All About AI

AI — short for artificial intelligence — is one of the most exciting (and confusing) revolutions of our time. It’s suddenly everywhere: writing emails, chatting with you, creating art, even making business decisions.

What Is Vibe Coding and Why It Matters for Modern Developers

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In today’s fast‑moving software landscape, developers are turning to the vibe coding workflow as a revolutionary way to harness large language models (LLMs) as a programming language. By treating an AI assistant as a co‑author, teams can rapidly prototype, refactor, and debug code while maintaining rigorous quality through tests and version control. This post explores […]

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Why Software Teams Resist AI Coding Tools Despite Executive Enthusiasm

Leave a Comment / AI at Work: Workplace AI Adoption /

Walk into any tech conference or tune into a software company’s earnings call, and you’ll hear the same story repeated with evangelical fervor. CTOs paint vivid pictures of AI-powered development pipelines. Engineering leaders boast about copilots that have “transformed” their coding processes. Startup founders promise that AI will revolutionize everything from code reviews to deployment

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AI in Software Development: Why Waterfall is Making a Comeback in 2025

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The AI Revolution: How Artificial Intelligence is Reshaping Software Development Methodologies The software development world has witnessed a fascinating evolution of methodologies over the past several decades. From the structured, sequential approach of Waterfall to the flexible, iterative nature of Agile, each methodology emerged as a response to the unique challenges and opportunities of its

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Production AI Agents Best Practices: The Rules No One Tells You Until It’s Too Late

1 Comment / AI at Work: Workplace AI Adoption /

The AI Agent Dream vs. Reality If you’ve ever seen a demo of an AI agent, you know the feeling: it’s like magic.You give it a vague task: “Plan me a vacation,” “Fix my website,” “Summarize my inbox”, and poof, it delivers something so eerily correct you start wondering if you still have a job. Fast

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An abstract and surreal digital painting depicts a central, complex AI core appearing to break apart, surrounded by fragmented geometric shapes, erratic light beams, and multiple glowing red warning triangles. The vibrant, chaotic elements and error symbols symbolize a significant system malfunction or problematic output.

When Prompt Engineering Becomes a Liability: The Grok Debacle

Leave a Comment / AI at Work: Workplace AI Adoption /

In July 2025, xAI’s Grok made headlines for hallucinating political events, pushing offensive content, and ultimately getting banned in Turkey. The chaos wasn’t accidental — it was the result of conscious product decisions, including a prompt that explicitly encouraged politically incorrect claims and an auto-RAG pipeline with no filtering. Even more ironic? The community discovered all this

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Jetson Nano Kubernetes Kernel Guide

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Build a Custom Kernel for Modern K8s Support 🚀 Unlock Full Kubernetes Support on Jetson Nano The NVIDIA Jetson Nano is a powerful and compact platform for AI and edge computing, but its default kernel is missing critical features required by modern Kubernetes workloads. If you’ve run into persistent kube-proxy sync errors, broken container networking,

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Mastering the Art of AI Image Prompts: The Definitive Guide

From Words to Art: How to Craft Perfect Text-to-Image Prompts

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🎯 Mastering the Art of AI Image Prompts: The Definitive Guide Text-to-image models are like genies with graphic tablets. But to get that perfect wish granted—be it a neon raccoon in a cyberpunk alley or a Renaissance-style cheeseburger portrait—you need to speak their language: the prompt. This guide is a follow-up to my intro to AI

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Intro to Prompt Engineering: Unlocking the Full Power of LLMs

Intro to Prompt Engineering: Unlocking the Full Power of LLMs

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🧠 The Power of Language Models (and Why Prompts Engineering Matter) Large language models (LLMs) like GPT-4, Claude, and Gemini aren’t magic, but they’re pretty close. They can write essays, debug code, summarize research, translate across languages, and even reason through logic puzzles. But here’s the catch: you only get great results if you know how

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