narenkmano

Does all your documentation live in figma as well? Or storybook?

Also, what does the evolution process (creating a new component or modifying an existing one) look like?

Thanks! Yeah, it's been a lot of fun hacking around with these models. I just checked out your open-source project; looks super interesting! It has a lot of things I've been wanting to implement. I particularly love the command completion and concept of a repository map.

The approach you've taken is the one I use the most in my workflow nowadays. I manually provide context to GPT4 and ask it to translate/fix issues in my code (at least provide high-level ideas about resolving issues). Pretty cool to see a CLI version of that.

Having the human in the loop has been crucial in practice. Your approach of having the LLM interact with your code base and collaboratively make edits is interesting.

Joining the discord; thanks for the invite!

No, doing everything by hand in the console, which has been super annoying. But don't want to spend time setting up terraform right now.

Congrats on the launch! I've had to deploy python/java services on AWS ECS services (for blue-green deploys) multiple times over the last six months and it's always been a pain to setup it up. Especially in a startup where I want to move as fast as possible it's been a pain to set up manually.

Is that something that is easy to setup with Argonaut?

We are not hiring at the moment. However, feel free to connect with me at [email protected]. I might be able to help with a referral, if you are interested.

Good catch. Fixed!

We did consider the option of building our own servers but getting started with AWS is much easier because we don't have to maintain our own hardware, so we went with that. This allows us to move much faster and deliver features that users want instead of optimizing costs.