In July’s episode of This Month in Datadog, Ruxanda Lueck joins Jeremy for a conversation about how you can confidently evaluate and release features that contain AI-generated code. She also discusses her career trajectory from containers to AI, how agentic workflows impact trust during feature development, and the challenges of testing nondeterministic agent behavior.
Later, Jonathan Parisot talks with Jeremy about how you can use natural language to ask, understand, and act in Datadog by using Bits Chat. He also discusses how Bits can remember key facts and data, and use skills built around best practices. Lastly, he talks about a future capability to access Bits in your existing workflows through the MCP Server.
New features
Ship code safely and at AI speed with Bits Release
Bits Release, available in Preview, automatically validates code changes from pull request to production. It generates a validation plan, runs checks in staging, and monitors the production rollout, helping you deploy faster and with confidence.
