How to Build AI Features Fast with Spryker AI Foundation and AI Dev SDK

Описание: In this session, the Spryker product and engineering teams introduce the AI Foundation and the AI Dev SDK—two powerful tools designed to abstract the complexity of integrating Artificial Intelligence into your commerce projects.

Watch the full demo to learn how to leverage Spryker’s feature-agnostic AI core to manage credentials, log interactions, and switch between providers (OpenAI, Anthropic, Ollama, etc.) without rewriting code. We also showcase the AI Dev SDK, an MCP server-based toolset that helps developers debug OMS processes, query databases, and search documentation directly from their coding environment.

Key Topics Covered:

AI Foundation Overview: A centralized layer for managing AI complexity, interfaces, and security.

Multi-Provider Support: switching between OpenAI, Anthropic, AWS Bedrock, and local models like Ollama.

Structured Responses: How to force LLMs to return Spryker Transfer objects (DTOs) for easy parsing.

AI Dev SDK & MCP Server: Using the Model Context Protocol to connect AI agents to your local environment.

Live Demos: Debugging stuck orders in OMS, querying the database via natural language, and generating Cypress tests.

Future Roadmap: Upcoming features like Chat History (Redis) and AI-powered State Machines.

Resources:

Spryker Documentation: https://docs.spryker.com/docs/dg/dev/...
Spryker AI Foundation:https://docs.spryker.com/docs/dg/dev/...
Spryker Ai Dev SDK: https://docs.spryker.com/docs/dg/dev/...

Model Context Protocol (MCP) Info: [Insert Link]
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