You can’t trust vibes in production
AI is increasing development velocity faster than existing operating models can absorb it. More code is being generated. More changes are reaching production, and systems are becoming too complex for people to understand every consequence before something ships.
As development is becoming more autonomous, operations must follow. But autonomy in production creates a different problem: how do you trust a system to act when no human can fully understand every decision it may need to make?
Trust cannot come from intelligence alone. It must be built on evidence that an agent can assess risk, operate within defined boundaries, and produce verifiable outcomes.
The first industry response was the AI SRE: an agent that investigates incidents, correlates telemetry, identifies likely causes, and recommends remediation. These systems have shown that agents can perform more meaningful operational work.
But recommendation is not autonomy. The harder problem: how to let agents act in production...
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