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Description

Existing methods for software testing are often antiquated, inefficient, and expensive, resulting in issues with reliability and a squandering of engineering resources. Antithesis revolutionizes the landscape of testing and debugging by allowing your team to focus on software development rather than on extensive testing. Our innovative platform continuously monitors your software for potential issues within a simulated environment, ensuring that each problem can be effortlessly recreated, thereby facilitating the debugging process for even the most intricate challenges. As a cloud-based solution, Antithesis consistently evaluates the dependability of software systems. When developers create code, they seamlessly upload their software as container images to Antithesis. We subject your software to a range of conditions, promptly notifying you of any unexpected behaviors. Additionally, we assess your system against a wide array of pre-established properties, while also providing an SDK that enables the creation of custom test properties tailored to your specific requirements. This ensures that your software not only functions correctly but also meets the highest standards of reliability.

Description

Having the most skilled developers isn't enough if testing processes are hindering their progress; in fact, a staggering 80% of your software tests may be ineffective. The challenge lies in identifying which 80% is truly unnecessary. We utilize your data to pinpoint the essential 20%, enabling you to accelerate your release process. Our predictive test selection tool, inspired by machine learning techniques employed by leading companies like Facebook, is designed for easy adoption by any organization. We accommodate a variety of programming languages, test frameworks, and continuous integration systems—just integrate Git into your workflow. Launchable employs machine learning to evaluate your test failures alongside your source code, sidestepping traditional code syntax analysis. This flexibility allows Launchable to effortlessly extend its support to nearly any file-based programming language, ensuring it can adapt to various teams and projects with differing languages and tools. Currently, we provide out-of-the-box support for languages including Python, Ruby, Java, JavaScript, Go, C, and C++, with a commitment to continually expand our offerings as new languages emerge. In this way, we help organizations streamline their testing process and enhance overall efficiency.