Agentic workloads break assumptions about software testing. Here’s how to cope
Your agent pilots work fine. Then they break in production. Here's why — and what to do about it.
Why it matters
Agentic workloads violate three core assumptions built into traditional enterprise testing (fast completion, free retries, deterministic output). This operational shift demands new testing, observability, and failure-recovery patterns that most teams haven't yet adopted. The gap between pilot success and production failure is becoming a recognized deployment blocker.
The key facts
4 to knowAgentic workloads break three traditional assumptions: job completion speed, retry cost, deterministic output
Pilots that perform well frequently become operational problems once run unattended
Difficulty is not model capability but operational reliability and testing strategy
Problem is operational and architectural, not model-driven
Go to the source
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Publisher excerpt: Most traditional enterprise systems were built around three assumptions: Jobs finish quickly, retrying one is free and the same input always produces the same output. Agentic workloads break all three of these expectations, which is why pilots that perform well turn into operational problems once…