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
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 a rigorous technical environment: deterministic analysis, inspectable facts, and visual projections that stay honest about what the system actually knows.
LOTL
Built as an analysis instrument
Operator-first
The interface is aimed at developers who expect density, precision, and repeatable answers.
Projection-aware
Maps, tables, flow views, and summaries are different lenses over a typed analytical substrate.
Early project site
Current direction
The early product work is focused on summary-based exploration: meaningful project chunks, nested expansion, aggregate relationships, and inspectable evidence.
Waitlist not connected yet
Beta waitlist
The waitlist form is ready structurally, but it is not connected to a mailing-list provider yet.
Signup submission is currently disabled. The provider will be connected before public launch.
Early project site
Support development
LOTL is currently an independent project. Ko-fi support will go directly toward the time spent designing, building, and testing it.