Improve AI agent quality with Bits Evals
Datadog | The Monitor blog

Improve AI agent quality with Bits Evals


Summary

Bits Evals is a new set of features designed to automate repetitive tasks in the AI agent development lifecycle, such as error analysis, dataset creation, and evaluator generation. By integrating user feedback directly into production traces, the tool enables engineers to perform structured root cause analysis and quickly validate fixes using automated insights. Ultimately, Bits Evals helps teams accelerate their improvement loop, moving from identifying production failures to deploying validated improvements in hours rather than days.
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