---
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type: video
title: 'Your AI Agent Has No Nervous System — Matt Gibiec, Dynatrace'
description: >-
  Your coding agent is fast. But it can't see how your services actually run, so
  it guesses. Matt Gibiec, who leads AI-native solutions engineering at
  Dynatrace, explains why AI agents need something like a nervous system: real
  context from the environment they're changing. Agents get stuck in loops,
  cause operational and security issues, and are hard to measure, because they
  work fast but blind, only as good as the data they can see. He introduces
  Bluebox by Dynatrace, an observability agent for your coding agent, and walks
  through scenarios: bringing production dependencies into local testing so a
  change that works on your laptop doesn't break three other services, spotting
  issues before users feel them, suggesting fixes that account for the rest of
  the system, and briefing agents with real usage data before they build, with a
  human keeping final control. In this talk: • Why agents loop, hallucinate and
  break things without environment context • Bringing production dependencies
  into local testing • Catching problems early and tying them to the change that
  caused them • Planning before you prompt, with a human approving the final fix
  SPEAKER Matt Gibiec, Solutions Engineering, AI Native, Dynatrace LINKS Bluebox
  by Dynatrace: https://bluebox.ai Dynatrace: https://www.dynatrace.com Bluebox
  on X: https://x.com/Blueboxhq CHAPTERS 0:00 Intro 0:35 About Dynatrace 1:00
  What the title means 2:10 Stuck in a loop 2:50 Operations and security 3:30
  How do you measure value? 4:34 Fast, but blind 6:34 Context is king 7:04
  Introducing Bluebox 7:29 Works locally, breaks in production 9:09 Catch issues
  before users do 10:59 Fix without breaking other things 12:09 Plan before you
  prompt 13:29 A human stays in control 14:44 Try the preview Recorded at the AI
  Engineer World's Fair 2026 in San Francisco. Subscribe for more talks from the
  engineers building with AI. AI Engineer: https://ai.engineer YouTube:
  https://www.youtube.com/@aiDotEngineer X: https://x.com/aiDotEngineer
  LinkedIn: https://www.linkedin.com/company/aidotengineer/ #Observability
  #CodingAgents #AIEngineer
canonical: >-
  https://liquidgold.cc/channel/aidotengineer/explore/video/your-ai-agent-has-no-nervous-system-matt-gibiec-dyn-420619238221
markdown: >-
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updated: '2026-10-23T22:19:32.196Z'
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publishedAt: '2026-10-08T18:30:21.000Z'
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# Your AI Agent Has No Nervous System — Matt Gibiec, Dynatrace

Your coding agent is fast. But it can't see how your services actually run, so it guesses. Matt Gibiec, who leads AI-native solutions engineering at Dynatrace, explains why AI agents need something like a nervous system: real context from the environment they're changing. Agents get stuck in loops, cause operational and security issues, and are hard to measure, because they work fast but blind, only as good as the data they can see. He introduces Bluebox by Dynatrace, an observability agent for your coding agent, and walks through scenarios: bringing production dependencies into local testing so a change that works on your laptop doesn't break three other services, spotting issues before users feel them, suggesting fixes that account for the rest of the system, and briefing agents with real usage data before they build, with a human keeping final control. In this talk: • Why agents loop, hallucinate and break things without environment context • Bringing production dependencies into local testing • Catching problems early and tying them to the change that caused them • Planning before you prompt, with a human approving the final fix SPEAKER Matt Gibiec, Solutions Engineering, AI Native, Dynatrace LINKS Bluebox by Dynatrace: https://bluebox.ai Dynatrace: https://www.dynatrace.com Bluebox on X: https://x.com/Blueboxhq CHAPTERS 0:00 Intro 0:35 About Dynatrace 1:00 What the title means 2:10 Stuck in a loop 2:50 Operations and security 3:30 How do you measure value? 4:34 Fast, but blind 6:34 Context is king 7:04 Introducing Bluebox 7:29 Works locally, breaks in production 9:09 Catch issues before users do 10:59 Fix without breaking other things 12:09 Plan before you prompt 13:29 A human stays in control 14:44 Try the preview Recorded at the AI Engineer World's Fair 2026 in San Francisco. Subscribe for more talks from the engineers building with AI. AI Engineer: https://ai.engineer YouTube: https://www.youtube.com/@aiDotEngineer X: https://x.com/aiDotEngineer LinkedIn: https://www.linkedin.com/company/aidotengineer/ #Observability #CodingAgents #AIEngineer

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/your-ai-agent-has-no-nervous-system-matt-gibiec-dyn-420619238221 · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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