🚀 Old agent demos are fun… but they don’t scale. DecodingML(Paul Iusztin) just dropped Lesson 2 of their free open-source course: Designing Enterprise MCP Systems. This time, it’s about how to build like a real engineer. Here’s what they cover: ✅ A PR Reviewer Assistant that connects GitHub → Asana → Slack with clean MCP orchestration. ✅ How to split workflows into host, client, and servers so your automations stay modular. ✅ Using a Global MCP Server to unify tools—swap or add integrations without breaking your host logic. ✅ Building custom servers for Slack + Asana, with prompts versioned and observable via Opik. ✅ End-to-end flow: PR opens → Gemini plans tool calls → review summary lands in Slack. Most agent tutorials stop at “hello world.” This lesson shows how to architect production-ready developer automations that actually survive in enterprise. 👉 Read Lesson 2 here: https://lnkd.in/e9XgBP2U
This is the kind of practical architecture most tutorials skip. Excited to see more lessons like this. Towards AI
Senior AI Engineer • Founder @ Decoding ML ~ Building an army of AI agents and teaching you about the process.
5dThanks for sharing. We love this MCP series 🙏 Thanks to Anca Ioana Muscalagiu who did a fantastic job