Current software testing approaches are often inefficient and costly, leading to reliability issues and wasted engineering effort due to the difficulty of reproducing bugs and anticipating unforeseen situations. Traditional methods struggle to find "unknown unknowns" and often require significant manual effort from software engineers.

Antithesis offers a cloud-based platform that autonomously tests software systems by injecting faults and analyzing system behavior within a fully deterministic simulated environment. This allows for the continuous identification of bugs, including those in complex distributed systems, and ensures that all problems found can be perfectly reproduced, enabling efficient debugging. The platform explores a multitude of predefined properties and offers an SDK for defining additional test properties specific to the system, finding bugs that developers didn't anticipate. By performing tests in a simulated environment, Antithesis eliminates the risk of downtime associated with fault injection in production systems.

Cloud-based platform for continuous software reliability testing

Autonomous testing through fault injection and behavior analysis

Deterministic simulation environment for perfect bug reproducibility

SDK for defining custom test properties

Automated exploration of code paths to uncover "unknown unknowns"

Support for testing complex distributed and interactive systems

Integration with CI/CD pipelines for automated testing with each new code push

Tools for debugging, including the ability to rewind time, change inputs, and examine system state

Antithesis targets software development teams, particularly those working on complex distributed systems, who want to reduce the time spent on testing and debugging while increasing the reliability of their software.