Evidence-backed
LOTL should show where a claim came from, not just draw a convincing shape around a codebase.
Code analysis for fast-changing projects
LOTL is being built for the point where ordinary code reading stops keeping up with the speed of change.
The project aims to maintain a structured, continuously updated model of a codebase so an operator can inspect architecture, relationships, evidence, and flow without rebuilding the whole mental map by hand every time.
It is not a generic graph viewer or a promise that an AI understands your code. The goal is to put the programmer back in the driver’s seat by truly amplifying your skills instead of trying to surpass them.
LOTL
LOTL should show where a claim came from, not just draw a convincing shape around a codebase.
The interface is aimed at developers who expect density, precision, and repeatable answers.
Maps, tables, flow views, and summaries are different lenses over a typed analytical substrate.
Early project site
The early product work is focused on summary-based exploration: meaningful project chunks, nested expansion, aggregate relationships, and inspectable evidence.
Join the beta waitlist
Share the basics that help decide who should be invited into early LOTL builds first.
Early project site
LOTL is currently an independent project. Ko-fi support will go directly toward the time spent designing, building, and testing it.