Core Insights - Amplitude has launched an agent-to-agent integration with GitHub to enhance product development by incorporating real-time business context into engineering workflows [1][2][3] Integration Features - The integration enables AI-powered workflows where Amplitude functions as an agentic product manager, facilitating the connection between product insights and code implementation [2][3] - Amplitude's Feature Experimentation Custom Agent, developed in collaboration with GitHub, allows users to query product insights, manage feature flags, and run experiments on new features [3][5] Benefits for Teams - Teams can leverage Amplitude's analytics to identify effective strategies based on actual user behavior, prioritizing work that drives measurable outcomes [4] - The integration reduces manual tasks by auto-generating data-backed product requirements, allowing teams to focus on strategic work [4] - GitHub Copilot coding agent streamlines the development process by taking over from the Product Requirements Document (PRD) and preparing pull requests for review [4] Data-Driven Decision Making - The integration allows teams to track the impact of every feature post-release, enabling continuous learning and improvement based on real user responses [4] - Amplitude's Model Context Protocol (MCP) facilitates the embedding of product and customer data into GitHub Copilot workflows, enhancing AI agents' ability to make informed decisions [5] Company Background - Amplitude is recognized as a leading digital analytics platform, serving over 4,300 customers, including notable companies like Atlassian and NBCUniversal [7] - The company is positioned as a top analytics solution for product, data, and marketing teams, as evidenced by its ranking in G2's Fall 2025 Report [7]