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Testing Mastery: JUnit, Mockito & Integration Tests · Lesson

Writing Tests First

Practice writing failing tests that define desired behavior before implementing any production code.

Writing Tests First is a free Testing Mastery: JUnit, Mockito & Integration Tests lesson on CoddyKit — lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Testing Mastery: JUnit, Mockito & Integration Tests learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

TDD's 'Red' Phase

Welcome to the core of Test-Driven Development (TDD)! In this lesson, we'll dive into the crucial first step: writing a failing test first.

This is often called the 'Red' phase of the TDD cycle, because when you run your tests, you expect to see a 'red bar' indicating a failure.

Why Test First?

It might feel counter-intuitive to write a test for code that doesn't exist yet, or isn't fully implemented. But this approach offers great benefits:

  • Clarity: It forces you to think about what the code should *do* before you think about *how* to do it.
  • Proof of Failure: It proves your test works correctly by showing it can fail. If it passes without any code, your test might be faulty!
  • Focus: It gives you a clear, immediate goal: make this one test pass.

Tests as Specifications

Think of your failing test as a precise specification or a mini-requirement. It describes a specific behavior your future code must exhibit.

  • It defines the input.
  • It defines the expected output or outcome.
  • It's concrete and executable.

This helps prevent misunderstandings and ensures your code delivers exactly what's needed for that specific scenario.

Scenario: Simple Calculator

Let's practice by building a simple Calculator class. For our first piece of functionality, we want it to be able to add two numbers.

Our goal is to write a test for an add method that will fail before we even write the correct implementation of add.

Designing the Failing Test

Before writing code, let's think:

  • What input? We'll add 2 and 3.
  • What output? We expect the result to be 5.
  • What method? A method called add on a Calculator object.

We'll write a test that calls calculator.add(2, 3) and asserts that the result is 5.

Code Demo: The Failing Test

Here's a simulated example of writing a test first. Notice the Calculator's add method is intentionally incorrect (it returns 0). This makes our 'test' fail, demonstrating the 'Red' phase.

Run this code to see the simulated failure!

public class Main {
    public static void main(String[] args) {
        System.out.println("Running a simulated test...");
        Calculator calculator = new Calculator();

        // Our test scenario: 2 + 3 should be 5
        int expected = 5;
        int actual = calculator.add(2, 3);

        if (expected == actual) {
            System.out.println("Test PASSED: 2 + 3 = " + actual);
        } else {
            System.out.println("Test FAILED: Expected " + expected + " but got " + actual);
            System.out.println("This is our 'Red' phase!");
        }
    }
}

// The production code (intentionally incorrect for 'Red' phase)
class Calculator {
    public int add(int a, int b) {
        return 0; // Wrong implementation to make the test fail
    }
}

Analyzing the 'Red'

After running the previous code, you saw a 'Test FAILED' message. This is exactly what we wanted!

  • Expected: 5
  • Actual: 0

This failure confirms two things: our test is correctly written, and the production code (the add method) does not yet meet the specified behavior.

The 'Minimum Code' Mindset

Once you have a failing test, the next step in TDD (the 'Green' phase) is to write the *simplest possible code* to make that test pass.

  • Don't over-engineer.
  • Don't add extra features.
  • Just focus on satisfying the current failing test.

This keeps your code clean and focused, building functionality incrementally.

Advantages of Test-First

Embracing the 'Red' phase of TDD leads to:

  • Better Design: Tests guide you towards more modular and testable code.
  • Increased Confidence: Each passing test gives you confidence in your code's correctness.
  • Reduced Bugs: Catch issues early, before they become complex problems.
  • Living Documentation: Your tests serve as up-to-date examples of how your code should be used.

Quick Check on TDD Red

Let's test your understanding of the 'Red' phase in Test-Driven Development.

Recap: The 'Red' Phase

You've explored the crucial first step of TDD: writing a failing test.

  • The 'Red' phase means writing a test that fails.
  • This test acts as a clear specification for new functionality.
  • Seeing the test fail confirms its validity and that the code isn't yet correct.
  • This methodical approach leads to clearer requirements and more robust code.

Next, we'll learn how to make that failing test pass – the 'Green' phase!

Frequently asked questions

Is the “Writing Tests First” lesson free?

Yes — the full text of “Writing Tests First” is free to read here on the web, and the Testing Mastery: JUnit, Mockito & Integration Tests course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Testing Mastery: JUnit, Mockito & Integration Tests course, upgrade to CoddyKit PRO.

What will I learn in “Writing Tests First”?

Practice writing failing tests that define desired behavior before implementing any production code. You practise Testing Mastery: JUnit, Mockito & Integration Tests with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Testing Mastery: JUnit, Mockito & Integration Tests?

No prior experience is required. Testing Mastery: JUnit, Mockito & Integration Tests on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Writing Tests First” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Testing Mastery: JUnit, Mockito & Integration Tests lesson?

Yes. Every Testing Mastery: JUnit, Mockito & Integration Tests lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Introduction to TDD Cycle
  2. Writing Tests First
  3. Refactoring for Testability
  4. The Three Laws of TDD
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