NewSAP Business Technology Platform, also named SAP Business AI Platform

Today
51 changes
BASEnvSyncadded to the atlasCarries home-directory dotfiles from one BAS dev space to anotherIDE extension,
HANA SQL NOTEBOOKS in SAP BUILD / Business Application Studio(BAS) / Visual Studio CodepublishedWalks through SAP HANA SQL Notebooks, a .notebook file opened inside a dev space of SAP Business Application Studio (also reached from SAP Build and Visual Studio Code), that mixes CODE and MARKDOWN blocks and needs the project's mta and hana facets added first with cds add. A CODE block's connection-management mode uses a '#' syntax to list, select and show the active SAP HANA connection, drawn from the HANA Database Explorer's saved connections or the project's own Cloud Foundry connection, so any valid SQL statement can then run against the project's HDI container.Blog,
Joule Studioがリリースされたので早速CAPアプリを自然言語で操作するカスタムスキルを構築してみたpublishedA walkthrough of building a custom Joule Studio skill on a CAP bookshop app: cds add sample and cds add mta scaffold the project and its deployment descriptor, cds compile srv/ --to xsuaa generates the role template behind the @requires: 'admin' check on AdminService from the SAP Authorization and Trust Management service (XSUAA), and mbt build packages the app for deployment to the SAP BTP, Cloud Foundry Runtime. The skill reaches the deployed OData API through the SAP Destination service, configured with the OAuth2 Client Credentials grant using the client ID, secret and token endpoint from the app's XSUAA service key, so Joule answers a natural-language question about a book by its ID.Blog,
Receive Events from Event Mesh of Integration Suite to CAP Node.js ApplicationspublishedWalks a CAP Node.js application through consuming events from SAP Integration Suite, Event Mesh: adding the messaging and xsuaa services with cds add, writing messaging.on handlers for named topics, and building and deploying the service as an MTA to Cloud Foundry. Documents a mismatch between Cloud Foundry's automatic queue provisioning and Event Mesh's management API, worked around by pointing the service key's management URI at a mock endpoint that always returns 201.Blog,
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Bryan Thompsonadded to the atlasPerson,
Robin van het Hofadded to the atlasPerson,
Account provisioningcore coverage revisedReassessed against the graph (check:capabilities): a newer independent provider covers access assignments, a kind the text did not name. State unchanged.Capability,
Agent access to your codecoverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): removed the tool count and the two absence claims about who has built something.Capability,
Agent evalscore coverage, coverage by ecosystem revisedReassessed against the graph (check:capabilities): albertmink-agentic-abap-evals, an independent set of ABAP tasks and a grader for coding agents, was entered after the block was written; the count is dropped and the second kind named. State unchanged.Capability,
Agent guidancecoverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): docs/WRITING.md §3 rules out provider counts and absence claims in every capability field.Capability,
Agent toolingcore coverage, coverage by flavor, coverage by ecosystem revisedReassessed against the graph (check:capabilities): sap-joule-studio and sap-joule, both sap-official, now provide this capability behind the BTP door, so the note's claim about every entry no longer held. The state stays core-only: no provider of another origin counts for the door.Capability,
Agent workspacescore coverage revisedReassessed against the graph (check:capabilities): Joule Work is a sap-official provider serving BTP, so the core is present; the note's absence claim is dropped.Capability,
App hostingcore coverage, coverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): removed the absence claim about ui5 artifacts.Capability,
Attachmentscoverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): drops a count-like contrast with a plugin the flavor does not have.Capability,
Audit loggingcoverage by ecosystem revisedReassessed against the graph (check:capabilities): the note counted providers, said every provider is a service although a SAP-published practice for HANA audit policies now sits behind the door, and carried a typo. The state stays core-only: that practice is sap-official and no provider of another origin counts for the door.Capability,
Authenticationcoverage by ecosystem revisedReassessed against the graph (check:capabilities): no community artifact on the UI5 door provides this capability by an edge; the middlewares the text named provide ui5-build-tooling, and the only sample on the door is not a presence. what_core_does stays, so the core remains present.Capability,
Authorizationcoverage by ecosystem revisedReassessed against the graph (check:capabilities): the note claimed every provider behind the door is an SAP service, a statement about the corpus that goes stale, and did not name the fresh btp-oauth provider. Coverage state unchanged: only SAP-official services count behind this door.Capability,
