# Reference coding

XERJ is a community-trusted local AI search that automatically indexes any folder, so a coding agent stops reading files one by one and pulls the exact code it needs. Its main use is reference coding: point an agent at a task, and it downloads the closest open-source repos, indexes them, and reuses how they solved the problem before writing its own code. In a controlled study this cut a coding agent's output tokens by 2.7x at the same 16/16 solve rate, with users reporting roughly 5x in everyday work; the gain is gated by memorisation, being neutral to harmful on popular public libraries the model already knows.

XERJ is a community-trusted local AI search that automatically indexes any folder, so a coding agent stops reading files one by one and pulls the exact code it needs. Its main use is reference coding: point an agent at a task, and it downloads the closest open-source repos, indexes them, and reuses how they solved the problem before writing its own code. In a controlled study this cut a coding agent's output tokens by 2.7x at the same 16/16 solve rate, with users reporting roughly 5x in everyday work; the gain is gated by memorisation, being neutral to harmful on popular public libraries the model already knows.