Kusho

Kusho

Save hours every day with AI

AppCritica Score

4/5

Kusho Overview

KushoAI transforms your API specs or UI workflows into ready-to-run test suites. It supports both backend APIs and web user interfaces so you can automate full test coverage in minutes instead of writing tests by hand.

Kusho Features

AI-written automated tests for web UIs and backend APIs. Test scenario generation from natural-language inputs Real-time synchronization of tests with changing codebases Auto-updating tests to maintain 100% relevance with code changes Autonomous test execution aligned with development workflow Support for large codebases with hundreds of APIs

KushoAI lets you upload API specifications (OpenAPI, Postman collections, cURL commands) or record user interface interactions. From that input it generates test suites covering everyday use cases, edge cases, and error conditions. 

Once generated you can run these tests right from KushoAI or plug them into your CI/CD pipeline. Tests remain valid even as your code changes, because KushoAI keeps them in sync with your codebase. 

For teams or developers working on many endpoints or complex workflows, this tool reduces the heavy burden of writing tests by hand. It lets you detect regressions early, verify backend and UI logic together, and maintain stable releases without repeatedly crafting boilerplate test code. 

Pros & Cons

Pros:

Generates full test suites automatically from API specs or UI flows. 

Covers both backend APIs and frontend UI workflows for complete testing. 

Keeps tests updated when code changes to avoid stale or broken tests.

Cons:

For very specialized or unconventional API behavior, automatically generated tests may miss edge conditions.

Some manual review may still be required to ensure test logic matches business requirements.

Reliance on correct input spec or accurate UI recording to generate useful tests.

For projects with custom or legacy infrastructure execution may need extra setup (e.g. proxy or browser extension). 

Large or complex systems might demand manual tweaks after generation to reach desired test fidelity.

Kusho Reviews

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