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By Keploy
Automated functional testing means using scripts or tools to check that each feature of an application does what the requirements say, without a person clicking through every step. The tool sends the inputs, compares the result with what was expected and flags anything that breaks, on every build if you want it to. That is the textbook version. The practical version is simpler: you stop re-testing the login page by hand every Friday afternoon.
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By Keploy
Here is a situation most backend teams have lived through. A developer changes how the user service formats dates. It is a tiny change: one line, a cleaner ISO format, every unit test still green. The pull request gets approved in five minutes. Two days later, the billing service starts failing to generate invoices, because it was still expecting the old date format from the user service. Two kinds of testing could have caught that, and they are the subject of this post.
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By Keploy
API regression testing re-runs your API tests after every code change so existing endpoints keep returning what clients expect. A solid setup checks response shapes, auth, and latency, mocks external dependencies, and runs a fast suite on each pull request with the full suite nightly. Keploy, an open-source tool, generates that suite and its dependency mocks from real API traffic, so teams get regression coverage without writing scripts.
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By Keploy
Your frontend is ready, but the backend endpoint it depends on ships next sprint. Your QA team wants to test a payment flow, but the third party sandbox is down again. Your CI pipeline fails twice a week because a staging database returned different data. All three problems have the same fix: an API mocking tool. API mocking tools let you simulate an API, or any dependency your service talks to, so you can build and test without waiting on the real thing. The hard part is picking one.
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By Keploy
For years, picking a BDD testing tool was a two-option decision: Cucumber if you wrote Java, JavaScript, or Ruby, and SpecFlow if you lived in.NET. That changed when SpecFlow reached end of life in December 2024, and newer stacks like Playwright and Go now have their own BDD options. This guide compares the 10 BDD testing tools worth considering in 2026. Every tool runs the same example scenario, so you can compare the code side by side, and each entry ends with who it suits and what it costs you.
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By Keploy
Service virtualization tools don’t all solve the same problem. One team needs to simulate a single flaky HTTP dependency in CI. Another is dealing with mainframe middleware and legacy messaging protocols that most tools don’t touch. A third is running microservices on Kubernetes and wants traffic captured automatically without writing a single stub file. The category has expanded fast.
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By Keploy
API simulation replaces real dependencies with stand-ins that respond like the actual service, keeping tests deterministic and free from rate limits, per-call fees, or unfinished upstream APIs. Simulators are built from hand-written stubs, OpenAPI specs, or recorded traffic; Keploy follows the recorded-traffic approach, capturing real HTTP, gRPC, database, and queue calls and replaying them automatically.
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By Keploy
Ask five engineers whether a test is "functional" or "integration" and you will probably get three answers. That is not because people are confused. It is because the same test can honestly be both. Here is the short version. Integration testing checks that components work together. Functional testing checks that the software does what the requirements say. One is about how the pieces connect. The other is about what the user gets.
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By Keploy
Bruno is an open source, offline-first API client that stores your API collections as plain text files inside your Git repo. It gives you a fast GUI for building and sending REST, GraphQL, gRPC, and WebSocket requests, plus a scripting layer for writing tests against the responses. This guide covers Bruno API testing from install to CI, so by the end you can build a request, assert on its response, and run the whole suite from the command line.
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By Keploy
Service virtualization replaces real external dependencies (APIs, databases, queues, or third-party services) with controlled simulations that respond like the real thing. Tests run against these virtual services whether the real dependency is unavailable, expensive to call, or still being built. Keploy implements this by capturing real dependency interactions from live traffic and replaying them automatically in CI.
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By Keploy
Test your whole backend without starting any of it. In this demo, Keploy records real API traffic from an order service running on Kubernetes and turns it into API tests and dependency mocks automatically: MySQL, HTTP and DNS calls included. Then it replays those tests against a digital twin of the backend, so nothing else needs to be running.
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By Keploy
Tired of writing API tests and fake database responses by hand? In this demo, an AI coding agent (Claude Code) does it for you: it watches real requests to a Kubernetes app, turns them into tests, catches bugs, and checks every pull request automatically.
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By Keploy
Ever wondered why your test suite keeps growing even though you're testing the same few flows over and over? 👀 In this video, we break down how Keploy automatically detects and removes duplicate tests - so your suite stays fast, lean, and actually trustworthy to review.
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By Keploy
Ever had an API test fail even though nothing in your code actually changed? That's a noisy field problem and it's one of the most common causes of flaky tests. In this video, we break down: If you're tired of re-running tests just because a timestamp didn't match, this one's for you. Timestamps.
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By Keploy
Your developers — and your AI agents — need a safe way to test against production-like behavior. Keploy records real API traffic and replays it as a digital twin sandbox, so you can catch regressions before they ship. No manual mocks. No production access. No complex test environment setup. Record → generate tests and mocks → replay in CI.
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By Keploy
Your developers — and your AI agents — need a safe way to test against production-like behavior. Keploy records real API traffic and replays it as a digital twin sandbox, so you can catch regressions before they ship. No manual mocks. No production access. No complex test environment setup. Record → generate tests and mocks → replay in CI.
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By Keploy
Give your developers — and your AI agents — a digital twin of your live environment. Keploy records real traffic from your live services (no production access, nothing to spin up) and replays it as a faithful twin, so you can continuously verify behavior and catch regressions before they ship. In this demo: record a live service, turn that traffic into integration tests and mocks automatically, replay everything against digital-twin sandboxes, and wire it into CI for continuous verification.
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By Keploy
In this video, I walk through how Keploy works with Claude to make testing faster and more reliable for developers. You’ll see how to use Claude with Keploy to generate test cases for a new feature, based on your application context and API behavior. I also cover what happens when a Keploy test fails because of a breaking change, regression, or an expected product update.
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By Keploy
see Keploy’s agentic-AI in action! In this quick demo we paste a handful of cURL calls, the GitHub base URL, and the OpenAPI spec—then ask Keploy for 40 test flows. In under a minute it.
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By Keploy
Learn how to migrate effortlessly from Cypress to Keploy for API testing in this step-by-step guide. Keploy is an open-source testing platform that simplifies API testing by enabling zero-code test generation and mocking, saving time and effort.
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Keploy is a developer-centric backend testing tool. It makes backend tests with built-in-mocks, faster than unit tests, from user traffic, making it easy to use, powerful, and extensible.
- Combined Test Coverage: Merge your Keploy Tests with your fave testing libraries(JUnit, go-test, py-test, jest) to see a combined test coverage.
- EBPF Instrumentation: Keploy uses EBPF like a secret sauce to make integration code-less, language-agnostic, and oh-so-lightweight.
- CI/CD Integration: Run tests with mocks anywhere you like—locally on the CLI, in your CI pipeline, or even across a Kubernetes cluster. It's testing wherever you want it!
- Multi-Purpose Mocks: Use 'em in existing tests, as server tests, or just to impress your friends!
- Record-Replay Complex Flows: Keploy can record and replay complex, distributed API flows as mocks and stubs. It's like having a time machine for your tests—saving you tons of time!
Give your teams the tool they need to move faster.