# Beyond Chatbots: Why AIoT Is Where Developers Can Build Real-World Impact

<p>The world of artificial intelligence consists of models, applications, and the cloud. But many AI use cases actually start elsewhere: In the physical world.</p> <p>Machines

<p>A construction project is full of connected things. Equipment, materials, environment, position, and software can all provide valuable insights through their data.</p> <p>The

<h2> From "Prove It in Code" to "Prove It in Judgment" </h2> <p>For decades, credibility in software came from what you built with your own hands. Writing robust systems required

<p><em>This is a submission for the <a href="https://dev.to/challenges/google-gemma-2026-05-06">Gemma 4 Challenge: Write About Gemma 4</a></em></p> <h3> Why I Wrote This </h3>

<h2> Introduction: The Moment Manual Coding Became "Optional" </h2> <p>In January 2026, Boris Cherny, head of Claude Code at Anthropic, made a statement that reverberated across

<!-- SC_OFF --><div class="md"><p>Just went through a Stanford paper that tracked 51 actual AI deployments - not surveys or sentiment polls, real production systems across 41

<!-- SC_OFF --><div class="md"><p>Hey folk, i am currently a student and have been learning Machine Learning and Deep Learning on my own out side of my course and so far I've only

<p>Are AI tools actually making us dumber developers?</p> <p>It's a question that's been nagging at me lately. As a freelance web developer, I've seen firsthand how quickly AI can