rick1290
No user record in our sample, but rick1290 has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
No user record in our sample, but rick1290 has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
Interesting about the files vs db approach. I have been going back and fourth. I landed on db as well.
I'm still not sure. Would love thoguhts on this.. but in this new ai world we are in... is it better to go fullstack typescript? or go with proven mature frameworks? .net, ruby, django, etc? Seems TS is moving fast but…
Is django the best backend batteries included framework at the moment?
is rill open source?
Agreed. When I watch the llm start to explore the db - it really does impress me. Can you expand on this: You can even incrementalize the schema description process itself by way of the system tables. Intentionally not…
Not quite sold on this. I'm going to stick with pydantic ai and dbos/temporal/celery. I do not want to be vendor locked into one of these players. I want to work with absoluately any llm I want... I think we need to…
cool
seems interesting. whos the target demo for this though?
When is MCP the right choice though? For example - letting internal users ask questions on top of datasets? Is it better to just offer the api openapi specs and let claude run wild? or provide an MCP with instructions?
love it
Agreed
So basically dont use django and vibe code your own framework?
Would love to see this. Django just makes life 1000x easier. Can architect an app with data models, api, openapi, etc. within an hour.
I like mikro orm - cool to see you use that. I do prefer django however. I see express as the backend. Why not nestjs? And are you using openapi at all for generating your frontend client? What i've discovered is - any…
whats your defacto now?
looks great
you mention hasura - is that open source? you are leaning on a product for migrations that are not open source is my main concern with the above comments.
Are you saying you'd start a new project with alembic/sqlalchemy nowadays?
What about for the db? Prisma? Postgres?
Are you able to share some of the tech stack choices behind the scenes? React, fastapi, django, go, pydantic ai, ag-ui, firecrawl, vertex ai, etc. Would love to see the tools and frameworks others are deploying with.
awesome!
Which pages are django?
How does this compare to Django? I see you have quite a bit of Django content. How would you decide to use Litestar vs Django on a new greenfield project?
whats your setup for the frontend? do you autogen your queries from DRF? do you prefer react headless over django templates?
Why? Isn't this easier to screw up the prod db?