SAP Unveils New AI-Driven Tools to Empower Developers
SAP has made significant strides in enhancing its development ecosystem with the introduction of new AI-driven capabilities, an expanding data ecosystem, and powerful Joule Agents. These advancements are designed to enable developers to move from idea to impact at an unprecedented speed and with greater confidence.
As AI continues to reshape professional work, SAP has committed to equipping 12 million people globally with AI-ready skills by 2030. This initiative underscores SAP’s dedication to fostering a workforce that is prepared for the future of technology.
“SAP’s announcements today give developers the tools they need to deliver at the speed of AI,” said Muhammad Alam, member of the Executive Board of SAP SE. “Innovations across SAP’s unique flywheel of applications, data and AI put developers in the driver’s seat — where they belong.”
SAP Build: A New Era of Application Development
SAP Build, the company’s flagship solution for enterprise application development and automation, now offers developers more freedom to build, extend, and automate using their preferred tools. For instance, developers who favor 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 within their development environment through a new SAP Build extension. This extension will also be available later on Open VSX Registry for other development environments.
SAP and n8n have announced plans for an integration that will allow Joule Studio agents and n8n agents to work together. Additionally, with new agent-building capabilities in Joule Studio, developers have the tools needed to extend SAP’s ready-to-use agents and build new agents grounded in SAP business data and context. These agents can act autonomously based on changing business conditions.
Expanding Data Ecosystems for Developers
Every intelligent application starts with trusted data. SAP is giving developers more ways to utilize this data through SAP Business Data Cloud. The solution now connects with more of the data and AI platforms that developers use daily.
A new SAP Snowflake solution extension for SAP Business Data Cloud brings Snowflake’s fully managed data and AI capabilities directly to SAP customers. This allows them to choose the right compute and storage for each data and AI workload while maintaining governance, interoperability, and business context.
SAP has also announced a new SAP Business Data Cloud Connect partnership with Snowflake. This complements existing integrations with Databricks and Google Cloud, offering developers more flexibility in how they work with SAP data.
With a new data product studio capability in SAP Business Data Cloud, developers can transform 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 feature maps relationships across SAP database tables, columns, and data models, revealing how data fits together and why it matters. Developers will be able to see how their data connects across systems and uncover underlying business insights.
Evolving AI Portfolio for Intelligent Applications
SAP is evolving its AI portfolio to provide developers with the intelligence and orchestration power needed 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 such as delivery delays, payment risk, or sales order completion.
SAP launched a free playground environment for developers today. New AI assistants in Joule coordinate multiple agents across workflows, departments, and applications, bringing automation and autonomy to life. These assistants plan, initiate, and complete complex tasks spanning finance, supply chain, HR, and beyond.
Today, SAP introduces new agents built for technical users. For example, an agent for business process analysis will help teams understand how processes run, identify inefficiencies, and uncover opportunities to optimize workflows and drive measurable improvements.
Commitment to AI Education and Skills Development
Lastly, as AI changes the nature of work for everyone, SAP is pledging to equip 12 million people worldwide with AI-ready skills by 2030. SAP will expand hands-on training and certification programs that integrate practical AI-ready tools, including through its partnership with online learning platform Coursera.