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What are API testing strategies and how do you apply them in real projects?
Hi everyone,
I’ve been trying to understand API testing strategies and how they are used in real-world development. From what I’ve learned, API testing involves sending requests to endpoints and verifying if the responses match expected behavior, including status codes, data, and performance. (Keploy)
But when it comes to building a proper strategy, it gets a bit confusing—especially with things like functional testing, integration testing, contract testing, and handling edge cases.
I came across this guide by Keploy which explains API testing strategies, best practices, and how to structure testing in modern workflows:
https://keploy.io/blog/community/api-testing-strategiesIt also talks about automating tests by capturing real API traffic and generating test cases, which seems useful for improving coverage and reducing manual effort. (Keploy)
How do you approach API testing in your projects? Do you rely more on manual testing, automation, or a mix of both?
keploy.io
What is API Testing? Complete Guide for 2026 | Keploy
Definition, 5 types (functional, integration, contract, performance, security), tools, and automation. Auto-generate tests from real traffic with eBPF.
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