It’s 3:00 AM. Your phone buzzes. PagerDuty.
You check the alert: Production DB CPU at 100%. You log in, expecting a bad query from the new feature deployment. But it’s not a feature. It’s an agent.
A “Customer Support Agent” that a junior dev deployed yesterday was supposed to “answer queries.” Instead, it decided the best way to answer a question about “all users” was to run SELECT * on the users table. Repeatedly. In a loop.
This is the nightmare scenario for every Platform Engineer in 2025.
The Agentic Shift
We are moving from “Chatbots” to “Agents.” Chatbots output text. Agents output actions. They write code, they execute SQL, they call APIs.
But we are still treating them like chatbots. We wrap them in a nice UI, give them a system prompt, and hope for the best.
This is reckless. You wouldn’t let a junior engineer deploy code to production without code review, CI/CD, and integration tests. Yet, we let LLMs—which are prone to hallucination—execute code with barely a guardrail in sight.
The Diagnosis: Executables disguised as Text
The problem is that we view LLM output as “content.” It’s not content. When an agent writes code or SQL, that output is an executable.
If you treat an executable like text, you get security breaches. You get DROP TABLE. You get infinite loops.
The current “human in the loop” strategy is failing. Humans can’t read code as fast as AI generates it. We are drowning in diffs. We are rubber-stamping “LGTM” because we are tired.
The Pivot: Verify, Then Trust
Confidence isn’t about better system prompts. It’s about evidence.
We need to stop reading the code agents write and start running it. But we can’t run it on our laptops, and we definitely can’t run it in production.
We need a safe, ephemeral place where agents can “try out” their code.
- Spin up a micro-VM.
- Let the agent execute its plan.
- Run the tests.
- If it explodes, the VM vanishes. No harm done.
- If it passes, then we show it to a human.
Enter Agentic Infrastructure
This is why we built PrevHQ. Not to help you write code faster—you have enough tools for that.
We built PrevHQ to be the sandbox for your agents. It’s the “Validation Layer” that sits between your AI and your infrastructure.
Your agents need a playground. Your production environment needs a firewall. PrevHQ is both.
Don’t let your infrastructure be the collateral damage of the AI revolution. Treat agents like the untrusted binaries they are.