Build 🏗️, Ship 🚢, and Share 🚀

EVENT RECAP 🧰 AnyMCP: Deploying MCP Servers Last week, we learned to deploy MCP servers to APIs, we compared MCP servers to REST APIs, and heard from experts Abishek and Lucas about the future of leveraging MCP servers in production LLM applications. 🧑🏫 Concepts: AnyMCP 🎥 Recording: AnyMCP: Deploying MCP Servers COMING UP THIS WEEK Google ADK: Agent Development Kit Google's ADK, the Agent Development Kit, is a new agent framework that allows us to design, deploy, and evaluate intelligent...

Event Recap! 🧰 RAG: Production Best Practices Last week, we learned what enterprises must do with their infrastructure stack to maximize development velocity, including how to leverage the right amount of on-prem and cloud tools! 🧑🏫 Concepts: Enterprise RAG 🧑💻 Code: On-Prem RAG Repo 🎥 Recording: The 2025 Best-Practice RAG Stack, Part II Coming Up This Week! AnyMCP: Deploying MCP Servers Our friends at Arcee just released AnyMCP, and it's built to easily manage your Model Context Protocol...

👨💻 Do you code everyday? Do you want to code everyday? 💼 Do you manage people who code every day? Vibe coding is not enough. A vibe coder will never take your job. Vibe coders will not make the engineers on your team obsolete. But AI-Assisted Developers will. If you're not doing AI-assisted development yet, start here👇 to 🏗️ build, 🚢 ship, and 🚀 share your first LLM application with the latest 2025 best-practice tool stack! Take The AI Engineer Challenge Today Step 1: Set up your AI IDE Step...

Hey, AI Makerspace community! Want to build and deploy your first LLM application? The best place to start is to join us live tomorrow for The 2025 AI Engineer Challenge at 10 AM PDT. We will provide a detailed hands-on walkthrough of the tools, stack, and skills you’ll need to go from zero to AI Engineer hero and to start building end-to-end today! 🔍 Coming Up RAG: The 2025 Best-Practice Stack, Part II: Enterprise Production Part II of our RAG series dives into the real-world blockers to...

Hey, AI Makerspace community! Tomorrow, we're hosting a special event entitled "What is an Agent?" We've thought deeply about this problem for years, and we were inspired by the recent Matter of OpenAI vs. LangGraph. We will break down all of the definitions that different industry players are using (including our own!), and have a rich discussion about what categories of agents matter most to think about today, and how we expect this to evolve in a world of agentic fabrics, MCP, and...

Hey, AI Makerspace community! This Wednesday, we'll cover the new release from OpenAI: Codex CLI, a lightweight coding agent that runs in your terminal. Carrying the same name as the original Codex models released in 2021, this new open-source tooling is a CLI-based coding agent that bears little resemblance to the model that originally powered GitHub Copilot. Join us to understand coding agents and best practices for their use in 2025 🔍 Coming Up: What is an Agent? OpenAI just released their...

Hey, AIM community! Tomorrow, we'll cover Enterprise Agents with OpenAI! What does the agents SDK look like from OpenAI? How does it build on previous work they've done? Are they officially in the end-to-end platform game competing with orchestration frameworks like LangChain, LlamaIndex, CrewAI, and others? Join us live to find out! Last week, we discussed RAG: The 2025 Best-Practice Stack This is the year of Practical RAG, and we kicked it off by unpacking the Minimum Viable...

Hey, AIM community! On Wednesday, we'll cover the infra stack that we recommend for RAG in 2025. Then, we'll build, ship, and share a best-practice RAG app. We'll also discuss important production tradeoffs and implications that you should consider before and after deployment when going from zero to production RAG! Last week, we discussed the latest open-source repo drops from DeepSeek Week, and we covered how they're being used as a new best-practice way to do inference on MoE models via...

Hey, AIM community! Next Wednesday, we begin a new series on Optimization of LLMs! We'll tackle an important topic from first principles: building and optimizing LLMs before they make it to production. What are the essential concepts and code that underlie the technology, from loss functions and gradient descent to LSTMs, RLHF, and GRPO? Join us to kick off our new series - which we will continue monthly - about Optimization of LLMs. Last week, we put PydanticAI to the test! 🚀 The team behind...