Keploy

Discover how Keploy uses AI to automatically generate accurate, full-coverage tests for you.

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Published on:

September 1, 2025

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Keploy application interface and features

About Keploy

What if you could discover a world where writing exhaustive tests wasn't a bottleneck to shipping fast, reliable software? Keploy is an AI-powered testing platform designed to turn that curiosity into reality. It's not just another test generator; it's a comprehensive ecosystem that automates the creation of accurate, functional test cases and mocks directly from your application's traffic and code. Built for modern development teams working with microservices and complex integrations, Keploy promises to slash the time and effort traditionally associated with achieving high test coverage. Its core magic lies in its ability to record real API calls and application behavior, then intelligently convert them into executable test suites and stubs for dependencies like databases and external services. This means developers can focus on building features while Keploy ensures robustness, catching regressions and edge cases early. Supporting popular languages like Go, Java, Python, and Node.js, it integrates seamlessly into existing CI/CD pipelines, making it a powerful ally for anyone looking to maximize coverage and minimize manual testing effort.

Features of Keploy

AI-Generated Unit Tests

Imagine an AI agent trained specifically on programming languages, capable of reading your code files and instantly generating accurate, high-coverage unit tests. Keploy's Unit Testing Agent does exactly that, eliminating the flakiness and time waste of manual test writing. It promises 100% unit test coverage by understanding your code's logic and creating tests that are reliable and integrated directly with your preferred testing frameworks like JUnit or PyTest, all without being a simple ChatGPT wrapper.

Record & Replay for API Testing

Curious about how your application behaves in the wild? Keploy's API Testing and Mocking Agent uses eBPF technology to non-intrusively record all API calls and network interactions made to your server. It then replays these recordings as automated test cases, simultaneously generating intelligent mocks for external dependencies. This feature allows you to create a rich, functional test suite based on real user behavior and system interactions without writing a single line of test code.

Seamless CI/CD Integration

Testing shouldn't break your flow. Keploy is built from the ground up for continuous integration and delivery. It integrates effortlessly into popular pipelines like GitHub Actions, GitLab Runners, and Bitbucket, requiring no complex test environment setups. Tests and mocks generated by Keploy run directly in your CI/CD stages, providing immediate feedback on code changes and ensuring consistent, reliable builds every time.

Centralized Reporting & Global Insights

How do you track quality across dozens of repositories? Keploy Enterprise offers a centralized dashboard that provides real-time, global visibility into your testing health. You can discover metrics like test coverage trends, failure rates, and performance insights across all projects and teams. This feature enables organizations to make data-driven decisions to improve code quality and identify testing gaps at a macro level.

Use Cases of Keploy

Accelerating Development Velocity for Microservices

For teams building with microservices, testing complex service interactions is a major challenge. Keploy simplifies this by automatically recording inter-service communications and generating integration tests and mocks. This allows developers to confidently refactor or add features to one service without fear of breaking downstream dependencies, significantly accelerating development cycles and reducing integration bugs.

Achieving High Coverage in Legacy Codebases

Diving into a legacy system with little to no test coverage can be daunting. Keploy provides a pragmatic path forward. By deploying the tool and generating traffic (or using existing logs), teams can automatically create a foundational layer of API and integration tests. This rapidly builds a safety net, making the codebase more maintainable and enabling safer future enhancements.

Enforcing Quality Gates in PR Workflows

What if every pull request came with its own set of generated unit tests? Keploy's GitHub PR Agent automates this process. For every new PR, it can analyze the changed code and automatically generate relevant unit tests, ensuring that coverage standards are met and functionality is verified before merging. This embeds quality assurance directly into the developer workflow.

Simplifying Testing for External Dependencies

Testing code that relies on third-party APIs, databases, or payment gateways is complex and often requires mocking. Keploy elegantly solves this by recording these external calls during normal operation and creating accurate, configurable mocks. This allows for comprehensive testing in isolation, without needing live connections to external systems, making tests faster and more reliable.

Frequently Asked Questions

How does Keploy generate tests without being a simple AI wrapper?

Keploy combines several sophisticated techniques. For unit tests, it uses language-trained AI models specifically fine-tuned on code semantics. For integration and API tests, it employs a record-and-replay mechanism powered by eBPF to capture real network calls and application state. This combination of context-aware AI and actual runtime data generation ensures the tests are functional, accurate, and integrated with your tech stack, going beyond generic text completion.

What programming languages and frameworks does Keploy support?

Keploy currently offers robust support for four major programming languages: Go, Java (including Spring Boot), Python, and Node.js. It integrates with the standard testing frameworks in these ecosystems, such as JUnit, PyTest, Jest, and Go's native testing package. This broad support covers a significant portion of modern backend and service-oriented development.

Can Keploy be used in a production environment?

Yes, Keploy is designed to be safe for production use. Its recording agents, particularly those using eBPF, are built to be non-intrusive and have a minimal performance overhead. This allows teams to record real user traffic in staging or production environments to generate the most realistic test cases and mocks possible, which is a key strength of the platform.

What is the difference between Keploy Open Source and Keploy Enterprise?

The open-source version provides the core functionality for generating tests and mocks from recordings, ideal for individual developers and teams to get started. Keploy Enterprise adds advanced features crucial for larger organizations, such as a centralized reporting dashboard, smarter test deduplication, global coverage insights, cross-repository metrics, the GitHub PR Agent, and dedicated enterprise support for scaling testing efforts across many teams and projects.

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