See the AI coding tools and their level of usage by your engineering team. Track AI suggestions and acceptance rates across Cursor, Claude Code, GitHub Copilot and more, broken down by team and individual, so you know exactly where adoption is happening.
Go beyond adoption and see whether AI tools are actually improving how your teams work. See the impact of AI usage on PR cycle time, throughput and quality for AI users and non-AI users, so that you can tie your AI investment to real engineering outcomes.
See how AI adoption and impact compare across teams, identify where AI is driving the most value, and use that data to decide where to expand, where to course-correct, and how to make smarter decisions about AI across your organization.
