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Kent C Dodds announces a live talk about Kody, an AI tool, discussing its development, agentic loops, and integrations with Cursor and Sentry.
Kent C. Dodds demonstrates how to use Cursor AI and Sentry for building self-healing software and is hosting an upcoming event to share the method.
A developer built an automation that uses a webhook from Sentry to trigger a Cursor AI agent to investigate and fix errors, then auto-merge and deploy if low risk.
Sentry released an AI agent called 'Seer' that analyzes backend errors, determines root cause, drafts a fix, and automatically opens a pull request for review.
This article explains the Model Context Protocol (MCP) for building pluggable AI agent architectures, detailing lessons from building an MCP server at Sentry, including OAuth 2.1 integration, designing agent-friendly tool interfaces, and current ecosystem limitations.
Sentry and GitHub are hosting a workshop on July 15th to demonstrate an automated error-fixing loop where Sentry catches errors, Seer diagnoses them, and Copilot opens a fix as a PR.
Explores whether analytics agents should incorporate contextual data from tools like Linear, Sentry, and Notion, or remain purely metrics-driven.