We think apps should fix their own bugs.
TestFlight feedback comes in. An agent reproduces it, files the issue, writes the fix and runs it on a simulator before opening the PR.
Our Cloud Simulators service is in preview. Here's the waitlist if you want to try it:
People are tired of AI talk for a reason. A lot of it stays vague, repetitive, and detached from the work.
Weβre giving our livestreams a sharper format to do something more useful with the topic: look at AI from a developerβs point of view, stay close to real workflows, and
A @flueai agent that QA-tests an Expo app on every pull request.
Runs in gh actions, drives an iOS simulator with @callstackio's Agent Device, and infers what to test from the PR description.
Running a DINOv2 ML model at 448x336 to calculate a depth map from a normal USB Camera stream in realtime using JS (kinda)! π¦Έπ»ββοΈ
This is rendered using πππππ-ππππππ-π πππππ and πππππ-ππππππ-ππππππ-ππππππ.
Apex pricing: $0.50/M input, $3/M output.
I want Apex to be a model people can use heavily, especially with agents and CI. This is where we landed after months of training and serving work.
Paid access is opening soon. Meanwhile, you can try the free version during beta!
