AI Didn't Create These Problems. It Just Stopped Routing Around Them
The article discusses the challenges and lessons learned from integrating AI into work processes. It emphasizes that many issues AI encounters are not new but rather reflect existing gaps in documentation and system design. The author argues that AI serves as a powerful tool for identifying these weaknesses, prompting a reevaluation of how systems are built and maintained.
- ▪AI has highlighted the importance of testing, documentation, and clear ownership in software development.
- ▪Many problems that arise with AI are due to existing gaps in systems that experienced humans have learned to navigate.
- ▪AI acts as a chaos engineer, revealing vulnerabilities in code and system design that were previously overlooked.
Opening excerpt (first ~120 words) tap to expand
Home / Writing / Post ai May 27, 2026 AI Didn't Create These Problems. It Just Stopped Routing Around Them. I’ve spent the better part of the last few years using AI heavily at work, and there’s one very interesting thing that I have observed in all of this time: Every single guardrail I’ve had to put in front of AI to keep it on track, make it more productive, more predictable, and less risky? They’re all things we should have been doing all along. Testing, documentation, clear ownership, up to date documentation, deterministic validations? None of them are new, none of them are particularly controversial, and yet the moment that you let AI take the wheel you find out exactly how much of it was missing.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at baweaver.