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By Keploy
Shift left vs shift right testing isn’t really a debate. Teams that treat it as one end up with gaps that neither approach covers alone. Shift left catches defects before they reach production. Shift right learns from what happens after they do. The teams shipping most reliably in 2026 don’t choose between them. They run both and build a feedback loop where each approach makes the other more effective.
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By Keploy
Change failure rate tells you something deployment frequency can’t. Whether the code you’re shipping is actually working when it gets there. Most teams track how often they deploy. Fewer track what percentage of those deployments immediately cause problems. That gap is where CFR lives. A team deploying 50 times a week with a 30% failure rate isn’t performing well. It’s creating problems faster than it can resolve them.
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By Keploy
If your team spends more hours fixing tests than writing features, you already know the problem. You don’t need another lecture on "why testing matters." You need to reduce test maintenance without gutting your coverage, and you need it to actually stick past next sprint.
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By Keploy
Every tester has lost an afternoon to an environment that would not behave. The code was fine. The suite was fine. The problem was the ground the tests ran on. That ground has a name, and getting it right is quietly one of the highest leverage things a QA team can do. It is called a test bed, and this guide walks through what it is, what goes into one, why it tends to fall apart, and how teams keep it stable without babysitting infrastructure all day.
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By Keploy
I’ve watched enough production incidents get traced back to a "small" API change to know this: contract testing tools exist because integration bugs are expensive, and most teams find that out the hard way. One service changes a response field, nobody notices until a downstream consumer breaks in production, and now three teams are on a call at 11 PM figuring out whose change caused it. Most "best contract testing tools" lists just dump fifteen names on you with no structure.
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By Keploy
CI/CD testing is the practice of running automated tests throughout a Continuous Integration and Continuous Delivery (CI/CD) pipeline to validate every code change before deployment. By automating unit, integration, API, and end-to-end tests, teams can catch bugs early, improve code quality, and release software faster with confidence.
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By Keploy
Vibe testing is what happens when the way software gets built changes faster than the way it gets tested. For years, QA worked on a simple assumption: developers write the code, testers verify it. That assumption breaks down when the code is being generated by an AI from a plain English prompt. The person shipping the feature may not have written a single line of it – and may not fully understand how it works under the hood.
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By Keploy
Every bug that gets fixed in your product goes through the same journey. Someone finds it, someone confirms it, someone fixes it, and someone proves the fix actually works. That journey is the bug life cycle, and teams that manage it well ship faster than teams that treat bug tracking as an afterthought.
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By Keploy
Passing automated tests doesn’t always mean your software is ready for users. Many issues only surface when business stakeholders interact with the product in real-world scenarios and validate it against actual requirements. That’s where UAT testing software comes in. It helps teams manage test cases, collaborate with stakeholders, track defects, and streamline the final approval process before release.
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By Keploy
The first time I watched a deployment take down a production app, I was a junior engineer with no idea what a deployment strategy actually was. I assumed "deploying" just meant pushing code and refreshing the page. Deployment strategies are the structured approaches development teams use to release software updates into production, defining how, when, and how safely code moves from a repository into the hands of real users.
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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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By Keploy
Learn how to migrate effortlessly from RestAssured 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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By Keploy
Istio Ambient Mesh is a massive overhaul of Istio's data plane architecture. The goal is to simplify operations and make it more cost effective to run a service mesh like Istio in production. In this video we will look at: 1] What are the challenges of a traditional service mesh sidecar approach? 2] Take a look at how Istio Ambient Mesh Solves that problem.
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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.