Finally, MCP servers can now deliver UI-rich experiences!
MCP servers in Claude/Cursor don't offer UI any experience yet, like charts. It's just text/JSON.
mcp-ui lets you add interactive web components to its output that can be rendered by the MCP client.
100% open-source!
This is how I design mobile apps for clients:
No Figma
No design team
No wasted weeks
Just UX Pilot, Lovable, Supabase, and Cursor.
I used this exact system to design MoodFlow step by step. Comment “mobile” and follow and I’ll DM you the full video.
Product Manager for Claude Code.
It can turn PRDs into epics, epics into GitHub issues, and issues into production code – with full traceability at every step.
100% Opensource.
this isn’t another ‘AI hype’ book.
it’s a guide for domain experts, engineers, scientists, and problem solvers on how to actually teach machines what you know.
> if you want autonomous AI that works in the real world, start here
Don't go to a coding interview without knowing the difference between:
- Generic Trees
- Binary Trees
- Binary Search Trees
Here is all that you need to know:
[1/3] ↓
🔥 Want to automate chunk context-augmentation? Forget Late Embeddings and Contextual Retrieval - Good news, 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹𝗶𝘇𝗲𝗱 𝗖𝗵𝘂𝗻𝗸 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀 are here!
MongoDB has just announced voyage-context-3: a contextualized chunk embedding model.
Check it out…
AI Agents, the practical guidebook
5 patterns. 5 levels. 12 real projects.
Everything shown step by step👇
What's inside?
1. What is an AI Agent?
2. Agent vs LLM vs RAG
3. LLM (Large Language Model)
4. RAG (Retrieval-Augmented Generation)
5. Building blocks of AI Agents…
DeepMind built a simple RAG technique that:
- reduces hallucinations by 40%
- improves answer relevancy by 50%
Let's understand how to use it in RAG systems (with code):
Fusion of 𝗥𝗔𝗚 (Retrieval Augmented Generation) and 𝗖𝗔𝗚 (Cache Augmented Generation). How can you benefit from it as AI Engineer?
Few months ago there was a lot of hype around a technique called CAG. While it is powerful to its own extent, the real magic happens when you…
🛠️📎 60 Lessons on 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 — In One 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁.
Everything you need before you start 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴: frameworks, issues, fixes, and examples ⬇️
》 What are AI Agents?
✸ Software systems powered by LLMs
✸ Handle tasks with autonomy, decision-making &…
Build a knowledge graph over any legal document 🧑⚖️
This weekend, learn the full stack to ETL your legal contracts into an entity graph that captures intricate relationships between parties/locations/contract terms. The trick: have a full document workflow that can convert docs…
Build a knowledge graph over any legal document 🧑⚖️
This weekend, learn the full stack to ETL your legal contracts into an entity graph that captures intricate relationships between parties/locations/contract terms. The trick: have a full document workflow that can convert docs… https://t.co/P09MjpCArh
Mistral Document AI from @MistralAI is now in Azure AI Foundry.
Extract tables, charts, and multilingual text from scanned docs with structured precision.
Try it now: msft.it/6015srAvF
Kubernetes Challenge: Fix a Pod With a Faulty Init Sequence 🏆
There is a pod in the cluster. A new container was recently added to its spec, and after that, the pod started having startup issues. Can you identify the cause of the pod failure and fix it?
labs.iximiuz.com/challenges/kub…
Quick question :
You build a data pipeline.
A fast "producer" service generates 10,000 events per second and puts them on a queue.
A slower "consumer" service pulls them off to write to a database, but it can only handle 1,000 per second.
At first, it's fine. But the queue…
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