Generate edge cases and keep only necessary ones
AI-Powered Unit Tests for Precision and Reliability! ๐
Manually writing unit tests is a process that can consume significant amounts of a developer's time, leading to delays in the development cycle.
Achieving higher test coverage is challenging, as it requires identifying and writing tests for all possible code paths and edge cases,leaving some part of codebase are untested and potentially prone to bugs.
Keeping unit tests up to date with frequent code changes demands ongoing effort. As the code evolves, tests need to be reviewed and updated to ensure they remain relevant and effective, which can be a significant maintenance burden.
Writing effective unit tests for complex scenarios requires deep understanding and careful consideration of various interactions and edge cases. This makes it difficult to create accurate and meaningful tests, especially in large codebases.
Tools like Co-pilot may generate tests that lack specific domain knowledge, leading to irrelevant or ineffective test cases, resulting in tests that do not accurately reflect the real-world use cases and requirements of the application.
Integrating LLM-generated tests with existing testing frameworks can be problematic. Compatibility issues, differences in coding standards, and the need for additional configuration creates friction and slow down the adoption of automated solutions.
Improve testing scope to cover complex edge cases effectively.
Obtain detailed coverage reports in Cobertura format for comprehensive analysis.
Quickly automate unit test creation, reducing manual effort significantly.
Generate reliable tests for Node and Golang based applications easily.
With Keploy, you can optimize testing by automating test creation based on single testcase.
"Makes it easy to unit test my complex systems with realistic test data."
Staff Engineer / @Nutanix
Where Code Meets Community!
"Our recent collaboration with Keploy was truly remarkable. Keploy team provided exceptional support and remained highly proactive throughout the entire experience. Keploy platform has added business value to Maruti Suzuki."
Executive Member / @Maruti Suzuki
"We've had a great experience with Keployโit's significantly improved our testing process. Using it for our Golang projects with Postgres and Redis, Keploy helps us quickly identify and fix issues by replaying real user interactions. This has saved us time and enhanced our test thoroughness. We're pleased with the results."
Senior Software Engineer / @Wednesday
Keploy's UTG automates the creation of unit tests based on code semantics, enhancing test coverage and reliability.
No, Keploy does not send any user code to remote systems, except when using the unit test generation feature. When using the UT gen feature, only the source code and the unit test code will be sent to the Large Language Model (LLM) you are using. By default, Keploy uses - litellm to support vast number of LLM backends. Yes, if your organization has its own LLM(a private one), you can use it with Keploy. This ensures that data is not sent to any external systems.
Yes, Keploy is designed to handle large codebases efficiently, though processing time may vary based on project size and complexity.
By providing a zero code platform for automated testing, Keploy empowers developers to scale up their unit test coverage without extensive coding knowledge. This integration enhances testing reports, ultimately boosting confidence in the product's quality.
Yes, Keploy optimizes costs by automating repetitive testing tasks and improving overall test efficiency.
Keploy generates detailed Cobertura format reports, offering insights into test effectiveness and code quality.
Click to experience Keploy's magic locally or book a demo for an interactive walkthrough. Embark on a journey to stress-free testing today!