Arindam Majumder
@arindam-1729.bsky.social
Developer Advocate and Technical Writer (500k+ Views) | Building Studio1Hq.com
Just deployed my first fine-tuned model on @nebiustf 👀
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!
December 1, 2025 at 3:28 PM
Just deployed my first fine-tuned model on @nebiustf 👀
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!
Introducing arXiv Researcher Agent!🕵🏻♂️
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:
November 25, 2025 at 3:57 PM
Introducing arXiv Researcher Agent!🕵🏻♂️
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:
AI memory doesn’t need exotic databases
@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👇
November 25, 2025 at 12:32 PM
AI memory doesn’t need exotic databases
@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👇
I’ve been building a lot with Claude Code lately…
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👇
November 24, 2025 at 12:28 PM
I’ve been building a lot with Claude Code lately…
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👇
Gemini created it in one Prompt!
Crazy to think, How far we have come!
Crazy to think, How far we have come!
November 23, 2025 at 5:05 PM
Gemini created it in one Prompt!
Crazy to think, How far we have come!
Crazy to think, How far we have come!
Trying our Google's Antigravity with Gemini 3 Pro!
November 18, 2025 at 5:42 PM
Trying our Google's Antigravity with Gemini 3 Pro!
Just tried Anthropic’s @claudeai Code Web 👀
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...
November 18, 2025 at 3:29 PM
Just tried Anthropic’s @claudeai Code Web 👀
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...
Recently started exploring @EntelligenceAI, and wow, this feature is so underrated 👀
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.
November 17, 2025 at 1:32 PM
Recently started exploring @EntelligenceAI, and wow, this feature is so underrated 👀
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.
Give your AWS Strands agents more focus!
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 👇
November 15, 2025 at 12:30 PM
Give your AWS Strands agents more focus!
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 👇
Just dropped a new guide!
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 👇
November 14, 2025 at 12:32 PM
Just dropped a new guide!
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 👇
November 12, 2025 at 4:28 PM
Currently Trying out Claude Code Web!
Video coming soon!
Video coming soon!
November 12, 2025 at 2:32 PM
Currently Trying out Claude Code Web!
Video coming soon!
Video coming soon!
Most agent frameworks stuff prompts or juggle vector stores.
@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 👇
November 12, 2025 at 12:29 PM
Most agent frameworks stuff prompts or juggle vector stores.
@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 👇
Ready to play with @windsurf 's Aether Alpha, Beta, and Gamma!
November 12, 2025 at 9:59 AM
Ready to play with @windsurf 's Aether Alpha, Beta, and Gamma!
Started Fine-tuning Models on @nebiustf!
Will share a Detailed Guide Soon!
Will share a Detailed Guide Soon!
November 11, 2025 at 12:30 PM
Started Fine-tuning Models on @nebiustf!
Will share a Detailed Guide Soon!
Will share a Detailed Guide Soon!
Make your AWS Strands agents return clean, structured results 🧠
With Structured Output, you can:
- Get well-defined responses for any task
- Use invoke_async for async execution
- Simplify downstream parsing and logic
Here's an Example👇
With Structured Output, you can:
- Get well-defined responses for any task
- Use invoke_async for async execution
- Simplify downstream parsing and logic
Here's an Example👇
November 10, 2025 at 12:28 PM
Make your AWS Strands agents return clean, structured results 🧠
With Structured Output, you can:
- Get well-defined responses for any task
- Use invoke_async for async execution
- Simplify downstream parsing and logic
Here's an Example👇
With Structured Output, you can:
- Get well-defined responses for any task
- Use invoke_async for async execution
- Simplify downstream parsing and logic
Here's an Example👇
Just realized I’ve uploaded 50 videos on my YouTube channel!
Not a huge number, and honestly, I haven’t been that consistent 😅
But the support from the community has been amazing!
Time to change gears and stay consistent from here on. Stay tuned!
Not a huge number, and honestly, I haven’t been that consistent 😅
But the support from the community has been amazing!
Time to change gears and stay consistent from here on. Stay tuned!
November 9, 2025 at 5:34 AM
Just realized I’ve uploaded 50 videos on my YouTube channel!
