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AI vs Systems vs Humans | Laurent Bindschaedler

binds.ch · 1,269 words · saved by 1 readers

As we close out 2025, it is clear that building reliable AI systems is fundamentally a systems problem. Context engineering, state management, and failure handling matter as much as the models themselves.

As 2025 draws to a close, I find myself reflecting on a year that has profoundly validated something I have been arguing to my AI colleagues for years (often unsuccessfully, I might add). The lesson is simple: building reliable AI systems is fundamentally a systems problem . The Rise of Context Engineering This year, tools like Claude Code, OpenAI Codex, and various agentic frameworks demonstrated something remarkable. The difference between a demo that wows and a system that works reliably in production is not just about having a better model. It is about context engineering, state management

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