• AI Hype vs. Reality: How to Use LLMs Effectively Without Getting Burned

    Introduction Artificial intelligence (AI) dominates headlines. Silicon Valley calls it the next big revolution. Investors pour billions into chatbots and “magic” AI demos. Yet many projects collapse before they deliver real business value. This blog cuts through the hype. It explains the AI hype cycle, the limits of large language models (LLMs), and how to…

  • Harnessing AI in Coding: Why Human Oversight Still Matters

    Introduction Artificial intelligence (AI) is transforming software development. Tools can now generate code, create test cases, and suggest optimizations in seconds. Companies see this as a way to cut costs and speed up delivery. But successful AI coding implementations still depend on experienced developers. Without human oversight, even the most advanced AI can produce flawed…

  • The Dirty Truth About AI-Generated Code: Why Hype Can’t Replace Real Software Engineering

    Introduction Artificial Intelligence (AI) is everywhere. Executives promise it will change software development forever. Investors pour millions into AI-powered coding tools. Startups pitch that one developer with ChatGPT can do the work of ten engineers. The dream sounds irresistible. But the reality is messy. I see it first-hand. Companies call me when their AI-generated code…