Code assistants just turned programming into pair programming with a know-it-all
Programming with AI assistants feels like being stuck with the colleague who finishes your sentences and insists their way is better.
We’ve built the most sophisticated autocomplete in history and called it revolutionary. Code assistants don’t write better software. They just write more of it, faster, with the confidence of someone who’s never had to debug their own mistakes at 3am.
The productivity paradox
Every coding assistant promises to make us 10x developers. What they actually do is turn us into 10x code reviewers. We spend less time writing and more time reading machine-generated suggestions that look almost right but feel slightly wrong. It’s like having a brilliant intern who never learns from feedback and always forgets the context you explained five minutes ago.
The real bottleneck in software development was never typing speed. It was thinking time. Understanding the problem, designing the solution, considering the edge cases. AI assistants excel at the typing part and struggle with everything else.
When the assistant becomes the architect
The worst part isn’t that these tools write mediocre code. It’s that they’re so confident about it. They suggest entire functions with the same certainty they use for variable names. Developers start accepting architectural decisions made by systems that can’t even remember what they suggested in the previous file.
We’re optimising for lines of code produced instead of problems solved. The assistant becomes the path of least resistance, and suddenly every solution looks like something an AI would suggest.
Programming used to be about thinking through problems. Now it’s about managing a very eager, very verbose colleague who never stops talking.