test database state👉 Key Insight A clean database ensures reliable test results4. Parallel Testing🔹 Concept: Run tests simultaneously using multiple workers🔹 Benefit: Faster execution timeBetter scalability for large test suites🔹 Example: Multiple processes testing different parts of the app👉 Key Insight Parallelization is critical for modern, large-scale applications5. Fixtures vs FactoriesFixtures🔹 Characteristics: Static dataPredefined records🔹 Limitation: Not flexibleHard to scaleFactories (Recommended)🔹 Tools: FactoryBotFaker🔹 Advantages: Dynamic data generationRealistic test scenariosEasy customization👉 Key Insight Factories provide flexibility and realism in testing6. Generating Realistic Test Data🔹 Example:FactoryBot.create(:user) 🔹 With Faker: Random namesEmailsProfile data👉 Key Insight Realistic data helps uncover edge cases and hidden bugs7. Stress Testing & Edge Cases🔹 Goal: Simulate real-world usage🔹 Techniques: Generate large datasetsTest unusual inputs👉 Key Insight Good test data exposes weaknesses before production8. Preparing for Unit Testing🔹 Foundation: Clean databaseDynamic dataFast execution🔹 Next step: Write low-level unit tests👉 Key Insight A strong environment is required before writing meaningful testsKey Takeaways Separate test and development databasesUse rails db:test:prepare for consistencyParallel testing improves speedFactories are superior to fixtures for scalabilityRealistic data reveals hidden issuesBig PictureThis setup teaches you how to:👉 Build a reliable and scalable testing environment 👉 Speed up test execution with parallelization 👉 Simulate real-world conditions using dynamic dataMental ModelIsolate environment → prepare database → generate realistic data → run tests in parallel → validate system reliability You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

    19 min
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About

Welcome to CyberCode Academy — your audio classroom for Programming and Cybersecurity. 🎧 Each course is divided into a series of short, focused episodes that take you from beginner to advanced level — one lesson at a time. From Python and web development to ethical hacking and digital defense, our content transforms complex concepts into simple, engaging audio learning. Study anywhere, anytime — and level up your skills with CyberCode Academy. 🚀 Learn. Code. Secure. You can listen and download our episodes for free on more than 10 different platforms: https://linktr.ee/cybercode_academy

Information

  • Creator
    CyberCode Academy
  • Years Active
    2025 - 2026
  • Episodes
    284
  • Rating
    Clean
  • Copyright
    © Copyright CyberCode Academy
  • Show Website
    CyberCode Academy

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