AI as a force multiplier: How we accelerated platform as a product with Cursor & custom agents

Platform as a Product is an ambitious goal, but the gap between vision and delivery often comes down to capacity, context, and cycle time. In this session, the speakers share how AI tools changed the economics of platform engineering for them, with real case studies and measurable outcomes. They cover four areas:
• How Cursor reduced time to build for platform engineers
• How MCP servers enriched with organisational context, adoption guides, architecture decisions, and DevX tooling let engineers build with platform awareness baked in
• How Genie, their internal agent platform, gives instant access to platform engineering knowledge, cutting onboarding and support overhead
• How their PR Review Bot drove significant reductions in cycle time and review bottlenecks

Together, these are not just productivity tools. They represent a shift in how platform teams can scale. The session closes with honest lessons on what worked, what did not, and what it takes to move from AI-assisted engineering to AI-accelerated Platform as a Product.