Build AI Agents and connect them to 100,000+ APIs with Postman's AI Agent Builder. It has a drag-and-drop visual interface to build agent workflows with no code.

How I made my Cursor/Windsurf workflow ultra productive with "Context Boundary" Technique: (Bookmark this for future reference) ↓

alright, MCP megathread 🧵 you should probably bookmark this ↓

Blender MCP is here, allowing Claude to talk directly to Blender. For example, provide a 2D reference image and ask Claude to create it in 3D for you.

Cursor Agent is just wild. Now i use Gemini PRO 2.5 to scan the codebase and sonnet 3.5/3.7 to execute code. In this workflow you need 3 things: 1. Detailed project documentation 2. Use multiple AI coding models 3. 50-step implementation plan I spend 30 hours/week on cursor.

Turn any GitHub repository into a visual diagram in seconds. Just replace github with gitdiagram in the URL. 100% Opensource and free.

This dude explains how DeepSeek works in 25 mins and why it's a big deal:

Let's build an MCP-powered Agentic RAG (100% local):

I'm 😭 listening to this. First time I heard that voice in person, was such a treat, I'm definitely jealous of it. This clip doesn't make it justice, but you should still watch it :)

10 MCP, AI Agents, and RAG projects for AI Engineers (with code):

This guy literally forked OpenAI Codex CLI to work with Gemini 2.5 Pro and other opensource models via Ollama. It can run code, manipulate files, iterate, and even use images. 100% free and opensource.

I should charge $99 for this…but today, it’s free. If you want to build AI Agents, this "AI Agents Mastery Guide" will change everything. → Learn how AI Agents actually work → Set up your own in 1 weekend → 20+ disruptive ideas and frameworks RT + comment "Agent" and I'll

Wow.. Now you can transcribe 60 minutes of audio in just 1 second with a completely open-sourced model 🤯 NVIDIA just open-sourced Parakeet TDT 0.6B V2, a 600M parameter automatic speech recognition (ASR) model that tops the Hugging Face Open-ASR leaderboard with RTFx 3380

Let's build an MCP-powered financial analyst (100% local):

Thanks Eric Simons bolt.new

A great tool to estimate how much VRAM your LLMs actually need. Alter the hardware config, quantization, etc., and get to know about: - Generation speed (tokens/sec) - Precise memory allocation - System throughput, etc. No more VRAM guessing!

OpenAI quietly dropped a 34-page technical manual on building AI agents that 99% of people will never read. I spent 3 days coding every single pattern they revealed. Here's the practical guide to autonomous AI agents:🧵

Decided to build my own Spreadsheet Pro bolt.new inspired by Dominic Elm post

Model Context Protocol (MCP), clearly explained:

guys?