From SiliconANGLE · Guest Author · · 1m 20s
Agentic workloads break testing assumptions
Agentic workloads challenge software testing norms with hidden costs and unrepeatable failures.
In brief
Agentic workloads challenge software testing norms with hidden costs and unrepeatable failures. Agentic workloads break traditional testing assumptions by creating hidden costs, unrepeatable failures, and requiring new operational practices for reliable deployment. Originally reported by SiliconANGLE.
Traditional testing assumptions
Most traditional enterprise systems assumed jobs finish quickly, retries are free, and inputs always produce the same output.
Agentic workloads break rules
Agentic tasks take minutes not milliseconds, retries cost money, and failures cannot be reproduced.
Why pilots hide problems
Human error handlers fix issues interactively while automated workflows run headlessly without visible failures.
Three key risks
Invisible costs, failures that report success, and incidents nobody can explain threaten production systems.
Five critical questions
What defines acceptable output? How many attempts? What do we record? Who approves? What happens with model updates?
Where consolidation helps
Agentic tools are scattered; a unified workspace records runs, inputs, outputs and approvals together.
Skills gap reality
Teams from application development struggle with long-running, partially failing agentic workloads.
What to do next
Define correct output before work runs, measure cost per completed unit, record enough for investigation, keep named person accountable.
The real problem
Agentic AI removed long-standing assumptions rather than creating new operational problems.
The essence
Agentic workloads break traditional testing assumptions by creating hidden costs, unrepeatable failures, and requiring new operational practices for reliable deployment.
