How Stari Cut Developer Toil and Reduced Bugs With Queue

The mismatch between roadmap and capacity

Stari builds data enrichment and routing tools for revenue operations teams — powerful technology that sits at the intersection of CRM hygiene, lead scoring, and pipeline visibility. Their product is genuinely best-in-class. Their engineering team is not the bottleneck on ideas — it’s on execution. A backlog of technical debt, patchy test coverage, and documentation that hadn’t kept pace with two years of rapid feature development meant that every sprint began with inherited problems. Engineers were skilled and motivated. They were also perpetually behind.

Deploying agents on the debt

The team used Queue to run a dedicated agent sprint against their technical debt backlog — test coverage gaps, undocumented modules, and flagged refactoring items that had been deprioritized for six months. Agents worked through the backlog in parallel while the engineering team continued shipping features. Within six weeks, test coverage had improved from 47% to 84%. Documentation gaps were closed. The list of known refactoring items shrank to near zero. Engineers stopped dreading sprint planning and started arriving with clear heads.

Quality as a velocity lever

Within two months, 30-day production bug rates dropped 28%. Sprint completion rates rose 19% as engineers spent less time investigating regressions and more time shipping new work. The team now runs Queue agents as a standard part of every feature branch — not as a separate initiative, but as part of how they build. Test coverage and documentation come with the feature, not after it. The result is a codebase that improves incrementally with every release rather than degrading under the weight of accumulated shortcuts.

"We thought our capacity problem was a hiring problem. It wasn't. Queue took ownership of the work that nobody wanted to prioritize but everyone knew was important. That gave our engineers more time to focus on product development without sacrificing quality."

Michael Ross

CTO, Stari

Continuous quality as a default

One of the counterintuitive outcomes of adopting Queue was that it changed how Stari’s engineers think about their own standards. When test writing and documentation are manual tasks, they get cut under pressure. When agents handle them automatically, the quality bar becomes a default rather than an aspiration. Engineers stopped negotiating with themselves about whether to write tests. The tests just existed. The documentation just existed. The codebase became something the team was proud of rather than something they apologized for in onboarding calls.

The insight that changed everything

The most important realization for the Stari team wasn’t about any specific Queue feature — it was about how they’d been thinking about engineering capacity. Velocity problems are almost always treated as hiring problems. Rarely are they treated as automation problems. But the majority of what slows engineering teams down isn’t hard work — it’s necessary but non-novel work. Test coverage. Documentation. Refactoring. Dependency hygiene. Queue handles all of it. Hiring doesn’t. The team now asks ‘can Queue do this?’ before asking ‘do we need to hire for this?’ The answer is yes more often than anyone expected.