Re:Don't fall into the anti-AI hype
by Closi on Thursday January 15, 2026 @04:02AM
(#46629976)
In practice, this is managed by:
1) Making the application small enough, and breaking it apart if needed (e.g. I've refactored my old 'big' app into 10 micro-apps).
2) Selecting an architecture that will work, looking after the data modelling and architecture yourself rather than delegating this to the LLM (it can implement it - but you need to design it).
3) Trusting that the LLM is capable enough to implement new requirements or fixes as required.
If requirements change so substantially that it's not possible, you can write new software as requirements change - as per point 1, you will have made your application modular enough that this isn't a significant concern.
1) Making the application small enough, and breaking it apart if needed (e.g. I've refactored my old 'big' app into 10 micro-apps).
2) Selecting an architecture that will work, looking after the data modelling and architecture yourself rather than delegating this to the LLM (it can implement it - but you need to design it).
3) Trusting that the LLM is capable enough to implement new requirements or fixes as required.
If requirements change so substantially that it's not possible, you can write new software as requirements change - as per point 1, you will have made your application modular enough that this isn't a significant concern.