AI Automation

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AI in CI/CD: The Engineering Layer That Makes ADLC Actually Work

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 […]

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Why Manual Patch Management No Longer Works

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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My Playwright Automation Journey with an AI Partner

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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ManageEngine User Conference Bengaluru – Vision 2026, AI Focus & Leadership Connect

Hi, I’m Karthi, QA Manager, and I recently had the opportunity to attend the ManageEngine User Conference in Bengaluru (Feb 19–20), along with our VP of Sales, Sriram. I went in expecting a typical technology conference — product announcements, feature updates, and technical discussions. I came back with something far more meaningful. Perspective. This wasn’t

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The Rise of Multimodal AI Agents: Smarter Systems or a Bigger Risk?

Artificial intelligence is quietly undergoing one of its most important shifts yet. For years, AI agents were largely confined to text—answering questions, generating content, or automating simple, rule-based tasks. Useful, yes—but limited. That limitation is now disappearing. We’re entering the era of Multimodal AI Agents—systems that can see, hear, read, reason, and act across multiple

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Why Most Agentic AI Projects Fail Before They Even Launch

AI agents are rapidly becoming one of the most talked-about innovations in enterprise technology. From autonomous task execution to end-to-end workflow automation, Agentic AI promises to move beyond chatbots and copilots into systems that actually do work. But here’s the uncomfortable truth: Most Agentic AI projects fail before they even launch. Not because the models

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