Not a huge number, and honestly, I haven’t been that consistent 😅
But the support from the community has been amazing!
Time to change gears and stay consistent from here on. Stay tuned!
Not a huge number, and honestly, I haven’t been that consistent 😅
But the support from the community has been amazing!
Time to change gears and stay consistent from here on. Stay tuned!
I recently tested @cursor_ai ’s new Composer-1 and @windsurf ’s SWE-1.5!
I ran both on real projects:
- A Monkeytype-style Typing Game
- A 3D Solar System using Three.js
The results were... surprising 👀
Full breakdown + live test in my new video 🎥👇
www.youtube.com/watch?v=aFQ...
I ran both on real projects:
- A Monkeytype-style Typing Game
- A 3D Solar System using Three.js
The results were... surprising 👀
Full breakdown + live test in my new video 🎥👇
www.youtube.com/watch?v=aFQ...
I Tested Cursor Composer-1 vs Windsurf SWE-1.5 ( Detailed Comparison )
I tested Cursor’s new Composer-1 and Windsurf’s SWE-1.5, and it was a wild week for AI coding. Here’s what happened when I tested them side-by-side on real c...
www.youtube.com
November 7, 2025 at 3:39 PM
I recently tested @cursor_ai ’s new Composer-1 and @windsurf ’s SWE-1.5!
I ran both on real projects:
- A Monkeytype-style Typing Game
- A 3D Solar System using Three.js
The results were... surprising 👀
Full breakdown + live test in my new video 🎥👇
www.youtube.com/watch?v=aFQ...
I ran both on real projects:
- A Monkeytype-style Typing Game
- A 3D Solar System using Three.js
The results were... surprising 👀
Full breakdown + live test in my new video 🎥👇
www.youtube.com/watch?v=aFQ...
Give your AWS Strands agents clean, conflict-free tools!
With Tool Name Prefixing, you can:
- Avoid name clashes across multiple MCP servers
- Keep tool namespaces organized
- Run complex setups without confusion
Example: prefix tools from each server to stay conflict-free 👇
With Tool Name Prefixing, you can:
- Avoid name clashes across multiple MCP servers
- Keep tool namespaces organized
- Run complex setups without confusion
Example: prefix tools from each server to stay conflict-free 👇
November 7, 2025 at 12:30 PM
Give your AWS Strands agents clean, conflict-free tools!
With Tool Name Prefixing, you can:
- Avoid name clashes across multiple MCP servers
- Keep tool namespaces organized
- Run complex setups without confusion
Example: prefix tools from each server to stay conflict-free 👇
With Tool Name Prefixing, you can:
- Avoid name clashes across multiple MCP servers
- Keep tool namespaces organized
- Run complex setups without confusion
Example: prefix tools from each server to stay conflict-free 👇
Tool calling is the foundation of AI agents!
→ The LLM reads your prompt
→ picks the right tool
→ formats the request
→ gets results
→ decides the next step.
That’s how it thinks and acts autonomously.
Now imagine multiple LLMs doing this together, that’s a multi-agent system!
→ The LLM reads your prompt
→ picks the right tool
→ formats the request
→ gets results
→ decides the next step.
That’s how it thinks and acts autonomously.
Now imagine multiple LLMs doing this together, that’s a multi-agent system!
November 5, 2025 at 12:28 PM
Tool calling is the foundation of AI agents!
→ The LLM reads your prompt
→ picks the right tool
→ formats the request
→ gets results
→ decides the next step.
That’s how it thinks and acts autonomously.
Now imagine multiple LLMs doing this together, that’s a multi-agent system!
→ The LLM reads your prompt
→ picks the right tool
→ formats the request
→ gets results
→ decides the next step.
That’s how it thinks and acts autonomously.
Now imagine multiple LLMs doing this together, that’s a multi-agent system!
AWS's Strands Agents SDK is a simple, straightforward way to build agents.
15 lines to define an agent with access to an MCP server.
I found it fun to work with and appreciated how simple it was to define functions.
15 lines to define an agent with access to an MCP server.
I found it fun to work with and appreciated how simple it was to define functions.
November 4, 2025 at 12:26 PM
AWS's Strands Agents SDK is a simple, straightforward way to build agents.
