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Open Sourcing Our Real-Time PPE Detection Mobile App

ai, AI (Artificial Intelligence), Android app, Artificial Intelligence, Computer vision, deep learning, Kotlin, Machine Learning, Mobile AI, mobile Development, object detection, On-Device AI, Open Source, PPE detection, Spritle Blog, SpritleSoftware, TensorFlow Lite, Workplace Safety, YOLOv8

By Spritle Software Engineering Team Workplace safety isn’t negotiable. But manual safety compliance monitoring is slow, inconsistent, and doesn’t scale. We built a real-time Personal Protective Equipment (PPE) detection app that runs entirely on your smartphone — no cloud, no expensive hardware, no delays. The Problem We’re Solving Every year, thousands of workplace accidents happen […]

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Supply Chain attack: Axios Was Compromised. Here’s Exactly What Happened and What We Did.

ai, AI (Artificial Intelligence), Artificial Intelligence, axios hack 2026, axios security issue, axios vulnerability, CI/CD security, cybersecurity, cybersecurity alert, dependency security, dev security checklist, DevOps & CI/CD, JavaScript / Node.js, javascript security, nodejs vulnerability, npm exploit, npm malware, npm supply chain attack', open source attack, Open Source Security, plain-crypto-js malware, RAT attack npm, software development, Spritle Blog, SpritleSoftware

A supply chain attack quietly installed a remote access trojan on developer machines worldwide. We found it in our stack within hours — here’s our full response, and what you need to do right now. axios@1.14.1 and axios@0.30.4 were published via a hijacked maintainer account on npm They silently install plain-crypto-js@4.2.1, a RAT dropper that

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AI Risk & Compliance in 2026: Why QA Teams Must Lead the Shift

ai, AI (Artificial Intelligence), AI Auditability, AI Compliance 2026, AI Data Privacy, AI Governance, AI Governance & Compliance, AI Quality Assurance, AI Regulations, AI Risk Assessment, AI Risk Management, AI security, AI Testing, Artificial Intelligence, Continuous Compliance, Enterprise Technology, Ethical AI, EU AI Act, QA in AI, Quality Assurance, Responsible AI, Software Testing, Spritle Blog, SpritleSoftware

Artificial Intelligence is no longer a futuristic concept or an experimental capability. In 2026, AI has firmly embedded itself into core business operations—powering decisions in hiring, finance, healthcare, customer experience, and beyond. This shift brings a fundamental change: AI risk is now business risk. For Quality Engineering teams, especially QA leaders, this marks a turning

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IntelliLoad: Building a Smarter AI-Assisted Load Testing Tool

ai, AI (Artificial Intelligence), AI in Software Testing, AI load testing, AI Tools, API Testing, Artificial Intelligence, automation, Devops, IntelliLoad, JMeter alternative, JSON testing, K6 alternative, load testing tools, Performance testing, performsnce testing, Postman integration, QA Automation, QA tools, Software Testing, Spritle Blog, SpritleSoftware

While everyone around me was busy exploring the latest AI tools, I decided to take a slightly different path — exploring AI for load testing. I tried popular tools like K6, TestSprite, and JMeter, learning how they simulate traffic and monitor app performance. But soon I realized: why settle for existing tools when I could

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Why Manual Patch Management No Longer Works

ai, AI (Artificial Intelligence), AI Automation, Artificial Intelligence, automated patch management, Compliance, Cyber Threats, cybersecurity, Devops, DevOps & Automation, endpoint security, GDPR, hipaa, ISO27001, IT automation, IT Infrastructure, IT Security, patch management, soc2, software security, software updates, Spritle Blog, SpritleSoftware, vulnerability management

Cyber threats are evolving faster than ever. Every week, vendors release dozens of security patches to fix vulnerabilities in operating systems, applications, and third-party software. For IT teams managing hundreds or even thousands of devices, keeping track of these updates manually has become almost impossible. Manual patch management, once a practical approach for smaller IT

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AI Won’t Kill Your Business -Bad Governance Will.

agentic ai, ai, AI (Artificial Intelligence), AI & Machine Learning, AI & ML, AI developemnt, AI ethics and governance, AI ethics and governence, AI Governance, AI in Business, AI in Software Development, aisdlc, Artificial Intelligence, governance, hipaa, hipaam, SDLC, soc2, Spritle Blog, spritleoneai, SpritleSoftware

“AI is going to make our teams write code 10x faster?” At this point, every engineering leader has heard it and many are already seeing it happen. But in real conversations, the excitement quickly turns into a different question: Are we actually in control of what we are shipping? Because while AI has dramatically increased

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How Poor ITSM Impacts Employee Experience

ai, AI (Artificial Intelligence), Artificial Intelligence, change-management, Digital Employee Experience, digital transformation, Digital Workplace, Employee Experience, Enterprise Technology, Incident Management, IT automation, IT Governance, IT Operations, IT Operations Management, IT Productivity, IT Service Management (ITSM), IT Support Challenges, ITSM, Poor IT Service Management, Service Level Agreements (SLA), Spritle Blog, SpritleSoftware, Workplace Technology

In today’s digital workplace, technology is the backbone of productivity. Employees rely on IT systems for communication, collaboration, data access, and task management. This makes IT Service Management (ITSM) a critical function within every organization. ITSM refers to the structured processes and tools used to design, deliver, manage, and improve IT services. When ITSM operates

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From Physical AI to AI-Augmented QA: The Next Evolution of Testing

ai, AI (Artificial Intelligence), AI & QA Innovation, AI in QA, AI Software Testing, AI Testing, AI-Augmented QA, Artificial Intelligence, automation testing, digital transformation, Future of QA, Intelligent Testing, physical ai, QA, QA Automation, Quality Assurance, Quality Engineering, Software Testing, Spritle Blog, SpritleSoftware, Technology Trends, Test Automation

Many of you may already be familiar with Physical AI — the evolution of artificial intelligence from purely digital intelligence to systems that understand and interact with the real world. Physical AI enables machines to: Understand physical environments Adapt to real-world conditions Make autonomous decisions Execute actions in dynamic systems This shift — from information

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My Playwright Automation Journey with an AI Partner

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If you’ve spent more than five minutes on LinkedIn recently, you’ve probably seen the panic. Everyone is talking about how AI is going to take over software testing and replace us all. Let’s just pause for a second. Whenever I see those posts, this is the console output running in my head: console.log(“Deep breaths. The

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How Manus AI Became Part of My Appium Automation

ai, AI (Artificial Intelligence), AI for Developers, AI in Software Testing, AI in Testing, Appium Automation, Appium Java, Artificial Intelligence, Automation Testing Tools, Developer Experience, Manus AI, mobile automation, Mobile Automation Testing, Mobile Test Automation, QA, QA Automation, Selenium to Appium, Spritle Blog, SpritleSoftware, Test Automation

If you’ve ever watched your Appium test fail for three hours because of a dependency conflict you didn’t even know existed — this blog is for you. Mobile automation is not a simple extension of web automation. The tools are different. The setup is layered. The learning curve is real — especially when you’re expected

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