Nothing works and everyone is euphoric
An opinion piece argues that despite the rapid adoption of AI tools in software development, the overall quality and stability of software are declining. The author suggests that increased complexity and abstraction, rather than a lack of AI, are the primary drivers of modern software fragility.
Why it matters
This critique challenges the prevailing narrative that AI will automatically solve software quality issues, highlighting the systemic challenges of modern development.
As I'm writing this, we're in the middle of an AI-induced mass psychosis. People are literally token-maxxing themselves into hospital beds , scrambling to capture some of that market value before everything is automated away. I can't blame them. Models keep getting better, programmers are being laid off left and right. We've been repeatedly told that AI will write 100% of the code by the end of the year. Whether that's true or not, this may not be the best time to sit back.
The widespread excitement around the Agentic Era comes with the promise of greater productivity and higher quality. There's no denying that these new tools have already revolutionized how we create and use software. They have raised upper management's expectations for team output. They may have upgraded the average skill set of software teams in a way we have not seen before.
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