Supercharge #AgenticAI Projects A DevEx Driven Approach to #CloudNative Scaffolding
summary
Quarkus scaffolding plus LangChain4j and MCP spins up local MCP servers (Brave search, file, memory, Google Maps, Slack) and a WebSocket chatbot that finds nearby gluten‑free restaurants, posts the invite to Slack, and writes an iCal file after a retry; the agent issues multiple GPT calls and records traces/metrics to Loki/Grafana/Tempo/Prometheus so you can see each tool invocation. Demo runs in Quarkus dev mode and Podman locally and the setup is auto‑scaffolded into a Backstage software template for Kubernetes. Quarkus + LangChain4j + MCP
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chapters (9)
- 0:00Introduction to Agentic AI
- 2:06What is an Agentic Application
- 7:58Agentic Architecture Fundamentals
- 15:20Java Frameworks for Agentic AI
- 21:03Model Context Protocol Explained
- 24:55Live Demo with Quarkus
- 39:58Observability in Agentic Apps
- 55:20Scaling Agentic Apps with Backstage
- 1:03:55Summary and Takeaways
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