AI Writes the Code. You Better Know If It’s Wrong. AI has made it easier to write code, but harder to know whether the code is correct. Now, more than ever, you need to develop skills that AI can’t properly replicate: recognizing problem shapes, understanding trade-offs, and predicting failure modes. Here is an article with advice and a list of resources to help you learn these skills.
We Can’t Name Variables. Now We’re Writing Prompts? We used to rely on compilers for clarity. Now we rely on language models that don’t throw errors when we’re imprecise. Programming is becoming less about logic and more about articulation in natural language.
What AI Hype Misses About Real Software Engineering Work AI coding tools are brilliant at creating new code. But most engineers don’t just create new code. They work in legacy systems, where the challenge isn’t writing, it’s understanding. We need more than just generation from AI coding tools. We also need comprehension.
AI-Generated Tests are Lying to You AI-generated tests don’t ensure correctness. They mirror your code’s bugs. See why automating testing without understanding can destroy software quality.