155 karma · joined September 24, 2012
[ my public key: https://keybase.io/zackproser; my proof: https://keybase.io/zackproser/sigs/-zBvRhtaHLX3R1yj4ik_C9PK3enCFj62-K5cxDGCIEc ]
I feel it will get there in short order..but for the time being I feel that we'll be doing some combination of scattershot smaller & maintenance tasks across Codex while continuing to build and do serious refactoring in an IDE...
I tend to exhaustively detail what I want, including package names and versions because I've been to that movie before...
Did this recently.
Very nice
I did a full tutorial with source code that's linked at the top of that page ^
Fwiw I think it's a good idea to build with and without Langchain for deeper understanding.
This was the write up I did last year
I also wouldn't mind eventually making some money off delivering reliable value to others.
I like being able to store my tapes in a repo and edit them:
https://github.com/zackproser/vhs-scratch
And as the official VHS docs show you can do even more interesting things with CI/CD
It was my first time working with Pulumi and despite not being sure yet how I truly feel about TypeScript - it was a pleasant experience to be able to use programming constructs I'm already familiar with.
I think that's the real leg up that Pulumi has on Terraform.
With HCL / Terraform - you're supposed to be dealing with configuration, but - we also need loops and maps - so we sort of get a mix between a configuration language and a programming language.
As soon as you need to do something even moderately complex you're in a world of pain (automatically deploying and validating Route 53 records via DNS in AWS, I'm looking at you...).
The images were generated via DALL-E - so they're not technically "autogenerated". They were created using a generative model, however.
The content itself definitely was not generated by an LLM - although that feels like a low-effort comment =/ What in particular felt LLM-generated to you?
I think this is on the main page because being able to set 3 environment variables and run `pulumi up` to get to a production-ready system in your own AWS account, without having to purchase anything, is a massive time-saver for anyone with a high-scale use cases that wants to use Pinecone's vector database.
We are finding that JavaScript is an often overlooked language for working in AI:
https://www.pinecone.io/learn/javascript-ai/
There's also a very nice synergy between using a language like JavaScript (many are familiar enough to read through and understand what's happening) and the type safety that TypeScript introduces.
We are seeing a lot of interest in working with Typescript hence why many of our examples are TypeScript applications.
As a professional dev, I enjoy articles with eye candy and AI-generated images, especially those with a pixel-art bent make me happy.