> We are in fact seeing software improvement, in the form of fewer bugs and better performance.
Anecdotally, completely disagree. Maybe this is nostalgia, but I perceive a distinct and massive drop in software quality over the past few years.
Worst offenders for me are the poster children for LLM-based development. I run into bugs and performance issues with both Claude and Codex literally every day. I don't think I'm an outlier here, either.
There are so many stupid little bugs in software these days that should be straightforward to fix, but just aren't fixed. Visual quirks and rendering issues. Notification bells that don't clear properly. Formatting problems. And vibecoded apps like Claude Code themselves are the biggest perpetrators.
To add some related evidence to that, I browsed this report[1] for other reasons the other day, but it stood out to me that _100%_ of Forbes Global 2000 tech leaders said "their organization has experienced some form of AI-related downtime".
[1] https://itbranschen.com/wp-content/uploads/2026/05/the-hidde...
Dev being reckless with LLMs are going to ship faster than the one using it responsibly to improve quality, so it would make sense to first see a drop in quality before things improve.
AI firm code are likely a different category though.
I can see both:
- more bugs becoming visible that were hidden within the software we use daily
- more bugs (in absolute terms) as more people create more software in a very short amount of time (regardless of their professional training)
- less bugs in existing software as the developers and dev orgs of existing projects is capable of automating bug hunting, test case creation, ... in essence: They get a multiplying effect out of AI regarding their capabilities.
In short: Actual developers with actual experience (the more, the merrier) can do better work while the barrier to enter "the market" for untrained individuals is a lot lower resulting in a huge amount of new software whose "success" is to be determined.