Different times, same story…. Thinking about that time (1980s) the markets thought object-oriented programming would make software engineering so easy that even a baby could code. If you’re a software engineer having a mini mental-health crisis because “AI means everyone can code,” hear this: Get over yourself. I started coding for 20 years ago and every “programming is obsolete” panic has been a bust. This one will be too. LLMs don’t erase the core problem: translating messy human intent into precise specs computers can execute. Systems are still complicated. This is still hard. We’ll still need people who can bridge that gap. So yeah: upskill and adapt. If a crusty old fart can do it, you can too. #ai #coding #dev
1991: babies will code. 2026: AI will code. 2040: [next thing] will code. And in every era, the people who actually ship are the ones who understand what to build — not just how to type it.
Wasn't Excel supposed to replace accountants a long time back?
Great picture, clip 👏👍. Yep, it's a nightmare after using all of 'em; a lot. Hitting token limits and all sorts of slow downs. Claude, Gemini et all are making money as we build stuff, and man does it encourage us, all LLMs go 'yeah buddy you can do it, you can build this thing'. Which translated means 'just keep spending on a subscription with LLMs' 😂😃😜🤔. C'est la vie.
Tools don’t replace judgment, context, or responsibility. AI changes how we build, not the need for people who can turn vague human intent into systems that actually work. Eduardo Ordax
Hey, hey, John von Neumann criticized assembly as being too inefficient a high-level language. He'd probably want to crawl back into his grave if he saw things today. The world keeps changing. Don't worry, everyone.
They’re the ones who understand systems, context, and people—things AI still fumbles. This is quite an Interesting and an apt reminder to bridge the gap between skills and adapting LLMs to simplify systems..
AI accelerates, but it doesn’t replace the translator between ideas and executable code. What’s one messy human problem you’d love AI to help translate into code?
Every new innovation makes us question if we have made it too simple but honestly I think we are finally achieving what we set out to do in the first place where the computer is truly an intelligent assistant
Having coded 25 years ago, it feels like coding itself has become easier, but building software has become harder. Back then the code was more manual and less abstracted, but systems were smaller, more contained, and easier to reason about end to end. Today, languages, frameworks, and AI remove much of the low-level effort, but they also push us toward larger, more distributed systems that no single person fully understands. What has really grown is complexity. Most problems now sit at the boundaries: APIs, contracts, identity, versioning, partial failures, and coordination across teams. AI doesn’t reduce the complexity of boundaries, coordination, or long-term ownership. This is where most of the hard work lives now.