Cataloguing and lineagecore coverage revisedReassessed against the graph (check:capabilities): a newer community server publishes Delta shares as data products in Business Data Cloud, a kind the text did not name.Capability,
Certificate managementcore coverage, coverage by ecosystem revisedReassessed against the graph (check:capabilities): the note was an absence claim about providers; the new SAP provider btp-custom-domain is sap-official, so core-only still holds.Capability,
Change promotioncore coverage, id, ecosystems, name revisedPublic feedback issue #9. The ABAP name is kept in framing_by_ecosystem.abap; the default name and description now state the cross-door concern.Capability,
Consumption monitoringcore coverage revisedReassessed against the graph (check:capabilities): the note counted repositories, and the service that the core sentence names is now an artifact in the graph, so it is linked. State stays core-only.Capability,
Database connectorscoverage by ecosystem revisedReassessed against the graph (check:capabilities): the note counted one entry behind the door; it now names the driver and SAP HANA, which now provides the capability on this door. State unchanged.Capability,
Deploymentcoverage by ecosystem revisedReassessed against the graph (check:capabilities): SAP's BTP services now provide this capability behind the door, so the note's count-like absence of providers no longer holds. The state stays core-only: the providers are SAP-official and none comes from the community.Capability,
Destinationscoverage by ecosystem revisedReassessed against the graph (check:capabilities): the entry is in the graph, so the name links to it and not to its repository (WRITING section 3.6).Capability,
Document extractioncoverage by ecosystem revisedReassessed against the graph (check:capabilities): removed the provider-count and absence claims (docs/WRITING.md §3); the states are unchanged.Capability,
Document outputcoverage by ecosystem revisedReassessed against the graph (check:capabilities): the service is a provider on this door and the text named it without the link. Wording otherwise unchanged; the state stays core-only.Capability,
Documentationcore coverage, coverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): absence claims about providers go stale as providers arrive. The flavor states are unchanged.Capability,
Editor supportcore coverage, coverage by ecosystem revisedReassessed against the graph (check:capabilities): the providers behind the UI5 door are SAP's (UI5 Language Assistant, and SAP Build Code and SAP Web IDE Full-Stack, which serve ui5). The community SAPUI5 Extension is an entry in the graph but has no provides edge to this capability.Capability,
Event Meshcoverage by ecosystem revisedReassessed against the graph (check:capabilities): the note made a claim about every provider and named none, and the SAP services that arrived since the block was assessed (Advanced Event Mesh, the Integration Suite event broker, Cloud Application Event Hub) shape the answer. The state stays core-only, since every provider counting for the door is sap-official.Capability,
Identity provisioningcore coverage revisedReassessed against the graph (check:capabilities): the note claimed every repository behind the entry is a sample, which stopped being true when the SAP-official service entry arrived. State stays core-only.Capability,
Launchpad and site contentcoverage by ecosystem revisedReassessed against the graph (check:capabilities): the note claimed that no community artifact exists, which no longer holds; it now names the kinds the SAP service and the community package add.Capability,
Launchpad pluginscore coverage, coverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): removed an absence claim and a count of providers (WRITING §3); the flavor states are unchanged.Capability,
LLM integrationcoverage by ecosystem, core coverage, coverage by flavor revisedReassessed against the graph (check:capabilities): the note claimed who provides the capability behind this flavor, which moves with the corpus. The flavor state is unchanged.Capability,
Loading a warehousecore coverage, coverage by ecosystem revisedReassessed against the graph (check:capabilities): ERPL is a provider the text never named, and it loads from ABAP systems outside BW routines. State unchanged.Capability,
Localizationcoverage by ecosystem revisedReassessed against the graph (check:capabilities): providers arrived after the block was last looked at, an XLIFF editor and an MCP server among them, and the text named none of the kinds.Capability,
Loggingcoverage by ecosystem revisedReassessed against the graph (check:capabilities): the state is now community-only and the block needed to say what the community adds.Capability,
Mobile appscore coverage revisedReassessed against the graph (check:capabilities): the note explained a state the providers contradict and counted collections.Capability,
