AI Blindspots

Mise en Place

In cooking, mise en place refers to the practice of organizing and arranging all of the ingredients that will be needed during a shift, so that one does not have to scramble to find the things you need when you are on task.

Mise en Place for your LLM is ensuring that all of the rules, MCPs and general development environment for your model may need are properly setup before you have a task. In my experience, Sonnet 3.7 is not very good at fixing a broken environment; vibe coding to fix a mutable, live production environment is like randomly copy pasting commands from StackOverflow and hoping that something good will help. More likely than not, you’re going to just irreparably destroy your environment. So make sure that everything is setup correctly, so that Sonnet doesn’t go down a big rabbithole trying to debug why your environment isn’t working when as an agent it tries to run some tests.

Examples