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Prilog

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Making software heal itself.

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The “AI accelerates uncertainty reduction but increases system complexity” framing is probably one of the better ways I’ve seen this explained.

What’s missing from a lot of the “AI replaces developers” discussion is that generating code is only a tiny part of operating production software. The hard part starts after deployment: debugging, understanding cascading failures, maintaining consistency, and safely evolving systems over time.

Feels like the next wave of tooling won’t just be “AI that writes code faster”, but AI that helps absorb and reduce operational complexity after the code exists.