Operations automationcore coverage revisedReassessed against the graph (check:capabilities): removed a count of repositories and named the kinds of newer providers, which are SAP-official BTP services and leave the state core-only.Capability,
Platform migrationcore coverage revisedReassessed against the graph (check:capabilities): a partner artifact serving the BTP door provides this capability, which the core-only state contradicted. The core stays, since what_core_does is sourced.Capability,
Predictive modelscore coverage revisedReassessed against the graph (check:capabilities): the note explained the state by the batch it was written from and counted repositories; it now names the kinds of SAP service that have since arrived. The state stays core-only: both are sap-official services on the btp door.Capability,
Process automationcore coverage revisedReassessed against the graph (check:capabilities): a rule-based SAP service for S/4HANA situations joined the providers and changes the shape of the answer. State stays core-only.Capability,
Prompt managementcoverage by ecosystem, core coverage revisedReassessed against the graph (check:capabilities): the note was a claim about who provides, which the option list derives.Capability,
Rate limitingcore coverage revisedReassessed against the graph (check:capabilities): API Management, an SAP-official service on the BTP door, lists CAP in serves_ecosystems and provides this capability, so the core is present for CAP beside the in-process community plugins. The relationship stays unassessed for lack of documentary evidence on the history.Capability,
Retrieval-augmented generationcoverage by ecosystem, core coverage revisedReassessed against the graph (check:capabilities): a CAP-door provider reaches Document Grounding through the LangChain vector store interface, a shape the two plugins do not cover.Capability,
RFC connectivitycore coverage, coverage by ecosystem revisedReassessed against the graph (check:capabilities): erpl-node-rfc, pyrfc-mcp, rfc-connector and Cloud Connector reached this door after the block was written and change its shape from callee only to callee and caller.Capability,
Secrets rotationcoverage by ecosystem revisedReassessed against the graph (check:capabilities): SAP Credential Store is sap-official and lists cap in serves_ecosystems, so SAP is present for CAP.Capability,
Serve your application over MCPcoverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): the note counted providers, and sap-security-mcp no longer provides this capability. The unmapped state is unchanged.Capability,
Task and approval UIscoverage by ecosystem revisedReassessed against the graph (check:capabilities): SAP Task Center (btp-task-center, sap-official) lists ui5 in serves_ecosystems, so the UI5 door has an SAP-official presence; the note also made an absence claim about the graph.Capability,
Telemetrycoverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): removes a universal claim about the providers that goes stale as they arrive.Capability,
Tool governancedescription, core coverage, coverage by ecosystem, framing by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): a count of providers removed.Capability,
Vulnerability scanningecosystems, description revisedPublic feedback issue #10. CAP and UI5 coverage assessed as unmapped: no atlas artifact provides the dependency-tree check there yet.Capability,
Yesterday
2 changes
SAP CAP With Prostgres Serice in BTPpublishedA step-by-step walkthrough of a CAP bookshop project on @cap-js/postgres, provisioning PostgreSQL on SAP BTP, hyperscaler option's trial plan through mta.yaml, building the MTA archive and deploying it to Cloud Foundry by hand, then inspecting the deployed database with pgAdmin over an SSH tunnel. It updates an earlier post by Mike Zaschka on the same topic to the package CAP now ships by default, though the manual build-and-deploy sequence it shows predates cds up folding those steps into one command by a day.Blog,
Agent access to your codecoverage by ecosystem revisedRewritten at the maintainer's request (2026-10-25): what SAP ships named whole, and what the community adds written from what its ABAP MCP servers state about how they run, connect and sign in.Capability,
Sat 24
208 changes
btp-agentadded to the atlasLangGraph agent and UI5 chat screen over four BTP MCP serversSample,
Edge Integration Cell : Design, deploy and manage APIspublishedWalks through creating an API artifact in API Management on the customer-managed Edge Integration Cell runtime, including the option to generate the artifact by importing an OpenAPI specification rather than from a URL or by hand. It then attaches an Authentication policy and a Quota step capped at four calls per minute, deploys, and shows both the resulting 401 and the quota-breach error in the Monitor logs. The author frames it as the first of a series on Edge Integration Cell's policies.Blog,
