This page is designed to help you find out whether Keploy.io is good and if it is the right choice for you.
Keploy is AI based test case and stubs/mocks generator for e2e testing. 90% test coverage in minutes with open source testing tool
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Stub Generation
Effortless Stub Generation for Comprehensive Test Coverage!
Test Duplication
Increase Test coverage with Keploy Duplication feature!
Native integration
Maximizing Efficiency and Seamlessness with Native Integration!
Unit Test Generation
Generate automated unit tests effortlessly
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Check the traffic stats of Keploy.io on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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The latest comments about Keploy.io on Reddit. This can help you find out how popualr the product is and what people think about it.
A couple of months ago I came across a product called Keploy on LinkedIn. I went to their site to read about it, and the pitch stopped me: it writes your integration tests for you by watching your app run. I went like --. - Source: dev.to / 24 days ago
Keploy applies this record and replay approach to API and application testing by capturing application interactions, automatically generating test cases and mocks, and replaying those scenarios against new builds. This allows teams to use realistic application behavior as an additional verification layer for code changes, including changes generated with AI coding assistants. - Source: dev.to / 16 days ago
Keploy is built for modern teams and modern stacks. It runs natively on Kubernetes. Teams can deploy it as part of a cluster, capture traffic from staging or canary environments, and replay that traffic in CI without any live dependency present. The tech is cloud-native from the ground up, not a desktop tool adapted for containers. - Source: dev.to / 30 days ago
Open source tools like Keploy help streamline this process by creating stable, deterministic Test cases and mocks, reducing external dependencies and human error. In modern testing environments where CI/CD Pipelines are the norm, reducing test flakiness should be a top priority. Not only does it ensure trust in your Automation suite, but it also boosts confidence in every release, leading to better software and... - Source: dev.to / about 1 month ago
Keploy captures HTTP requests, database queries, gRPC calls, and queue operations from live traffic at the kernel level using eBPF. The captured interactions run as virtual services in CI pipelines without any live dependency present. No code changes or proxy setup. Open source under Apache 2.0. - Source: dev.to / about 1 month ago
At Keploy I built a retrieval-augmented chatbot over their documentation, using vector embeddings, so developers could ask a question instead of hunting through pages. A single question to something like that is not one operation. It is a chain, and a trace is just that chain written down. - Source: dev.to / 3 months ago
Keploy revolutionizes integration testing by capturing real API traffic and automatically generating test cases from it. It mocks external systems, ensuring that the tests are repeatable and reliable, making integration testing easier and faster. With seamless CI/CD integration, Keploy ensures that your code is always validated before it reaches production. - Source: dev.to / 10 months ago
Find out how modern platforms such as Keploy allow organizations to verify that their products behave properly in the real world through automated tests paired with production-like feedback cycles. - Source: dev.to / 11 months ago
Companies are increasingly using several tools to facilitate the adoption of Artificial Intelligence (AI) testing in Software Development (DevOps) organizations, particularly in environments with many APIs or microservices. Keploy is an excellent example of how generative AI has been integrated into back-end API testing. Keploy collects real API traffic and automatically converts that data into reusable test cases... - Source: dev.to / 11 months ago
Integration failures and API behavior changes are common sources of regressions that UI tests alone cannot detect. Tools like Keploy help teams validate real API behavior and detect regressions early, making backend testing signals more reliable without increasing test maintenance overhead. - Source: dev.to / 11 months ago
From easy setup and smooth debugging to organized workflows and strong support for python unit tests and structured test case in testing, Visual Studio provides everything needed to build stable and scalable applications. And with modern tools like Keploy enhancing testing accuracy, teams can deliver software that is both reliable and user-ready. - Source: dev.to / 11 months ago
Keploy records actual API traffic and produces scripts that contain test steps, test data, and expected results for modification and automated execution. This minimizes the work of writing test scripts from scratch and enhances coverage and accuracy. Plus, in cooperation with CI/CD pipelines, Keploy assists QA teams in sustaining reliable automated tests based on real usage, thus making it easier to catch bugs... - Source: dev.to / 12 months ago
While automated tests cover predefined scenarios, they may miss real-world usage patterns. Tools like Keploy capture actual application interactions and generate test cases automatically, ensuring tests remain aligned with real user behavior. Incorporating such feedback improves coverage and helps scale automation intelligently. - Source: dev.to / 12 months ago
When combined with modern automation tools such as Keploy, white box testing becomes even more powerful — ensuring that every line of code not only works but performs at its best. - Source: dev.to / 12 months ago
With AI detection insights available in real time, developers became more conscious of their code quality. The QA team could prioritize testing for AI-written code, conducting deeper validation through integration tests and user-level acceptance testing. - Source: dev.to / about 1 year ago
The solution: Combine integration tests with canary testing. Ensure that dependent services are monitored during the rollout. Tools that trace API calls and dependencies can help you detect ripple effects early. - Source: dev.to / about 1 year ago
Keploy is purpose-built to automate integration testing with minimal manual effort. It captures real user API traffic, generates test cases with built-in mocks for dependencies, and replays these tests on new versions of the application. - Source: dev.to / about 1 year ago
Building secure authentication systems is only half the job — ensuring they function correctly during every update is equally important. This is where Keploy simplifies API test automation for developers. Keploy is an open-source API testing and mocking tool that automatically generates test cases from real API calls. It captures authentication headers, tokens, and responses, converting them into repeatable test... - Source: dev.to / about 1 year ago
If you're part of the teams that work on APIs or microservices these days, you understand how difficult testing becomes, particularly when you have to juggle internal API contracts, mock setups, and CI/CD pipelines. That's when Keploy comes in. - Source: dev.to / about 1 year ago
Quality assurance has become more critical than ever in AI-assisted development. Tools like Keploy are leading the charge in automated testing, helping developers ensure that AI-generated code meets reliability and performance standards. These modern testing platforms integrate seamlessly with AI coding workflows, automatically generating test cases, mocking dependencies, and validating that code behaves correctly... - Source: dev.to / about 1 year ago
For teams looking to enhance their integration testing capabilities with modern approaches, tools like Keploy offer innovative solutions for automated test generation and API testing, helping bridge the gap between manual testing effort and comprehensive integration coverage. By embracing these tools and principles, development teams can build more reliable, maintainable systems that deliver value to users with... - Source: dev.to / about 1 year ago
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