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.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
DASH 2026: Guide to Datadog’s newest announcements
DASH 2026: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 206 views

2
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements
DASH 2026 Harnessing AI: Guide to Datadog’s newest announcements

Datadog | The Monitor blog Jun 9, 2026 178 views

3
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
4
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 107 views