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 Agent2Agent protocol! The Wiz will also compare the code for a simple agent across all of the most popular frameworks we've covered in the past, including LangGraph, Agents SDK, AG2, LlamaIndex, DSPy, and PydanticAI.
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π Coming Up
The 2025 AI Engineer Challenge
Want to build and deploy your first real LLM app in 2025? Join us live for The AI Engineer Challenge β a hands-on walkthrough of the tools, stack, and skills youβll need to go from zero to AI Engineer hero and to start building end-to-end today!
Part II of our RAG series dives into the real-world blockers to getting your prototype into productionβfrom stakeholder buy-in to cloud deployment with LangChain on Azure Databricks. If you're serious about scaling your LangGraph RAG app, this is where concepts meet code.
Last week, we explored OpenAIβs newly released Codex CLI. We broke down best practices, discussed the evolving landscape of coding agents including AI-powered code editors, and examined how experimental projects like Codex CLI are shaping software engineering workflows in 2025. β βπ§° OpenAI Codex