Hopefully, this section looks a lot more crowded in 2026.
x.com/Arindam_172...
Hopefully, this section looks a lot more crowded in 2026.
x.com/Arindam_172...
Kept it simple and short!
Let me know what you think about it!
Kept it simple and short!
Let me know what you think about it!
Learn How to Fine-tune your Open Sorce LLMs and Deploy them on @nebiustf
All under a few minutes!
Full notebook is in the comments 👇
Learn How to Fine-tune your Open Sorce LLMs and Deploy them on @nebiustf
All under a few minutes!
Full notebook is in the comments 👇
But this MCP server makes it… surprisingly easy.
Just plug it into Cursor or Claude Code, ask it to migrate your Next.js app to the latest version, and it actually does the work.
No guesswork. No broken upgrades.
@Vercel really cares about DX.
But this MCP server makes it… surprisingly easy.
Just plug it into Cursor or Claude Code, ask it to migrate your Next.js app to the latest version, and it actually does the work.
No guesswork. No broken upgrades.
@Vercel really cares about DX.
Topic: Understanding Agentic Memory with MongoDB and @memorilab
If you're around, let’s catch up 👋
Topic: Understanding Agentic Memory with MongoDB and @memorilab
If you're around, let’s catch up 👋
Walking through what I’ve been building lately + a small peek at what’s coming next.
Come hang out today at 9 AM PT / 10:30 PM IST.
Link in the comments
Walking through what I’ve been building lately + a small peek at what’s coming next.
Come hang out today at 9 AM PT / 10:30 PM IST.
Link in the comments
You can now build apps by talking to your editor.
Describe the feature → AI writes it → you refine → it ships.
The gap between idea and working code just shrank by 10x.
Less typing. More building.
You can now build apps by talking to your editor.
Describe the feature → AI writes it → you refine → it ships.
The gap between idea and working code just shrank by 10x.
Less typing. More building.
and it has some really cool Features!
and it has some really cool Features!
Super smooth process, way easier than I expected.
Recording a full step-by-step guide next. Stay tuned!
Super smooth process, way easier than I expected.
Recording a full step-by-step guide next. Stay tuned!
We built an AI Agent that:
- Searches arXiv and generates clean research reports
- Saves findings with persistent memory
- Recalls and builds on past sessions
Built with @nebiustf , @memorilab , @tavilyai and @streamlit
Here's the Demo:
We built an AI Agent that:
- Searches arXiv and generates clean research reports
- Saves findings with persistent memory
- Recalls and builds on past sessions
Built with @nebiustf , @memorilab , @tavilyai and @streamlit
Here's the Demo:
@memorilab's Memori uses traditional SQL to power agent memory:
- Short-term convos in temp tables
- Long-term facts promoted to permanent storage
- Rules, preferences, entities stored as structured data
Proven, efficient, and scalable👇
@memorilab's Memori uses traditional SQL to power agent memory:
- Short-term convos in temp tables
- Long-term facts promoted to permanent storage
- Rules, preferences, entities stored as structured data
Proven, efficient, and scalable👇
But writing code is one thing, shipping reliable code is a whole different game 👀
So I recorded a full breakdown of the exact workflow I use to keep AI-generated code production-ready.
Full video here👇
But writing code is one thing, shipping reliable code is a whole different game 👀
So I recorded a full breakdown of the exact workflow I use to keep AI-generated code production-ready.
Full video here👇
Crazy to think, How far we have come!
Crazy to think, How far we have come!
I pushed it on two tasks:
• Fixing API endpoints across a repo
• Building an AI Agent team with @AgnoAgi
The results were… interesting. Some things worked great, some didn’t.
Watch it here👇
youtube.com/watch?v=nIt...
I pushed it on two tasks:
• Fixing API endpoints across a repo
• Building an AI Agent team with @AgnoAgi
The results were… interesting. Some things worked great, some didn’t.
Watch it here👇
youtube.com/watch?v=nIt...
I can instantly check:
- PR summaries
- Sprint reports
- PRs, issues, docs, and recent updates
And you can even chat with it!
All inside Slack. No tab-switching, no context loss.
I can instantly check:
- PR summaries
- Sprint reports
- PRs, issues, docs, and recent updates
And you can even chat with it!
All inside Slack. No tab-switching, no context loss.
With Tool Filtering in the Strands SDK, you can:
- Pick only the tools your agent really needs
- Skip unused ones to keep it fast
- Fine-tune behavior right from the SDK
Example: load just read_documentation, search_documentation, or recommend 👇
With Tool Filtering in the Strands SDK, you can:
- Pick only the tools your agent really needs
- Skip unused ones to keep it fast
- Fine-tune behavior right from the SDK
Example: load just read_documentation, search_documentation, or recommend 👇
Building an AI News Research Assistant with Bright Data + Vercel @aisdk
It scrapes global news, bypasses paywalls, detects bias, and gives smart summaries, all in one workflow.
Think of it as your personal AI journalist, built from scratch.
Read the full breakdown 👇
Building an AI News Research Assistant with Bright Data + Vercel @aisdk
It scrapes global news, bypasses paywalls, detects bias, and gives smart summaries, all in one workflow.
Think of it as your personal AI journalist, built from scratch.
Read the full breakdown 👇
Video coming soon!
Video coming soon!
@memorilab Memori takes a different path:
1. Dual memory (short + long term)
2. Intelligent promotion of what matters
3. Relational DBs for structure, joins, and indexing
Agents that actually remember 👇
@memorilab Memori takes a different path:
1. Dual memory (short + long term)
2. Intelligent promotion of what matters
3. Relational DBs for structure, joins, and indexing
Agents that actually remember 👇