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🎯 The Problem: AI Shadow in DevOps
AI is already everywhere in DevOps — but much of its value is lost.
Engineers use AI daily to debug, design, and fix infrastructure… yet most of that knowledge remains personal, ephemeral, and untracked.

Every day, teams solve complex problems with AI assistance, only to watch those solutions disappear into private chats, uncaptured for teammates who will face the same issues tomorrow.

We call this the AI Shadow — the invisible layer of AI-driven work that boosts individual productivity but leaves organizational learning behind.

🌑 AI Shadow Operations: The Challenge
Our collective challenge: How do we move from hero-driven, AI-assisted fixes → to systems that remember, explain, and govern AI-driven decisions?
Note: We're not presenting a finished solution — we're exploring patterns that teams can adapt and evolve.

What Gets Lost in the Shadow:

  • Debugging sessions that solved production issues
  • Design decisions discovered through AI iteration
  • Troubleshooting workflows that worked under pressure
  • Configuration fixes that resolved complex dependencies

The Impact on Teams:

  • Engineers solve the same problems repeatedly
  • New team members can't learn from past AI-assisted solutions
  • No audit trail for AI-driven infrastructure changes
  • Organizations can't measure or optimize AI tool ROI

💡 What We'll Explore Together
Live Demo: Making the Shadow Visible
Watch a real AI-assisted troubleshooting session captured, documented, and made discoverable:

  • Capture: Logging an AI debug conversation with context
  • Evidence: Attaching related PRs, commits, and logs
  • Close & Store: Finalizing the session with a summary
  • Discover: Later finding and replaying the decision trail
  • Reuse: Applying the same pattern to a new, similar problem

👥 Who Should Join
Bring one example where AI helped you solve a DevOps problem that wasn't captured or shared.
This discussion is for anyone who's:

  • Used AI tools (ChatGPT, Copilot, etc.) for DevOps work
  • Solved a problem with AI only to forget how
  • Wanted to learn from a teammate's AI-assisted solution
  • Responsible for scaling AI adoption across teams

You'll leave with:

  • Concrete patterns for capturing AI work
  • Approaches for building team AI knowledge
  • Connections to others solving the AI Shadow challenge
  • Next steps for your team or organization

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