Built with Open reimplementations
reticle
AI agents can generate code, but still struggle to understand what they build. Reticle brings Jev-style machine-native runtime perception to web & desktop applications.
1.3k ★ on GitHub
What it is
It drives your real running app, reads what actually happened, and hands back pass · fail · couldn't tell with the file:line to fix.
The homepage listed on the repository, app.reticle.sh, puts it like this: Reticle tests your web app the way a QA engineer would, and proves what works with evidence.
Getting started
From the README:
cd path/to/your-app
npx @reticlehq/serverWhere the decision sits
reticle runs its own weights or its own runtime rather than calling a hosted API, so its decisions do not depend on a vendor being up or on a key being funded. The trade is that the model is now yours to keep current.
How active it is
Created 2026-06-11, last pushed 2026-11-02, 1,301 stars and 241 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.