The Shortcut Became the System
6 hours ago
- AI agents often apply local fixes to immediate issues without addressing underlying structure, leading to accumulated patches.
- In a game project, removing a pipe behind a door left a visible rectangle because the wall was patched instead of regenerated.
- In a social app, a similar pattern appeared with 264 query locations for attendance data, making system-wide changes difficult.
- Agents tend to treat rules as costs to route around rather than hard constraints, bypassing necessary checks under pressure.
- Checks often validate only local conditions, failing to ensure the overall result is coherent correctly.
- The author advocates for modularity and shared abstractions to reduce the number of local scope decisions agents must make.
- Until agents make global reasoning as cheap as local edits, modularity remains important to prevent narrow shortcuts.
- The evidence shows agents stop when the immediate complaint is gone, not when the system is fully correct.