PagerDuty said it has expanded its AI integration ecosystem to strengthen autonomous operations across software delivery, incident response, and infrastructure management. The company added more than 30 AI partners across 11 categories to its public integration directory. It also expanded its Operations Cloud and PagerDuty Advance Site Reliability Engineer agent into areas such as coding assistants, enterprise copilots, cloud operations, and LLM observability. The move is designed to help organizations manage the growing operational risks created by faster software releases and AI-generated code by linking development, observability, and response workflows more closely.
PagerDuty said the ecosystem can connect through its Model Context Protocol server, partner MCP servers, and direct APIs, allowing teams to use incident history, service context, and operational data to improve triage, root-cause analysis, and deployment safety before failures reach production. The announcement also highlighted new and upcoming integrations with Anthropic’s Claude Code, Cursor, and LangChain’s LangSmith. These tools are intended to help developers identify risky code changes, review incident history within coding environments, and trigger response workflows when AI applications exhibit performance or reliability issues.
PagerDuty Chief Executive Officer Jennifer Tejada said, “Organizations are racing to adopt AI agents, but the real challenge is making them work together seamlessly in production environments.” She added, “This means faster incident resolution, reduced downtime, and the ability to prevent issues from impacting customers at all.” Cursor engineering lead Josh Ma said the work gives developers “multiple ways to access critical operational context,” while LangChain Chief Executive Officer Harrison Chase said the integration helps teams detect critical issues and launch response agents “in minutes.”