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Downtime should be predictable by now. With advanced monitoring systems, cloud infrastructure and AI-driven analytics, IT teams are better equipped than ever. Yet outages still happen without warning and when they do, they disrupt operations, damage customer trust, and cost real money. So what’s going wrong? The truth is, downtime isn’t usually caused by a […]
Why Downtime Is Still a Surprise for IT Teams Read More »
Introduction Most organizations experimenting with AI in software development hit the same wall: promising prototypes, but no consistent impact in production. The reason isn’t lack of models—it’s lack of integration. Without embedding AI into delivery pipelines, insights stay isolated and never influence real releases. CI/CD is where software becomes real. And if AI isn’t wired
AI in CI/CD: The Engineering Layer That Makes ADLC Actually Work Read More »
A few weeks ago, I started exploring how AI could support backend automation testing using Antigravity. My goal was simple—reduce the effort involved in writing, maintaining, and scaling API tests while improving overall efficiency. I began by experimenting with backend test execution using REST Assured, with Antigravity assisting me in generating and structuring test logic.
From Exploration to Application: My Journey Building an AI-Assisted API Testing Tool Read More »
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
Why Manual Patch Management No Longer Works Read More »
