On demand
Building with MCP and Claude Code: Sentry's 0 to 1 Story
Discover how leading organizations are transforming their workflows with Model Context Protocol (MCP) and Claude Code. Join David Cramer, CPO and Co-founder, at Sentry, alongside Jeremy Hadfield and Ilana Nathans from Anthropic as they share real-world implementation stories and practical strategies for success.
In this webinar, David will walk through Sentry's journey adopting MCP and Claude Code—from initial exploration to production deployment. Learn how his team integrated Claude into their development workflows, the challenges they overcame, and the measurable impact on productivity and code quality. You'll hear firsthand insights on building with agentic AI tools and see live demonstrations of the solutions they've built.
Whether you're just getting started with Claude Code or looking to scale your MCP implementation, this session offers actionable takeaways from a technical leader who's been in the trenches.
Featured speakers
David Cramer
CPO and Co-Founder @ Sentry
Jeremy Hadfield
Applied AI @ Anthropic
Ilana Nathans
GTM Team @ Anthropic
What you’ll learn
Real customer implementation – Hear David's firsthand account of deploying MCP and Claude Code at Sentry from prototype to production, including their decision-making process, technical architecture choices, team adoption strategies, and lessons learned along the way
MCP in action – See live demonstrations of how Sentry uses Model Context Protocol with Claude in the solutions they’ve built.
Claude Code workflows – Learn practical use cases for Claude Code in professional development environments, from code review automation to complex refactoring tasks
Overcoming challenges – Get honest insights into the obstacles Sentry faced during implementation and the solutions that worked, helping you avoid common pitfalls in your own deployment
Q&A with technical experts – Get your questions answered by both a customer practitioner and Anthropic's Applied AI team about scaling agentic AI in your organization