Shout out to the thousands of devs who responded to our Prisma ORM NPS survey—nearly 8,000 submissions so far! 🎉
Your feedback is shaping the future of Prisma ORM. 🙏
If you haven’t shared your thoughts yet, we’d love to hear from you:
pris.ly/orm/survey/... 
Pushing a change that should fix it!
⚡ AI coding assistants like @tabnine can speed up your workflow and take the hassle out of repetitive coding tasks.
We just dropped new docs on using Tabnine with Prisma ORM:
✅ Schema design
✅ Complex queries
✅ CRUD boilerplate
✅ ... and more
pris.ly/ai/tabnine-... For every person who wants to make an app there are 100,000 people who do not want to make an app and ~18 people who don’t want that person to make that app
some pros & cons - bluesky's treatment of archived content is pretty confusing, but also preserving content from twitter so i can delete my tweets is very alluring
if you're reading one of my bluesky posts (bloops) and it seems dated, plz check the archived tag, i've just imported a bunch of tweets and a lot of them are actually from 2017 or 2018 instead of now
I suspect that the 'archived from' feature of bluesky is not visible enough in the main feed. When this was written, it was true! 🤣
Thank you for sharing! ❤️🐢
every day i learn something new and bad about typescript
We are close to launching a private beta for the deeper Git integration features we've been working on. Feel free to sign up on the waitlist and we'll send you an email when it's ready to go!
zed.dev/git?b=41 
P.S. We just published the eight most common AI Agent Architectures that can help you build the most simple and complicated AI agents, WITHOUT using any bogus frameworks. AI primitives for building full-stack AI agents.
Check 'em out here
↳ langbase.com/agents Building a memory agent will be the most impactful thing you'll do this week, give it a try, don't sleep on this — happy to answer any questions y'all have.
👇 Dive deeper into Langbase Memory Agents
langbase.com/docs/memory How to create a Memory Agent?
Reference memory agent architecture
↳ langbase.com/docs/exampl...
Quickstart with API or AI Studio
↳ langbase.com/docs/memory...
(7/7) 
Memory agents are the best way to reduce LLM hallucinations to almost zero. Our frontier research in making RAG easy to build, deploy, and scale has helped both startups and enterprises build phenomenal agents.
(6/7) 
I'm a hundred percent sure — you'll love using Memory Agents by @LangbaseInc, especially how simple it is to use them with our API or AI Studio.
↳ langbase.com/docs/memory
(5/7) 
How do Memory Agents work?
1. Upload your data
2. Ask questions
3. Get relevant chunks
4. Use any LLM with Memory agents
We do it all. We got a vector DB in it 30-50x cheaper than the competition. Managed RAG has never been this easy.
(4/7) 
Memory Agents = LLMs augmented with memory (long-term)
(3/7) 
Memory is the universal constraint of every LLM.
LLMs don't know much about your business or are stuck in the past.
(2/7) 
This is insanely powerful yet supa simple!!
LLMs do NOT have memory. Langbase Memory agents fix that.
You can build, deploy, and scale — millions of memory agents with terabytes of data, and I want to make sure y'all know how they work.
🧵 (1/7) 
I loved this conversation with Seph! He worked on Google Wave over 10 years ago which was a huge inspiration for me. Seph also recently published the eg-walker paper which we also talk about.
Have you heard about our "Swift Stories" newsletter? It’s a bi-weekly collection of ideas, tools, and developer highlights designed to inspire you.
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tuist.dev/newsletter 🚀 We want to make the Prisma CLI even better—and we need your input!
What are some CLI tools you love? What cool CLI features have made your workflow smoother?
Join the discussion and share your thoughts 🙌
github.com/prisma/pris... this is a wild javascript project - it 'flattens' a string's internal representation which can be a decent performance bump, and the code is… github.com/davidmarkcle... 