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Content Deep Dive

Build and run Datadog workflows from Bits Chat or AI agents

Blog post from Datadog

Post Details
Company
Date Published
Author
Neha Haresh, Gabriel Margolis, Brianna Wang, David Robert-Ansart
Word Count
1,146
Company Posts That Month
28
Language
English
Hacker News Points
-
Post removed?
No
Summary

Datadog Workflow Automation can now be created, executed, debugged, and updated through Bits Chat, AI coding agents such as Claude Code, Cursor, and Codex via the Datadog MCP Server, and Slack conversations. The feature is designed to convert recurring operational investigation and remediation tasks into context-aware workflows without requiring teams to switch tools or manually recreate information. Examples include workflows that investigate API error spikes, correlate failures with deployments, perform safe rollbacks, verify service recovery, open pull requests for code fixes, or escalate issues with attached findings when causes are unclear. AI agents can use existing Datadog monitors, service metadata, integrations, traces, and workflows to generate and refine automations conversationally, while Bits Chat can diagnose failed workflow runs and suggest fixes. Custom agents built with Bits Agent Builder can also invoke workflows during incidents, enabling consistent human- and agent-initiated responses across Datadog, development environments, and Slack.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Coding Assistant 6 1,583 556 143 +1%
AI Agents 2 5,597 1,412 271 -6%
MCP 2 10,588 922 216 +14%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.