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Code & Deliverynoun · /taɪp ˈtʃekɪŋ/

type checking

type checking — The process of verifying that variables, functions, and expressions in code use the correct data types (such as integers, strings, or objects).

In simple English

Type checking is a fundamental quality control mechanism in software development. It can happen at two stages: during compilation (static type checking) before the code runs, or during execution (dynamic type checking) as the code runs. Languages like TypeScript, Java, and C++ perform static type checking, while Python and JavaScript can perform dynamic type checking or use optional type annotations. In modern development workflows, type checking catches bugs early and improves code reliability. Engineers often discuss whether to use strict type checking or more flexible approaches, and tools like linters enforce type checking standards across teams.

Understand what type checking is, how it works in different programming languages, and why it matters for code quality.

At a glanceCEFR B2
Commonness4/5
Versatility4/5
FormalityCasualFormalNeutral
Spoken ↔ WrittenSpokenWrittenBoth
Directness ↔ DiplomaticDirectDiplomaticDirect
RegionUS and UK

Say it like this

  • We should enable strict type checking on this project.
  • Type checking caught that bug before it reached production.
  • Let's add type checking to prevent these runtime errors.

Use it at work

CI

  • Type checking fails on this PR.
  • Run type checking before you push.

Code review

  • Let's turn on strict type checking.
  • Type checking would have caught this bug.

Explaining

  • TypeScript does type checking at build time.
  • Python type checking uses mypy.

Don't say this

✕We need to do type checking the database values.
✓We need to do type checking on the database values.

Use the preposition 'on', not 'the', when specifying what is being type checked.

Don't mix it up

How type checking differs from similar terms
TermWhat it isWho writes or uses itWhen
type checkingChecks types matchDevelopersBuild time
type inferenceLanguage guesses types for youDevelopersWhile coding
type safetyProtection from type errorsDevelopersLanguage design

Practice

Try it

4 quick exercises

Pick the most natural phrasing

1. You want to tell your team that you will verify data types. Which sounds most natural?

Complete the sentence

2. The development team decided to implement _______ to catch type errors before deployment.

Spot the mistake

3. Which sentence uses type checking incorrectly?

Rewrite naturally

4. Rewrite this in natural tech English: 'Before we push the code, we need to look at all the types to make sure they are correct.'

Say it out loud

Phrase 1 of 3

"We should enable strict type checking on this project."

We don't save your recording. The word check uses your browser's speech recognition.

More about type checking

Real examples(3)

  • in a standup

    "Yesterday we implemented type checking in the authentication module, and it already found three potential bugs."

  • in a code review

    "I noticed you didn't add type annotations here. We require type checking on all new code."

  • in a team meeting

    "Our static type checking configuration will now enforce stricter rules to improve code quality."

More mistakes(2)

Handle with care. Do not confuse with spell checking or runtime checking. Type checking specifically refers to verifying that data types are used correctly before or during code execution.

  • ✕Type checking is dynamic or static language.
    ✓Type checking can be dynamic or static depending on the language.

    Type checking is a process or feature, not something that is inherently dynamic or static. Clarify that it depends on the language implementation.

  • ✕We type checked all the code yesterday.
    ✓We ran type checking on all the code yesterday.

    Use verbs like 'run' or 'enable' with type checking rather than making it a simple past-tense verb.

Other forms(4)

  • type checking noun

    "Type checking helps us catch errors early in development."

  • type checking tools noun phrase

    "We use several type checking tools to ensure code quality."

  • enable type checking verb phrase

    "We decided to enable type checking across all microservices."

  • run type checking verb phrase

    "The CI pipeline runs type checking on every pull request."

Often used with(5)

  • strict type checking · Used when describing very rigorous type verification; implies zero tolerance for type mismatches.
  • static type checking · Type checking performed before code execution, at compile time or during linting.
  • dynamic type checking · Type checking performed during code execution at runtime.
  • enable type checking · Common phrase meaning to activate or turn on type checking in a project or tool.
  • type checking tool · Software that performs type checking, such as TypeScript, mypy, or ESLint.

Similar words(2)

  • type validation · Similar concept but validation implies checking against rules; type checking is more specific to verifying correct data types.
  • static analysis · Broader category that includes type checking; static analysis covers other code quality checks too.

Opposites(2)

  • untyped
  • dynamic typing without checks

Questions(5)

What does type checking mean in software engineering?
Type checking is the process of verifying that variables, functions, and operations in code use the correct data types. It prevents errors by ensuring, for example, that you do not try to add a number to a text string. Type checking can happen before code runs (static) or while it runs (dynamic).
How do you use type checking in a sentence at work?
You typically use it with phrases like 'enable type checking', 'run type checking', or 'implement type checking'. For example: 'We should enable strict type checking on this project' or 'The CI pipeline runs type checking on every commit.'
Is type checking formal or informal?
Type checking is neutral in formality. It is used equally in casual conversations between developers and in formal documentation. It is a standard technical term across the industry.
What is the difference between static and dynamic type checking?
Static type checking happens before code runs, at compile time or during linting. It catches type errors before execution. Dynamic type checking happens while the code runs and checks types during execution. Languages like TypeScript use static checking, while Python often uses dynamic checking.
Why is type checking important?
Type checking catches bugs early, reduces runtime errors, improves code reliability, and makes code easier to understand and maintain. It is especially valuable in large teams and complex projects.
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