SprintsQ is a no-code test automation platform, which helps to automate repetitive manual tests without code. With SprintsQ you can create test cases just like creating manual tests and run them on the cloud without any configuration. You can monitor the tests at regular intervals and also you can integrate your tests into the CI/CD pipeline.
SprintsQ's answer:
MERN, Playwright, Digital Ocean
SprintsQ's answer:
Easy test maintenance and fast execution.
SprintsQ's answer:
SprintsQ's pre-built actions helps you to create tests like writing your manual cases, zero coding required. You don't need to locate elements by id, css, Xpath. You can easily locate by it's name and role.
SprintsQ's answer:
-Arma Chat -Litz Tech
Based on our record, Pythagora seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
At Pythagora, we've built security reviews directly into the AI development process. Instead of requiring developers to manually catch these patterns, our platform identifies common security issues as code is generated and suggests fixes automatically. - Source: dev.to / 4 months ago
At Pythagora, we build these security measures into the development process by default, rather than requiring separate prompts. Security shouldn't be an afterthought - it should be integrated from the first line of code. - Source: dev.to / 4 months ago
At Pythagora, we've seen too many promising AI-generated projects die because users couldn't understand what was going wrong when issues inevitably arose. That's why we built debugging capabilities directly into the development process:. - Source: dev.to / 4 months ago
At Pythagora, we've built our platform specifically to address these transition points where other AI tools break down. Instead of just generating code and leaving you stranded when issues arise, Pythagora provides:. - Source: dev.to / 5 months ago
When we started building Pythagora in 2023., it was one of the first agentic systems where AI agents work together to create entire codebases - so, we wanted to share it with the world by showing and inspiring others to build complex systems. However, we knew we needed to protect our innovation from being exploited by larger companies. - Source: dev.to / 8 months ago
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