KushoAI finds bugs in backend user journeys. Allow KushoAI to run contract testing for your APIs- just add API specifications and watch as an exhaustive test suite gets generated from scratch. Execute these tests with auto-generated response validations.
Hi Hunters,
I'm Abhishek, Co-founder at KushoAI- an AI Agent that tests backend journeys in minutes.
We launched KushoAI in public three months ago with the singular goal of making software engineering more fun by reducing busywork. Since then, we have scaled up to over 5000 software and QA engineers who have used KushoAI to build nearly 18000 bug-free APIs. The platform today writes a test every second for users from more than 750 organisations globally.
At KushoAI, we work closely with our users and iterate on their feedback. Today, we’re launching our most-requested feature, end-to-end (E2E) testing for APIs. E2E contract testing is often complex and resource-intensive. We’ve built the fastest and most intuitive way to end-to-end test backend user journeys with AI. Simply connect pieces of your backend flows like legos and let us do the rest!
E2E with KushoAI lets you move from testing individual APIs with AI to testing a whole journey effortlessly
- Connect multiple APIs in a flow visually to design E2E journeys (including combinatorial tests)
- KushoAI thinks of test scenarios and writes test code instantly for the entire journey and lets you run through all combinations with a single-click
- Add any additional tests by just writing scenarios in plain english
- Run E2E tests on your local or plug it into your CI pipeline
End-to-end testing with KushoAI ensures you deploy fixes before bugs reach your users. Once again, we are looking forward to feedback from the PH community!
This is huge for teams managing large-scale systems with multiple APIs. KushoAI is
going to make managing API test coverage so much easier!"
Huge congrats to the KushoAI team on today's launch!
Minutes to test backend journeys with AI? That's lightning speed! I'm curious - how does KushoAI handle complex, conditional logic within API specs? Would love to see an example of that in action!
I'm not sure how much I trust an AI to generate test suites. I'd like to have more control over the process.
Congrats on the launch! 🌟 KushoAI looks awesome! I'm curious how you make sure to cover all possible edge cases. 🤔
Wow, KushoAI is really stepping up the game in API testing! As someone who's dealt with the headaches of E2E testing, this sounds like a breath of fresh air. The visual flow design and AI-powered scenario generation are super intriguing. I'm curious to see how it handles complex backend journeys in practice. If it's as intuitive as they claim, it could be a real time-saver for dev teams.
Do we need manual intervention to connect the relationships between API interfaces and select the corresponding use cases? If so, it would require quite a bit of manual operation, right? I'm also curious if the test case data is generated automatically. What rules are used for generation? Will there be redundant data?
