Kusho AI Introduction

KushoAI is an AI-powered platform that automatically generates and runs exhaustive API test suites to help developers achieve bug-free releases.
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What is Kusho AI

KushoAI is an AI-native developer productivity platform that uses large language models (LLMs) to automate API testing. Founded in 2023 by BITS Pilani alumni Abhishek Saikia and Sourabh Gawande, KushoAI aims to revolutionize software development by eliminating the need for manual API testing. The platform transforms API specifications into comprehensive test suites that integrate seamlessly with CI/CD pipelines, allowing developers to focus on core development tasks rather than time-consuming testing processes.

How does Kusho AI work?

KushoAI works by analyzing API specifications in various formats, including Postman collections, OpenAPI specs, and cURL commands. Using proprietary models coupled with foundational LLMs, it simulates an AI software developer to generate exhaustive test cases covering real-world scenarios. The platform understands natural language prompts, allowing developers to customize tests based on specific requirements. KushoAI then automatically runs these tests, providing instant results and analysis. It continuously learns and adapts to the codebase, ensuring comprehensive coverage as the software evolves. The AI agent can be integrated at any stage of the CI/CD pipeline, automating the testing process throughout the development lifecycle.

Benefits of Kusho AI

By using KushoAI, development teams can significantly reduce the time and effort spent on manual API testing, which can occupy up to 50% of the software development lifecycle in distributed systems. The platform ensures maximum test coverage in minutes, allowing for faster, more frequent releases without compromising on quality. Developers can push code with confidence, knowing that KushoAI has thoroughly tested their APIs. This leads to smoother deployments, fewer production bugs, and ultimately more reliable software. Additionally, KushoAI's ability to generate and update tests automatically means that teams no longer have to choose between meeting tight deadlines and conducting thorough testing, resulting in improved overall productivity and software quality.

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