Arindam Majumder π
@Arindam_1729
Simplifying LLMs, RAG & AI Agent Workflows β’ 700k+ Reads β’ Weekly YouTube Tutorials & Blogs β’ Building @Studio1Hq β’ Let's Collaborate β http://dm.new/arindam
Learn How to Build an Agentic Deep Researcher Under 10 minutes!
Run LLMs locally. No cloud. No hassle. Docker Model Runner makes it easy to spin up AI models 100% on your machine. - Works right inside your existing Docker flow. - Fast setup. - Great for local dev & testing. Full tutorial π
This GitHub repo has 30+ tutorials to help you build real AI Agents! I update Awesome AI Apps every week with fresh examples. It has: - Starter agent templates - Complex agentic workflows - MCP-powered agents - RAG demos - Multiple agentic frameworks 100% free & open-source
What else do you want?
Code with AI, Review with AI, Fix all with AI. Weβre all better together!
Just got my Agentic Deep Researcher featured on the official @AgnoAgi docs! π§ If you're building multi-agent workflows with Agno, give it a look π
I recently Built this Deep Researcher Agent using @scrapegraphai , @AgnoAgi Here's How the Workflow Goes:
Just built an Agentic Deep Researcher! π It does multi-step web research & writes reports: β @scrapegraphai for live data β DeepSeek R1 for analysis β MCP server to run from Claude, Cursor & more Built with @AgnoAgi, @nebiusaistudio & @streamlit. Check it out ππΌ
Currently Exploring Strands Agents by @awsdevelopers π It looks very promising! Will share more content around it shortly!
I was about to update my Reddit MCP Server, but wanted some fresh eyes first. π Tried out @forgecodehq to get quick feedback and improvement ideas. Honestly? It did a solid job pointing out things Iβd missed. Here's the Demo:
Just tried out Qwen Code by @Alibaba_Qwen inside @nebiusaistudio π Told it to review + fix my code... and it actually did really well. Clean suggestions, smart edits. I'm quite Impressed. Watch it here:
Qwen just dropped their most agentic code model yet: Qwen3-Coder-480B-A35B-Instruct π₯ β 480B total params, 35B activated β Agentic Coding + 256K native context (1M with Yarn!) β Beats most open models on agent tasks β Built for repo-scale understanding Check it outπ
Just read an interesting blog by @Coderabbitai What % of your code should be AI-generated? Spoiler: thereβs no magic number. Google & Microsoft say 30%+ of their new code is AI-made. Worth a read if you care about AI metrics that actually matter.
Brave just launched their official MCP Server! It brings: β Web, Image, Video, News, Local Search β AI-powered Summarization β Works over HTTP & STDIO β Powered by @brave Search API Open-source, production-ready.
The AI coding game just changed! Amazon just dropped Kiro, an AI tool that makes you plan before you code. > Built like a senior dev > Inspired by Rolls-Royceβs planning system > VS Code-like UI > Free trial with top AI models Feels like coding, but upgraded. Tried it yet?
Anthropic recently dropped a solid new tutorial: How to build an AI App in Claude A few quick insights that stood out: 1. Start simple: define your appβs purpose & key features upfront. 2. Use Claudeβs built-in templates (PRDs, 5 Whys, etc.) to scaffold fast. 3. Iterate inβ¦
Chat with your SQL database, the easy way! π @vannadotai is an open-source Python RAG framework for accurate Text-to-SQL generation. Use LLMs + RAG to query your data like a conversation. Simple, powerful, and fully open-source.
@coderabbitai Diagrams are a lifesaver! While working on long PRs, it helps me to understand the flow! Big fan of this!