Innovations include a new collaboration with Snowflake equipped developers
At this month’s SAP TechEd 2025, SAP SE brought AI deep into the development process to level up how developers build. New AI-driven capabilities in the SAP Build solution, an expanding data ecosystem and powerful Joule Agents empower developers to move from idea to impact with unprecedented speed and confidence.
As AI transforms the nature of professional work, SAP also pledges to equip 12mn people worldwide with AI-ready skills by 2030.
“SAP’s announcements give developers the tools they need to deliver at the speed of AI,” stated Muhammad Alam, Member of the Executive Board, SAP SE. “Innovations across SAP’s unique flywheel of applications, data and AI put developers in the drivers’ seat, where they belong,” he added.
Developer ecosystem
SAP Build, the company’s flagship solution for enterprise application development and automation, now gives developers more freedom to build, extend, and automate using the tools they love most.
For instance, developers who prefer agentic development solutions like Cursor, Claude Code, Cline, and Windsurf can now use SAP development frameworks with new SAP Build local Model Context Protocol Servers. Visual Studio Code users will be able to access SAP Build capabilities directly in their development environment with a new SAP Build extension.
And with new agent building capabilities in Joule Studio, developers have the tools they need to extend SAP’s ready-to-use agents and build new agents grounded in SAP business data and context that can act autonomously based on changing business conditions.
Putting data to work
Every intelligent application starts with trusted data. SAP is giving developers more ways to put that data to work through SAP Business Data Cloud.
The solution now connects with more of the data and AI platforms developers use every day. A new SAP Snowflake solution extension for SAP Business Data Cloud brings Snowflake’s fully managed data and AI capabilities directly to SAP customers, giving them the flexibility to choose the right computer and storage for each data and AI workload, while maintaining governance, interoperability and business context.
With a new data product studio capability in SAP Business Data Cloud, developers can turn raw data into ready-to-use assets known as data products that support analytics, AI and application development.
An expanded capability in the SAP HANA Cloud knowledge graph engine can automatically generate knowledge graphs. This capability maps relationships across SAP database tables, columns, and data models, revealing how data fits together and why it matters.
Bringing AI autonomy to life
SAP is evolving its AI portfolio to give developers the intelligence and orchestration power they need to take AI from insight to action.
SAP introduced its first enterprise relational foundation model, a new class of AI that predicts business outcomes rather than the next word in a sentence. SAP-RPT-1, or the first-generation Relational Pre-trained Transformer, can make fast and accurate predictions for common business scenarios like delivery delays, payment risk, or sales order completion.
SAP has also launched a free playground environment for developers. Through its partnership with online learning platform Coursera, SAP will expand hands-on training and certification programs that integrate practical AI-ready tools, making AI more accessible to people everywhere, a press.
