Posts in AI

Category: AI

  • Tech Job Market Misalignment: Have You Noticed?

    , ,

    The tech job market in early 2026 is indeed in a strange, frustrating state of misalignment—companies and reports loudly complain about talent shortages and high demand for skilled workers, yet job seekers (even strong ones with years of experience) report hundreds of applications with few or no callbacks. This isn’t just anecdotal or limited to… Read more

  • It’s Time to Shift Gears: Normalizing Qualitative Job Titles in a Capabilities-First World

    , , ,

    If you’ve been following the whirlwind of the tech industry lately, you know we’re in a wild era. Layoffs, market shifts, and the relentless march of AI are reshaping how we think about work. And amid all this, I’ve been pondering something that’s overdue for a serious conversation: job titles. Specifically, why it’s high time… Read more

  • Battlefield Blueprints: Transforming Tech Teams into Business Warriors

    , , ,

    If you’ve ever stared at a sprawling network diagram or a tangled codebase and thought, “This feels like a war zone,” you’re not alone. In the high-stakes world of technology, where deployments can crash harder than a poorly timed parachute jump, I’ve often wondered: What if we borrowed from actual battlefields to build better teams?… Read more

  • Mastering AI in Your Network: Automation Without the Mayhem

    ,

    Hey there, fellow Internet plumbers. Remember the days when automating your network meant scripting a few lines of code and crossing your fingers that nothing exploded? Well, fast-forward to today, and we’ve got AI and large language models (LLMs) crashing the party like overeager interns with infinite coffee. They’re powerful, sure, but integrating them into Read more

  • Vibe Coding: The Art, the Hype, and the Hard Truths

    , , ,

    Vibe coding is a term that’s been buzzing in tech circles, especially among developers dabbling in generative AI (GenAI) tools like GitHub Copilot, Cursor, or Claude. At its core, vibe coding refers to the practice of writing code in a loose, intuitive, almost improvisational way, often leaning heavily on AI to generate chunks of code… Read more