The Hidden Risk in AI Code Kevlin Henney's take

Kevlin Henney warns about the dangers of treating AI-generated code as an unquestioned black box.

#KevlinHenney #AI #Programming #CodeQuality #Copilot #ChatGPT #DeveloperLife #BlackBoxCode #TechTalk #softwareengineering Boost your coding skills by joining Scrimba: scrimba.com?via=DevToolsMadeSimple Kevlin Henney warned that using AI tools like GitHub Copilot and ChatGPT to generate code would turn developers into maintainers of unpredictable, low-quality “black box” code. With LLMs, the laziness or inability to write good code turns into the unwillingness to even understand what the generated block of code does. Developers start treating their own codebases like neural networks: if it works, they don’t question it. But black boxes are unpredictable—and when money or lives are on the line, that unpredictability is dangerous. Research shows that reading code is more mentally taxing and less creative than writing it, and developers often prefer writing instead. Where interest and enjoyment are missing, neglect follows—making poor maintainability almost inevitable. Sources: youtu.be/GGVCF3oHnzA?feature=shared linkedin.com/posts/jetbrains_how-much-time-do-developers-spe…