From flaky tests to reliable releases: How Roo reclaims engineering time with Momentic

Roo is the industry-leading veterinary staffing platform connecting Veterinarians, Veterinary Technicians, and Assistants with animal hospitals for relief work and hiring opportunities. Roo empowers the largest network of veterinary professionals to earn more on their schedule while providing relief coverage to help hospitals care for pets while their teams take time off. Roo’s team also founded and spun off Roo Code, a leading open-source AI code editor used by developers at companies including Netflix, Microsoft, and Amazon.

Challenge

Managing flaky tests threatened development velocity

Roo plays a critical role in veterinary care, helping hospitals secure relief coverage quickly so they can remain staffed when their clients need it most. Any disruption across core flows, such as logging in or viewing available shifts, can leave hospitals without support and veterinary professionals without work. Because of this, the team places a strong emphasis on validating key workflows before pushing new code to production.

As the platform expanded, however, managing the growing Cypress test suite became increasingly difficult. Investigating flaky tests was time-consuming and repeatedly pulled engineers off higher-value work. Even a single false positive could delay a release and require hours of manual investigation.

To maintain development velocity while protecting uptime, Lead Software Engineer in Test Michael Coleman began evaluating AI-powered testing solutions that could complement his existing coverage and reduce the burden of managing flaky tests. Many options fell short. Some focused only on front-end UI behavior, while others relied entirely on text-based prompts that produced tests he couldn’t reliably customize or repeat across Roo’s detailed setup and teardown requirements.

Michael ultimately chose Momentic because it offered something the other tools didn’t: stable, repeatable end-to-end tests that behaved consistently across runs without demanding extensive maintenance. The ability to validate complex workflows with far fewer interruptions immediately aligned with what his lean team needed.

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Solution

Accelerating development with dependable, AI-powered testing

Partnering with Momentic enabled Roo to establish a reliable AI testing layer that supports faster, more confident development cycles. Instead of pausing development to troubleshoot flaky test failures, engineers can now validate core workflows with consistency across every release.

With Momentic’s hands-on support, Michael installed the CLI, created his first tests, and integrated them into Roo’s development workflow within days. “I can’t speak highly enough about my interactions with the Momentic team,” he shares. “They made the onboarding process painless and were always eager to iterate based on our feedback.”

Michael now executes Momentic tests through the CLI in GitHub Actions, mirroring the stages where his Cypress tests previously ran. This enables him to compare behavior across identical end-to-end flows without altering Roo’s existing development process. Because Momentic’s tests have proven significantly more stable, Michael is evaluating how and when to transition more of Roo’s gatekeeper flows from Cypress to Momentic to reduce the amount of time lost to flaky test investigations.

Beyond immediate improvements, Michael sees Momentic as a critical part of where Roo’s engineering practice is headed. Roo Code already helps engineers build features faster using AI — and Momentic opens the door to closing that loop by enabling AI to test those features as well. With Momentic’s MCP server, Michael envisions a workflow where Roo Code can both generate code and automatically generate the corresponding end-to-end tests, reducing manual effort and accelerating iteration cycles.

It represents an early glimpse into how AI will increasingly empower engineers to build and test software more efficiently, something Michael is eager to explore. “It’s an incredibly innovative workflow that we’re working toward, but we’re confident we can bring it to life using Momentic,” he says.

“I’ve been in the industry long enough to know testing is essential, despite how time-consuming it often can be. Momentic enables us to move quickly, maintain control, and eliminate brittleness, which is exactly what we need.”

Results

Hours of engineering time reclaimed and a 50% increase in test reliability

With Momentic, Roo eliminated flaky tests that previously stalled releases and consumed countless hours of engineering time per incident. Tests now run predictably across core user flows, giving the team greater confidence as they continue to ship updates and expand the platform.

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Roo also sees Momentic as the missing piece in closing the feedback loop between AI-generated code and AI-generated tests. While AI coding tools like Roo Code already accelerate feature development, teams typically still write or maintain tests manually, a gap that slows iteration.

With Momentic, Roo can now envision a workflow where AI not only builds new features but also produces the corresponding end-to-end tests with minimal human effort. It reflects where the broader discipline of software engineering is heading: a future in which AI empowers engineers to build and test new functionality far more efficiently than before.

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