Turning Implicit User Signals Into Agent Improvement Backlog Items
Behavioral signals from production traces reveal agent failures that users never explicitly report.
Behavioral signals from production traces reveal agent failures that users never explicitly report.
Capture tool arguments and results to detect silent failures in agent pipelines.
Distinguish real agent regressions from flaky tests by tracing failures through specific layers.
Memory failures in long-running agents hide across sessions where standard tests cannot find them.
Prioritize regression tests by actual production failure patterns, not imagined ones.
Agents face injection attacks at multiple entry points that one-time testing cannot catch.
Catch silent agent failures by testing tool call sequences, not just final answers.
Testing the changed tool alone misses failures that surface steps away in the workflow chain.
Subtle memory changes compound silently across sessions, evading standard tests.
Standard monitoring misses agentic loops because they return 200 while spinning endlessly.
Replay catches failures, but only a well-chosen judge can score them.
Replaying fixes against real failure traces catches what tests miss.