Measuring Reliability and Success Rates of Agent Workflows
Step-level accuracy masks the compounding failures that destroy reliability at scale.
Section
10 stories in Continuous Agent Workflows.
Step-level accuracy masks the compounding failures that destroy reliability at scale.
How to stop GPUs from sitting idle while agent jobs pile up in the queue.
Automated agents now close the gap between vulnerability alerts and actual fixes.
Three design decisions determine whether humans take over smoothly or customers repeat themselves.
Compound probability kills long-running agent tasks—design systems that expect failure.
AI agents now catch twice as many code bugs as traditional static analysis tools.
AI agents broke traditional CI/CD pipelines, and platforms just caught up.
Production agent reliability depends on execution plumbing, not model intelligence or prompts.
Software agents that plan, act, and iterate autonomously are reshaping how teams ship code in 2026.
Prevent duplicate charges and phantom orders by designing agent steps to safely survive retries.