Why Testing AI Agents Is Bleeding Your Budget (And How to Fix It)

Every AI agent you plug into your stack runs up a bill, one token at a time. Third-party systems, LLM calls, credit checks. In lower environments, that adds up fast, and sometimes those services aren't even available to test against.

In this episode of Inside the Stack, Don Jackson, of Perforce, breaks down how service virtualization solves this using BlazeMeter. Instead of hitting real third-party systems and AI agents during testing, you mock them, run negative tests you couldn't otherwise set up, isolate developers working in the same area, and keep pace with AI-accelerated development. The result for one customer virtualizing their LLM agent: over $1 million saved in token costs over six months.

Perforce | Inside the Stack

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