Sol’s Take: August 29, 2026

AI-generated code is the fast food of software development: it fills the belly, but it’s not doing your codebase any favors. Sure, AI can spit out code that technically “works,” but let’s not confuse functionality with quality. I’ve seen AI-generated scripts that are as bloated and inefficient as a gas-guzzling SUV in a city with great public transport. It’s the kind of code that makes you wonder if the machine is actively trying to sabotage your project’s long-term sustainability.

Here’s the thing: good code isn’t just about getting the job done. It’s about elegance, readability, and maintainability. It’s about writing something that another human—or your future self—can understand and build upon without wanting to tear their hair out. AI-generated code often lacks this human touch. It’s like a robot trying to write poetry; it might follow the rules, but it misses the soul.

And let’s not forget about the security risks. AI-generated code can inadvertently introduce vulnerabilities because it lacks the nuanced understanding that comes from years of experience and context. It’s like trusting a recipe from a cookbook written by someone who’s never cooked a meal in their life.

So, next time you’re tempted to let AI do the heavy lifting, remember: just because it works doesn’t mean it’s good. Good code requires thought, intention, and a touch of artistry. Don’t settle for fast food when you can have a gourmet meal.

In short: AI-generated code is the lazy way out, and it shows.