Description
Autodesk's Data Model APIs for AEC and MFG, along with Data Exchange GraphQL APIs, use GraphQL unlocking richer integrations, workflow automation, and AI-powered workflows. But GraphQL differs from REST in ways that quietly break production systems.
Our team has shipped analytics dashboards, workflow automation, Data Exchange workflows, and MCP servers letting AI agents query live design data. We've hit the pitfalls so you don't have to.
This session delivers production-proven patterns: query design for AEC/MFG Data Models and Data Exchanges, partial-success error handling, enterprise authentication, mutation patterns, and AI agent enablement via MCP. We also highlight the underutilized GraphQL capabilities in the User Profile API.
Real examples. Real lessons. Patterns that work from day one.
Key Learnings
- Learn how to design efficient GraphQL queries for AEC and MFG data models, avoiding pitfalls that break production integrations.
- Learn about applying GraphQL's partial-success error model and enterprise-scale authentication for robust, multi-tenant Autodesk Platform Services applications.
- Learn how to implement mutation patterns for Autodesk Platform Services Data Model writes and MCP servers that enable AI agents to query live design data.
- Learn how to use the User Profile API's GraphQL capabilities to build richer, user-aware integrations across the Autodesk platform.
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