During every release, developers know which code changed, QA knows how the application is validated and engineering managers need confidence before shipping.
What was consistently missing was a shared understanding of how code changes related to historical application behavior. Existing tools explained static relationships, but rarely answered a much simpler question:
"If this method changes today, what has historically depended on it?"
RQ is an exploration of that idea—using observed runtime execution to build engineering knowledge that can be reused for future development, testing and release decisions.
"I changed PaymentService, OrderService and CartValidator."
"I know Checkout, Orders and Refund testing, but I don't know which code changed."
"Can we release with confidence before tonight?"
RQ continuously learns how your application behaves by observing real application execution. Historical execution becomes engineering evidence that can be reused for future releases.
Capture methods, APIs and automated tests during application execution.
Build relationships between commits, methods, APIs and tests.
Compare new code changes with historical execution history.
Identify candidate regression tests and affected business workflows.
RQ is designed for modern server-side applications where application requests are processed through HTTP APIs. This includes Java, .NET and Python frameworks commonly used in enterprise applications.