Protect your API from traffic spikes with a ready-to-use rate limiting middleware in 10 minutes

Beginner
10 min
English

Generate a production-ready rate limiting middleware tailored to your backend stack so you can stop abuse without reading endless docs.

Steps

  1. Open ChatGPT or Claude in your browser and start a new chat.
  2. Copy the prompt template provided below.
  3. Replace the {language_framework} variable with your tech stack (e.g., Node.js with Express or Python with FastAPI).
  4. Replace the {limit} variable with the maximum number of requests allowed (e.g., 100).
  5. Replace the {time_window} variable with the time frame for the limit (e.g., 15 minutes).
  6. Paste the completed prompt into the AI tool and press Enter.
  7. Review the generated middleware code and copy it into your project.
  8. Start your server and test the endpoint by sending more requests than the limit to confirm it returns a 429 Too Many Requests error.

Prompts to Use

Act as a senior backend engineer. Write a rate limiting middleware for a {language_framework} application. The limit should be {limit} requests per {time_window} per IP address. Use an in-memory store for simplicity, but structure the code so a Redis store could be swapped in later easily. Provide the code with comments explaining the logic, and include a short example of how to apply this middleware to a specific route. Output only the code and a brief usage explanation.

Tools Used

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