AI coding assistants generate generic code by default because they lack project-specific context. Knowledge Priming addresses this by treating project context as versioned infrastructure—structured documents stored in the repo that prime the AI before each session. This is essentially manual RAG: filling the context window with
Table of contents
The Default Behavior ProblemWhat Knowledge Priming Looks LikeAnatomy of a Priming DocumentPriming as Infrastructure, Not HabitCommon PitfallsKeeping Priming Documents CurrentA Real-World ExampleTrade-offs and LimitationsConclusionSort: