Ai

In April, SAP published a new API Policy (v.4.2026a). If you run SAP integrations of any kind, like middleware, custom extensions, analytics pipelines, RPA, or anything with “AI agent” in the name, you have probably already had the uncomfortable conversation. Are we still allowed to do that, and can we safely start the next project this way? The honest answer is that nobody can fully answer that for you. That is the real problem. ...

Series note: This post is part of my AI ABAP development series. It reuses the legacy UI5 app from the SEGW to RAP migration demo, but this time the focus is only on the UI5 version upgrade problem. In the SEGW to RAP post I used a deliberately old freestyle UI5 app as migration material. It runs on SAPUI5 1.84.59 and contains many patterns that were normal in older projects: jQuery.sap.require, global formatters, synchronous bootstrap, Belize theme, older manifest versions, and a few small controller workarounds. ...

Series note: This post is part of my AI ABAP development series, where I go from AI development in general, to ABAP-specific problems, and then to ARC-1. In the first post of this series, I wrote more generally about how I use AI today, why context matters so much, and why I am still not fully convinced by the more maximalist agentic hype. Here I want to get more concrete. Because SAP development is not one thing, and that matters a lot for AI. ...

Series note: This post is part of my AI ABAP development series, where I go from AI development in general, to ABAP-specific problems, and then to ARC-1. When it comes to AI, I do not really think about magic. I think more about another colleague helping me out. Sometimes that means architecture. Sometimes implementation. Sometimes testing, review, CI/CD, or deployment. But this only works with trust, and trust needs communication. If I do not know something, I ask. If code looks strange, I ask. If tests fail, I ask. ...

If you are searching for SAP MCP Servers (Model Context Protocol), you quickly run into the same problem: Which SAP MCP servers exist (official and community), and what other SAP AI tooling should you know about? That is why I like this new repo: marianfoo/sap-ai-mcp-servers: SAP MCP Servers and SAP AI Skills list It is a curated list of SAP MCP servers, SAP AI skills, and adjacent developer tools. The README is structured as tables so you can scan by category, compare licenses, and see what is actively maintained. ...

Previous post (code generation benchmark): Benchmarking LLMs for ABAP Live benchmark results (old + new): abap-llm-benchmark.marianzeis.de In my first evaluation (based on the TH Köln benchmark paper), I extended the original setup with additional models and focused on a very concrete question: how well can LLMs generate ABAP code that actually compiles and passes ABAP Unit tests? I also tested SAP’s model ABAP-1, and it performed very poorly for code generation. To be fair: SAP also states this in the documentation. ABAP-1 is primarily meant for explaining ABAP code not for reliably generating full working implementations. ...

There is currently a huge hype around the new MCP (Model Context Protocol) servers. I’ve built one for SAP Docs, and there are excellent community projects like the ADT API MCP Server. These tools are fantastic for individual developers. You install them, connect them to your IDE or a local LLM, and suddenly your AI assistant knows about SAP. Architecture overview (in one picture) Before diving into the details, here is the high-level architecture I’m aiming for: ...

Live benchmark results: abap-llm-benchmark.marianzeis.de In a lot of SAP webcasts and webinars, especially around AI, the question comes up very early: which model are you using, and which one do you recommend? For CAP and UI5 the answer is usually pretty simple: use the current best model from Anthropic. If you add good context via MCP servers from the community or SAP, you are basically fine. There is just a lot of public knowledge available, and most of it is in JavaScript/TypeScript, which LLMs handle extremely well. ...