198 karma · joined August 19, 2020
```
./lightpanda-aarch64-macos --host 127.0.0.1 --port 9222
info(websocket): starting blocking worker to listen on 127.0.0.1:9222
info(server): accepting new conn...
info(server): client connected
info(browser): GET https://wikipedia.com/ 200
info(browser): fetch https://wikipedia.com/portal/wikipedia.org/assets/js/index-2...: http.Status.ok
info(browser): eval script portal/wikipedia.org/assets/js/index-24c3e2ca18.js: ReferenceError: location is not defined
info(browser): fetch https://wikipedia.com/portal/wikipedia.org/assets/js/gt-ie9-...: http.Status.ok
error(events): event handler error: error.JSExecCallback
info(events): event handler error try catch: TypeError: Cannot read properties of undefined (reading 'length')
info(server): close cmd, closing conn...
info(server): accepting new conn...
thread 5274880 panic: attempt to use null value
zsh: abort ./lightpanda-aarch64-macos --host 127.0.0.1 --port 9222
```
Most of our platform is centered around "integrations". For example, You'd have a visual block for an S3 integration (that would have been previously configured) that you'd use rather than initializing an S3 client in code for example.
We want to meet people where they're at though. If you want to write code, you can do that but if you want to use a more visual approach, you can do that as well.
Unfortunately we require email to signup but have a free trial. Users are able to test end to end in just a few clicks.
Superblocks, Retool, and Airflow provide different approach to solve similar problems. We've found that lots of customers prefer Superblocks.
I am excited to experiment with in-product guidance and a/b test copy so that we can make things just as intuitive for those who may not be as technical.
There's something about the ability to drag on a try catch, use a native break block in a loop, etc. that feels very "like code".
* Frontend Engineer: Join if you want to solve some of the most advanced problems in UI development. Specifically, free-form canvas, multi-player technology, Replit-style sessions, etc.
* Backend Engineer (AI): Join if you want to push the limits of what is possible with AI today. Specifically, model training, training data pipelines, generative AI product solutions, etc.
* Backend Engineer (Core Execution Engine): Join if you want to work on the engine that runs millions of lines of untrusted code performantly at scale in a cost affective manner.
You can reach out to me here if interested: https://www.linkedin.com/in/frankgrecojr/
> Google Vertex AI Codey APIs are not trained on private non-public GitLab customer or user data.
This is a game changer to the UX
It's not perfect at "zero-shot" answers but from my experience is very good when you work with it conversationally.