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.
The text is the source's own description of its publication. The content belongs to AI Engineer.
More from AI Engineer
Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arca
AI Engineer 23 Oct
Real AI Agent Attacks and What Would Have Stopped Them — Andrey Rybka, Bloomberg
AI Engineer 23 Oct
Outside of tech there has been no financial payoff to US companies for using AI, now viewed as a margin-hurting cost center, as VC-backed firms burn more tokens
Techmeme 4 h ago
Source: Replit recently moved most AI spend from Anthropic to OpenAI, which gave 30%+ off in a deal worth $100M+/year, after Anthropic discontinued its discount
Techmeme 6 h ago