Understand API purpose - Deepstash

Understand API purpose

Understanding the purpose of the API can help you get a good idea of the kind of data the API collects as input and the kind of data it gives out. There are different formats of data used with APIs. Some examples are JSON, YAML, e.t.c.

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MORE IDEAS FROM API Best Practices You Should Know

Documentation is essential to API development. It gives the users a firmer understanding of the API endpoints along with their functions, the API data types, and its overall workflow.

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Writing tests can not be overemphasized as it is also essential to building quality software. It helps solve security issues, resolve errors in the codebase, and test API workflow.

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An API should be easy to read as this will make it easy to understand. Readability includes API definitions and response messages. Writing readable code also applies to software development as this will make it easier for further development and collaboration with other developers. Use readable response messages that include both error and success messages clearly stated out using standard error codes to give more understanding to the consumers.

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Implementing rate limiting on your API is essential in managing resources. This forces developers to take a more optimized approach to use your APIs. You can also build paid version of your API by increasing rate limits for paid customers.

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As your codebase expands, small errors and edge cases you don’t expect can cascade into larger failures. Bugs lead to bad user experience and ultimately, business losses. One way to prevent fragile programming is to test your code before releasing it into the wild.

There is more value in testing than you might realize. One of the best ways to fix a bug in your code is to write a failing test that exposes it. Then when you fix the bug and re-run the test, if it passes it means the bug is fixed, never reintroduced into the code base.

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As already mentioned, debugging is considered a subset of troubleshooting. However, troubleshooting does not always entail solving the problem at that moment in time. There may be procedural constraints or workflow protocols that prevent the issue from being solved immediately. Debugging, on the other hand, is meant to discover and fix a problem all in the same session, whenever possible.

People use the two terms interchangeably, which can add to the confusion

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Marcus Lemonis

“People, Process, Product”

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