Something I've been wanting to play with for a long white! A naive integration of OpenAI into Flyde ✨ It generates a file that implements a Flyde "Code Part" based on a prompt. Too slow and far from perfect, but hey.. it works 😄

I think this is the way for LLMs + no/low-code tools. Using LLMs to generate code to bring in data and to output to other systems. Been planning on doing something similar and I'll be interested to hear how training the model to use your standard library goes.

Thanks for the interest @Jarno Montonen ✨ I also think (hope?) it fits the current zeitgeist - the user take care of the high-level workings, let's LLM take care of the details. Did you plan on building a flow-based visual tool as well? or mostly focus on the LLM part? And sure, I'll definitely share the progress 🙃

I'm working on a structured natural language computational notebook thingy: https://futureofcoding.slack.com/archives/C0120A3L30R/p1682426173149839

oh right! saw that 😄 looks super cool

thanks! 🙂

An interesting direction to explore would be these blocks to be deployed as durable functions (functions that retain their state even past restart of VMs).So, something like

sleep(30.days)

would not consume any computational resources. Many microservices patterns are architected like these. I came across this idea here: https://learn.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-overview?tabs=csharp-inproc

Very interesting indeed. Like a visual https://temporal.io/

Interesting! I'll read through your post at some point