They told you AI would replace developers “in 3 to 6 months,” and a year later… we’re clearly not living in that world. In this video, I break down how the AI hype train started (hello, ChatGPT), why the “ChatGPT wrapper” phase made it feel like AI was everywhere, and how CEOs doubled down with big claims about developers disappearing. But when companies actually tried to replace engineers with AI, the behind-the-scenes reality was messy—LLMs can spit out decent code, but they can’t autonomously own the full workflow: indexing repos, deploying, monitoring, and making real product decisions. I also talk about what’s really happening in the job market: instead of AI replacing developers, developers who use AI are replacing developers who don’t. That’s the middle ground nobody wants to admit because it’s less dramatic. I share the MIT report stats showing most AI implementations aren’t generating meaningful value yet, and why the cost/complexity of “fully autonomous dev bots” is way higher than just letting engineers use AI tools to move faster. My biggest takeaway: learn the tools, but don’t confuse hype demos with production reality. I use AI for basically everything (yes, 99% of my code), and what I’m seeing is a skill shift—vibe coding for MVPs and side projects, and real engineering + review for enterprise-scale work.