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Google’s AI ecosystem is much bigger than most people realize. They now operate across more than fifteen AI tools, many of which fly under the radar. Their strategy is clear: build an interconnected ecosystem where every product reinforces the rest

2 frameworks powering next generation of AI apps. Here’s how LangGraph and LangChain make it happen. 𝗟𝗔𝗡𝗚𝗚𝗥𝗔𝗣𝗛 (𝘀𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽) LangGraph is a graph-driven framework for building dynamic, multi-agent AI workflows. 1. 𝗗𝗲𝗳𝗶𝗻𝗲

20 tips for coding by prompt — and no, these aren’t just gimmicks. Most devs don’t realize how far prompt-based coding has come. You’re not just asking for syntax help anymore. You’re running full workflows, automating chores, and shipping faster —

--- 🧑‍💻Looking For Tech Co Founder You’ll be working mainly on frontend tasks with limited but guided exposure to backend integration. This role is execution‑focused, learning‑heavy, and impact‑driven. 🔧 Your Skill Profile (Expected) Strong i

🔍 Understanding How Language Models Think – One Circuit at a Time "Circuit Tracing: Revealing Computational Graphs in Language Models" by Anthropic ↳introduces a method to uncover how LLMs process and generate responses by constructing graph-bas

People know vibe tools, but struggle to use them. I've prepared a solid framework that works across all platforms. 1) 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗶𝗻 𝗼𝗻𝗲 𝘀𝗲𝗻𝘁𝗲𝗻𝗰𝗲 (5 𝗺𝗶𝗻𝘂𝘁𝗲𝘀) Be brutally simple. Your app must do ONE thing