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The Engineer in the Machine: Why AI Agents Do Not Replace Developers

The prevailing narrative in boardrooms across the EU is that the cost of software development is about to collapse. The logic seems sound: if a Large Language Model (LLM) can write a function, a class, or an entire module in seconds, the need for a human to type those characters into a text editor disappears. The conclusion drawn is often that the headcount of the engineering team can be reduced proportionally to the speed of the AI. This is a category error. It confuses the act of typing code

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The Hidden Cost of AI Hesitation

A senior associate in a mid-sized legal firm spends six hours on a Friday afternoon reviewing a set of discovery documents. The task is precise: identify every instance where a specific liability clause was modified across forty different versions of a contract. It is tedious, manual work that consumes a significant portion of the billable day. The associate knows that a large language model could perform this extraction in seconds. However, the firm’s policy is absolute: no client data is to

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