Category: App Development
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Test Suite Optimization: From 44 Minutes to Under 6
Quick Summary A test suite optimization engagement for a SaaS platform’s Playwright regression suite – 44 minutes to under 6 in ten weeks, total tests cut by 50%, flake rate from 14% to 3%. Below: diagnostic, three-layer architecture, AI-assisted flake clustering, and lessons. If your regression suite has crept past forty minutes, engineers have stopped running it…
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Legacy App Modernization: From Technical Debt to 3x ROI
Quick Summary A US-based logistics company engaged ScriptsHub Technologies after losing two enterprise clients to a competitor with a more modern platform. Our team diagnosed a tightly coupled Classic ASP monolith with no API layer, single-tenant architecture, and critical security gaps. We executed a phased strangler fig migration to .NET Core and Angular over four…
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Dashboard Performance: Scaling Angular .NET Core
The Situation: Dashboard Performance Collapse at Peak Load Our team at ScriptsHub Technologies was brought in to troubleshoot a critical dashboard performance failure on a production operations system built on Angular and .NET Core for a manufacturing client. The application performed well during user acceptance testing with around fifty concurrent users on a staging server. Once the…
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Eliminating QA Bottlenecks with AI Test Case Generation
Every sprint, our QA engineers spent the majority of their time not testing – but writing. Writing manual test cases from scratch. Writing automation scripts line by line. When sprint pressure mounted, the writing got faster and the coverage got thinner. AI test case generation changed both – reducing test authoring time by approximately 60%…
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AI Code Governance: Keeping AI Generated Code Maintainable
Three months ago, AI coding tools like GitHub Copilot and Claude helped one of our engineering teams at ScriptsHub Technologies compress delivery timelines by roughly 20% across a distributed system built on ASP.NET Core and React. Sprint velocity improved, pull requests moved faster, and the backlog burn-down looked healthier than it had in months. But…
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Confidently Wrong: AI Debugging Masks Production Root Causes
The Bug Your AI Tool Would Close as Resolved Two weeks ago, one of our developers was using AI Debugging tools while investigating a NullPointerException in a client’s order processing pipeline. The system serves a mid-size e-commerce company – around 2,000 orders per day flowing through a microservices architecture: order intake, inventory check, payment processing,…