15 lines to define an agent with access to an MCP server.
I found it fun to work with and appreciated how simple it was to define functions.
15 lines to define an agent with access to an MCP server.
I found it fun to work with and appreciated how simple it was to define functions.
200+ pages of pure gold from @huggingface 🤯
They just dropped a full playbook on how to train an LLM, covering pre-training, post-training, infra, and everything in between.
What worked, what didn’t, and how to make it run reliably.
Link to the Paper: huggingface.co/spaces/Hugg...
They just dropped a full playbook on how to train an LLM, covering pre-training, post-training, infra, and everything in between.
What worked, what didn’t, and how to make it run reliably.
Link to the Paper: huggingface.co/spaces/Hugg...
November 1, 2025 at 2:24 PM
200+ pages of pure gold from @huggingface 🤯
They just dropped a full playbook on how to train an LLM, covering pre-training, post-training, infra, and everything in between.
What worked, what didn’t, and how to make it run reliably.
Link to the Paper: huggingface.co/spaces/Hugg...
They just dropped a full playbook on how to train an LLM, covering pre-training, post-training, infra, and everything in between.
What worked, what didn’t, and how to make it run reliably.
Link to the Paper: huggingface.co/spaces/Hugg...
AI-generated content has officially surpassed human-created content for the first time. 🤯
Honestly… this was bound to happen.
Every time I open Medium or Dev. to, it’s 90% AI slop. Same titles, same tone, same “Top 10 Tools” posts on repeat.
Honestly… this was bound to happen.
Every time I open Medium or Dev. to, it’s 90% AI slop. Same titles, same tone, same “Top 10 Tools” posts on repeat.
October 31, 2025 at 12:39 PM
AI-generated content has officially surpassed human-created content for the first time. 🤯
Honestly… this was bound to happen.
Every time I open Medium or Dev. to, it’s 90% AI slop. Same titles, same tone, same “Top 10 Tools” posts on repeat.
Honestly… this was bound to happen.
Every time I open Medium or Dev. to, it’s 90% AI slop. Same titles, same tone, same “Top 10 Tools” posts on repeat.
I built my own AI Digital Twin using @HeyGen_Official’s new Avatar IV, and it looks insanely real 👀
From just one video, it generated a lifelike talking avatar with real expressions, gestures, and perfect lip sync.
Honestly, it feels like the future of AI video creation.
Link in comments below:
From just one video, it generated a lifelike talking avatar with real expressions, gestures, and perfect lip sync.
Honestly, it feels like the future of AI video creation.
Link in comments below:
October 30, 2025 at 2:30 PM
I built my own AI Digital Twin using @HeyGen_Official’s new Avatar IV, and it looks insanely real 👀
From just one video, it generated a lifelike talking avatar with real expressions, gestures, and perfect lip sync.
Honestly, it feels like the future of AI video creation.
Link in comments below:
From just one video, it generated a lifelike talking avatar with real expressions, gestures, and perfect lip sync.
Honestly, it feels like the future of AI video creation.
Link in comments below:
I just built my own OCR app using NVIDIA-Nemotron-Nano-12B-v2
Upload an image or PDF and instantly convert it into structured markdown using LLMs!
Here’s the stack I used:
- Nemotron-Nano-V2-12b on @nebiusaistudio
- @streamlit for the UI
Try it now 👇
x.com/Arindam_172...
Upload an image or PDF and instantly convert it into structured markdown using LLMs!
Here’s the stack I used:
- Nemotron-Nano-V2-12b on @nebiusaistudio
- @streamlit for the UI
Try it now 👇
x.com/Arindam_172...
October 30, 2025 at 12:33 PM
I just built my own OCR app using NVIDIA-Nemotron-Nano-12B-v2
Upload an image or PDF and instantly convert it into structured markdown using LLMs!
Here’s the stack I used:
- Nemotron-Nano-V2-12b on @nebiusaistudio
- @streamlit for the UI
Try it now 👇
x.com/Arindam_172...
Upload an image or PDF and instantly convert it into structured markdown using LLMs!
Here’s the stack I used:
- Nemotron-Nano-V2-12b on @nebiusaistudio
- @streamlit for the UI
Try it now 👇
x.com/Arindam_172...