Dev
Générateur de messages d'erreur
An error message generator produces realistic HTTP status codes paired with clear, human-readable messages, ready to drop into tests, mocks, and documentation. Choose how many you want and it returns a shuffled selection from the common codes — 400, 401, 403, 404, 409, 422, 429, 500, 502, 503 — each with a concise explanation of what it means. Developers use it to seed error-handling test cases, populate a mock API with varied failure responses, and write API documentation that lists possible errors without copying them from a spec each time. Each entry combines the numeric status with a plain-English description, so it is useful both for code and for explaining errors to less technical readers. Everything runs in your browser and reshuffles on each run. Copy the set into your fixtures or docs, and adjust the wording to match your application's tone and the specifics of each failure.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Choose how many error messages you want.
- Click Generate to produce a shuffled set.
- Copy the codes and messages into your tests, mocks, or docs.
- Adjust the wording to match your application.
Use Cases
- •Seeding error-handling test cases with varied responses
- •Populating a mock API with realistic failure messages
- •Documenting the possible errors an endpoint can return
- •Building a reference of common HTTP status codes
- •Explaining error meanings to less technical teammates
Tips
- →Use a varied set to test that your error handling covers each case.
- →Avoid leaking internal detail in user-facing error messages.
- →Add a recovery hint to user-facing errors where you can.
- →Match the message tone to the rest of your application.
FAQ
which status codes are included
The generator draws from the most common client and server errors: 400, 401, 403, 404, 409, 422, and 429 on the client side, and 500, 502, and 503 on the server side. These cover the failures most APIs need to handle.
are these messages production-ready
They are clear and accurate starting points, but you should tailor the wording to your application and avoid leaking sensitive detail. For user-facing errors especially, adjust the tone and add guidance on what the user can do next.
why pair codes with descriptions
The numeric status tells software how to react, while the plain-English description helps developers and readers understand the failure. Having both makes the output useful for code, tests, and documentation alike.
What makes a good error message?
A good error message says what went wrong in plain language, avoids blame and jargon, and ideally tells the user what to do next — "We couldn't save your changes. Check your connection and try again" beats "Error 500". The generator produces messages paired with codes; favour the clear, human ones for anything a user will read, and keep raw codes for logs.
Should error messages tell the user how to fix the problem?
Where possible, yes — an actionable next step ("try again", "check the email format", "contact support with this code") turns a dead end into a path forward and cuts support load. Not every error has a user fix, but most have a sensible next move. The generator can produce friendly messages you can extend with that guidance, so your errors help rather than just announce failure.
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