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How HubSpot Scaled AI Adoption
How HubSpot scaled AI adoption in engineering, moving from cautious experimentation to universal usage, driving productivity and innovation through strategic investment and organizational commitment.
This started very simply with the sharing of Cursor rules files, but quickly evolved to more complex tools that gave agents deep context about our architecture, libraries, and best practices. Adapting procurement for speed: We knew we wanted to try every tool that came out, but our purchasing processes were designed for longer term negotiated agreements and we couldn't always count on a push from our founders to get things moving. Adoption was the beginning and opened the door to everything that followed: taking advantage of coding agents, creating Sidekick (our AI assistant that answers platform questions, creates issues, implements changes, and reviews PRs), developing a way to rapidly prototype UIs with our design system, and building infrastructure that led to 400+ tools that our agents can leverage across our internal, OpenAI, and Anthropic MCP servers.
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