Skip to main content

📡 Welcome: Mission Director's Briefing

Mission Control

After months of preparation, your crew has finally landed on Mars 🟠. Now it’s time to establish Mission Control operations with Agentic AI 📡🤖🚀 to keep the colony running smoothly.

🎯 Your mission:​

Set up 🛰️ communication and 🌦️ weather monitoring systems to support life in the new habitat, while staying connected to Earth 🌍 with regular updates on your progress.

And most importantly, bring up the full CAIPE system — your command center for running Mission Control — so every operation is coordinated, automated, and mission-ready.

Along the way, you’ll complete a series of Mission Checks to ensure your systems — and your crew — are ready for anything.

With CAIPE — your superhero “cape” for platform engineering 🦸 — you’ll deploy agents to handle communications, weather tracking, and mission-critical operations.

Now, let’s start with a quick intro to CAIPE before the full mission checklist briefing.

What is CAIPE (Community AI Platform Engineering)​

  • Community AI Platform Engineering (CAIPE) (pronounced as cape) is an open-source, Multi-Agentic AI System (MAS) supported by the CNOE (Cloud Native Operational Excellence) forum.
  • CAIPE provides a secure, scalable, persona-driven reference implementation with built-in knowledge base retrieval that streamlines platform operations, accelerates workflows, and fosters innovation for modern engineering teams.
  • It integrates seamlessly with Internal Developer Portals like Backstage and developer environments such as VS Code, enabling frictionless adoption and extensibility.

CAIPE is empowered by a set of specialized sub-agents that integrate seamlessly with essential engineering tools. Below are some common platform agents leveraged by the MAS agent:

  • ☁️ AWS Agent for cloud ops
  • 🚀 ArgoCD Agent for continuous deployment
  • 🚨 PagerDuty Agent for incident management
  • 🐙 GitHub Agent for version control
  • 🗂️ Jira/Confluence Agent for project management
  • ☸ Kubernetes Agent for K8s ops
  • 💬 Slack/Webex Agents for team communication
  • 📊 Splunk Agent for observability

...and many more platform agents are available for additional tools and use cases.

Tip:💡 CAIPE (Community AI Platform Engineering), pronounced like cape (as in a superhero cape 🦸‍♂️🦸‍♀️). Just as a 🦸‍♂️ cape empowers a superhero, CAIPE empowers platform engineers with 🤖 Agentic AI automation! 🚀

CAIPE Badges​

Mission Checks​

  • Mission Check 1 — Start Ignition: Download Mission and Learn the Controls 🚀📝

    • Clone the repo, set up prerequisites, and bring Mission Control online. 🛰️
    • Learn the basics of Agentic AI and AGNTCY. 🤖

  • Mission Check 2 — Create Life 🧬✨

    • Run the Petstore Agent 🐾 and confirm your first AI agent is alive. ⚡

  • Mission Check 3 — Cosmic Forecast 🌌🌫️

    • Introduce the Weather Agent to monitor weather on Earth and Mars
    • Run the CAIPE multi-agent system with Petstore and Weather agents. ☁️

  • Mission Check 4 — Reconnaissance & Reporting: Knowledge Base RAG and Reporting 📚🧠

    • Integrate the Retrieval Augmented Generation Agent.
    • Launch the Knowledge Base RAG system 🗂️, ingest docs, and query them. 🔍
    • Use the RAG + GitHub Agent 🐙📋 to write a report and commit to Git repository. 📨

  • Mission Check 5 — Assemble Full CAIPE with idpbuilder 🛠️📦

    • Package the full CAIPE stack into reproducible, deployable bundles. 🎁
    • Bonus: Run CAIPE with AGNTCY SLIM. 🦾

  • Mission Check 6 — Tracing and Evaluation 🕵️‍♂️📊

    • Customize prompts, enable tracing, and evaluate agent workflows. 🧪

  • Mission Debrief 🛰️🤝

    • Conclusion and Next Steps. 🌟

  • Bonus — AGNTCY

    • Learn and try out AGNTCY components.

Workshop Logistics and Support​

  • 🔍 Demo Lab Navigation

    • Easily switch between the Lab Guide, Terminal, and IDE using the toggles in the top right corner of your screen.
    • Familiarize yourself with the interface before starting your missions for a smoother experience.

  • 💻 Workspace Directory

    • Your main workspace is located at: /home/ubuntu/work
    • Use the IDE toggle (top right) to access your files and code editor.
    • For terminal navigation, try using mc - Midnight Commander (a visual file manager). Launch it in the terminal for a split-pane view.

  • 🆘 Need Help?

    • Raise your hand and chat with a workshop team member during the session so a team member can start a breakout session.

  • 🤝 Breakout Sessions

    • The instructor will guide the lab at a steady pace, but each Mission Check is timed to ensure we cover all the key objectives.
    • For help during any Mission Check, a dedicated Webex breakout session is available. You can join the breakout room to get assistance, then return to the main session once your question is answered.
    • Feel free to move between the main session and the breakout as needed—this way, everyone can get support without missing the overall mission flow.

  • ⏳ Lab Availability

    • Your lab environment will remain active for 36 hours after the workshop, until EOD Thursday (Pacific Time).
    • Please save your work and download any important files before your instance is terminated (as hosting VMs incurs costs).

🛰️ Optional: Local Setup Preflight​

We got you covered with lab environment. No need to bring any extra setup

  • Integrated Lab Access We’ve set up a ready-to-go lab environment. You’ll also have temporary LLM access during the workshop and for 36 hours afterward — so you can keep tinkering after we land.

  • Optional Local Launch Pad Want to try running the stack on your own setup? Here are the recommended specs for smooth orbit:

    • 8 CPUs
    • 16 GB RAM
    • 80 GD Disk Space
    • Docker installed and ready

🌠 Final Call​

Suit up, power up your consoles, and get ready to take control of the next frontier of AI-driven operations. The future of our Mars colony — and the safety of your crew — depends on your engineering skills.

Countdown to launch starts now… T-minus 3… 2… 1… 🚀