Script Valley
Reading Other People's Code
Navigating Large CodebasesLesson 3.3

How to read tests to understand what code is supposed to do

test file location, describe/it block naming, arrange-act-assert pattern, what tests reveal about API, reading test data, edge cases in tests

Tests Are Executable Specifications

Arrange-Act-Assert test structure diagram

The test suite is the best documentation that exists for most codebases — it's documentation that breaks when it's wrong. Read tests before implementation to understand what a module is supposed to do.

Reading a Test to Understand the API

describe('UserService', () => {
  describe('createUser', () => {
    it('should return a user object with hashed password', async () => {
      // ARRANGE: what state is needed
      const input = { email: 'test@example.com', password: 'secret123' };

      // ACT: call the function under test
      const result = await userService.createUser(input);

      // ASSERT: what the result must be
      expect(result.email).toBe('test@example.com');
      expect(result.password).not.toBe('secret123'); // hashed
      expect(result.id).toBeDefined();
    });

    it('should throw DuplicateEmailError when email exists', async () => {
      await userService.createUser({ email: 'dupe@example.com', password: 'pw' });
      await expect(
        userService.createUser({ email: 'dupe@example.com', password: 'other' })
      ).rejects.toThrow(DuplicateEmailError);
    });
  });
});

// What you learned without reading createUser:
// - Input: { email, password } — password is stored hashed
// - Output: user object with id, email, hashed password
// - Error: throws DuplicateEmailError on duplicate email

Edge case tests are especially valuable. They document every known failure mode and boundary condition the original author thought about.

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How to map a codebase using a call graph

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