Viewing profile — simba-k

Yes, I think its a good comparison

Currently would have to be done on the SQLAlchemy side, but someone asked to contribute django directly. Let me see if they are still planning to do that and create/link an issue i…

Yeah to restricted read, still a lot of API work to do here and we're a bit blocked by MCP itself changing its auth spec (was just republished yesterday). If you use the lower-leve…

Yeah, think of it as a data analyst. If I give you a Postgres account with all of our tables in it, you wouldn't even know when to start and would spend tons of time just running q…

Yes but the agent reasoning is going to use an LLM, I sometimes run our openai_chat_agent example just to test things out. Try giving it a shot, ask it to do something then ask it …

So one big difference is that we aren't doing text2sql here, and the framework requires clear descriptions on all fields, entities, and relationships (it literally won't run otherw…

Not sure exactly what you mean here. Prisma is an ORM for developers working with databases in TypeScript. EnrichMCP is more like an ORM for AI agents. It’s not focused on replacin…

Imagine you're building a support agent for DoorDash. A user asks, "Why is my order an hour late?" Most teams today would build a RAG system that surfaces a help center article say…

Yep, we can essentially convert from SQLAlchemy into an MCP server. Auth/Security is interesting in MCP. As of yesterday a new spec was released with MCP servers converted to OAuth…

Very! We had quite a few people do this at a hackathon we hosted this past weekend.

I feel like I see a new company doing this every week. I know there is Skyvern and browser-use in particular. Is there something special about this one?

I don't think so, I write about why I think this one warrants it though in the article. Do you disagree with any specific points?

MCP's "security nightmare" and toll poising was all is due to people downloading and `exec`ing random untrusted executables. I mention and link it in the article. Same would be tru…

https://www.featureform.com/post/what-mcp-gets-wrong We just wrote a ton about this, after using it. tl;dr The spec and implementation orients towards stdio. We think this is a mis…

Our also has a local mode, the goal is to solve organisational problems as well such as versioning. It solves the problem of having a Google doc full of SQL snippets that people pa…

Up for a call? Would love to get your Api feedback, email me at simba@featureform.com , I’ll buy you lunch :)

Yes, we essentially have three components: the serving layer, the orchestrator, and the metadata layer. All three of these work across different infrastructure by design. We alread…

Imagine you're Spotify and you have a stream of user-song-timestamp triplets per listen. You'll likely want to transform it into features such as: top genre per user in last 30 day…

The client libraries are all in Python. Much like Tensorflow, even though most of the heavy-lifting is done in a different language, the client feels like native Python. The intern…

A feature is an input to a machine learning model. You can think of a model as a black-box function that takes features and outputs a prediction: prediction = model(features) For e…