Zoomer is Meta's platform for automated debugging and optimization of AI workloads, enhancing performance across training and inference processes. It delivers insights that reduce training times and improve query performance, addressing inefficiencies in GPU utilization. The tool generates thousands of performance reports daily for various AI applications.

Sentry provides comprehensive monitoring and debugging tools for AI applications, enabling developers to quickly identify and resolve issues related to LLMs, API failures, and performance slowdowns. By offering real-time alerts and detailed visibility into agent operations, Sentry helps maintain the reliability of AI features while managing costs effectively. With easy integration and proven productivity benefits, Sentry is designed to enhance developer efficiency without sacrificing speed.

The Chrome DevTools Model Context Protocol (MCP) server is now in public preview, enabling AI coding assistants to debug web pages within Chrome and utilize DevTools capabilities for improved accuracy in coding. This open-source standard connects large language models to external tools, allowing for real-time code verification, performance audits, and error diagnosis directly in the browser. Developers are encouraged to explore the MCP features and provide feedback for future enhancements.