SaaS Platform Reduced User-Facing Bugs by 88%
A comprehensive AI-powered quality assurance system that simulates real user journeys and catches bugs before they impact customers—reducing issue identification time from days to hours.
View ResultsThe client's web application experienced functionality breakdowns 1-2 times per month due to undetected bugs in product updates. These issues would silently prevent users from accessing core services, often going unnoticed until customer complaints surfaced. The QA team struggled to keep pace with rapid deployment cycles, and the average time to identify and resolve issues stretched to 2 days—causing significant user frustration and potential revenue loss.
How We Solved It
Darwin AI Lab engineered a sophisticated quality assurance system powered by OpenAI's Computer Use capabilities. The solution simulates common user journeys on the production website, testing critical workflows and detecting any bugs or inconsistencies in real-time. We configured the system to run automated checks every 2 hours, with immediate issue reporting directly to the QA team's Slack channel. The AI agent navigates the application exactly as a user would, catching visual regressions, broken interactions, and functionality issues that traditional automated tests often miss.
Measurable Impact
Within one month of deployment, the number of users affected by production bugs decreased by 88%. The average time to identify and resolve issues dropped from 2 days to just 3 hours, fundamentally transforming the team's ability to maintain product quality at scale.
We used to dread our release days, never knowing what might break. Now our QA runs around the clock, and we catch issues before our users even notice. It's completely changed how confident we feel about shipping new features.
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