Connections you can inspect
Every claim follows a traceable path through your code. An LLM may narrate the evidence in the language of your application. It never replaces the path itself.
[01] About
Make the consequences of a change visible.
Software changes faster than anyone can hold in their head, and AI coding agents are speeding that up. We are building the missing piece: a way to see what a change reaches before it ships.
[02] Mission
Say what a change reaches, and what we could not see.
Teams test what a ticket says a change touches. The code often says more. Graphentra follows the dependency graph from a change to the screens, endpoints and flows that depend on it, so people can decide what to test on evidence.
It is designed to be honest about its limits. Where it cannot follow the code, it says so.
[03] Principles
Three principles we build by.
Control stays with your team
The analysis runs in your own CI, and your team decides what to test. LLM narration is optional, and it never changes the evidence.
Unknown means unknown
Anything Graphentra cannot trace is listed as unknown and stays on the report. It is never quietly counted as safe.
[04] Where we are
Early, and saying so.
Graphentra is pre-launch. A prototype of the analysis engine exists, and the rest of the MVP is in development. This page will grow as the product does.