Category: Software Engineering
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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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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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Monolith to Microservices: Scaling a Failing Backend
Signs Your Monolithic Architecture Is Failing Under Load Our team at ScriptsHub Technologies was engaged by a mid-market healthcare benefits provider whose core enrollment platform had become a critical business liability. The system – a single monolithic application built eight years prior – handled authentication, enrollment workflows, payment processing, document generation, and reporting within one…
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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 Postman Tests Failed Our Migration (Not the Code)
Every API in the test suite was failing. Not some. Not a few. Every one. Our PHP-to-Python migration – weeks of careful engineering work at ScriptsHub Technologies – suddenly looked like a disaster. The team started reviewing Python code that, as it turned out, had nothing wrong with it. What nobody questioned – not yet…
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Idempotent API Design to Prevent Duplicate Requests
A Three-Layer Defense Architecture for Exactly-Once Processing in Production Dozens of duplicate enrollments per day. Double billing. Inflated class rosters. Financial aid discrepancies. All caused by a single missing API pattern – idempotency. At ScriptsHub Technologies, we resolved this for an EdTech platform processing thousands of concurrent enrollment requests by implementing a three-layer idempotent API architecture using…