Message Mapping in SAP Integration Suite - Custom Scripts and Conditional MappingpublishedWalks through two ways to extend a message mapping step in SAP Integration Suite's Cloud Integration: a custom Groovy function added in the Mapping Expression editor's Scripts section, and a graphical equals/if node pair built from the standard function library, each suited to logic the other cannot express cleanly. Shows the Simulate tool's Generate button building a test payload from the source structure, then editing individual field values to exercise both the true and false branch of a condition before deployment.Blog,
SAP-samples/hana-cli-claude-pluginadded to the atlasClaude Code plugin registering hana-cli's MCP serverMCP server,
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Using BTP Document Extraction Service into actual App developmentpublishedWalks through calling SAP Document AI's REST API directly: getting a client-credentials bearer token from the service key's UAA, then POSTing to /document/jobs with a file and an options body naming the document type and the header fields and line items to extract (paymentTerms, documentDate, taxId, description for an invoice), and polling the returned job id until the status resolves. Covers the trial-account booster and its own UI for uploading a document and testing extraction before moving to Postman and a small Python script that lists jobs over the same bearer token.Blog,
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SAP HANA Cloudprovides revisedThe capability was added on 2026-10-24 for administering a database instance; SAP HANA Cloud ships its administration tools, so it is the core answer on BTP.Service,
SAP-samples/hana-developer-cli-tool-exampleprovides, serves ecosystems, domain, provides revisedIts performance analysis, privilege grants and backup and recovery commands had no capability to sit under; Database administration was added for them the same day.CLI,
Fri 23
9 changes
🚀 秒速で学ぶ SAP AI Core Agent 開発 🚀 - Part 8 CloudFoundry にデプロイpublishedPart 8 of a Japanese-language series deploys the Python backend and SAPUI5 chat UI built in earlier parts to SAP BTP, Cloud Foundry Runtime: the backend's manifest.yaml declares its buildpack, memory and start command for cf push, while the UI's MTA project is built with mbt build and uploaded with cf deploy, then has its ENDPOINT constant repointed at the live API's route. It closes with adding the deployed HTML5 app to SAP Build Work Zone, standard edition through Channel Manager's content sync, Content Explorer and a new Site Directory site.Blog,
Cloud Integration with Document AIpublishedWalks through connecting Cloud Integration to SAP Document AI: an iFlow posts a prescription PDF to Document AI's job API, polls the job endpoint until it completes, and a groovy script reads back the result, keeping only the fields above a stated 60% confidence threshold. The scenario is a hospital extracting a new patient's past illnesses, allergies and blood group from uploaded prescriptions, matched against a custom extraction schema.Blog,
Expose RFCs as MCP Tools in Integration SuitepublishedWalks through creating an MCP server in SAP Integration Suite from an RFC source: an on-premise RFC destination labelled for Integration Cell inclusion, a search over the backend's function modules (minimum seven characters), and up to 50 selected modules each becoming a tool. Covers the resulting server's configuration (Source, Tools and Prompts, with no Resources section for this source) and the two scopes an RFC-based server's policy adds beyond an API-sourced one, API.invoke and ESBMessaging.send, plus the RFC receiver adapter used at runtime. Demonstrates the flow with a purchase-order scenario where an AI client calls BAPI_PO_CREATE1 and BAPI_PO_GETDETAIL1 as MCP tools.Blog,
BTP MCP Serverserves ecosystems revisedThe tag came in with the entry on 2026-09-10 and nothing sourced it: the README names BTP Core Services and the proxy it runs on, never CAP. It read as a routing leftover from when the MCP servers capability lived on the CAP door; the entry stays on BTP, its home.MCP server,
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hana-mcp-serverserves ecosystems revisedThe tag came in with the entry on 2026-09-10 and nothing sourced it: the README names HANA and no CAP stack. Removed with the other unsourced tags from that sweep; the entry stays on BTP, its home.MCP server,
odata-mcp-proxyserves ecosystems revisedThe tag came in with the entry on 2026-09-10 and nothing sourced it: the README describes a config-driven proxy on BTP Cloud Foundry and names no CAP stack. Removed with its sibling configs; the entry stays on BTP, its home.MCP server,
SAP Analytics Cloudlinks revisedSAP moved the What's New entries for SAP Business Data Cloud, SAP Datasphere and SAP Analytics Cloud to the Business Data Cloud feed; the old BTP feed had stopped carrying them.Service,
SAP Business Data Cloudlinks revisedSAP publishes the What's New entries for SAP Business Data Cloud on its own feed; the entry linked none before.Service,
SAP Dataspherelinks revisedSAP moved the What's New entries for SAP Business Data Cloud, SAP Datasphere and SAP Analytics Cloud to the Business Data Cloud feed; the old BTP feed had stopped carrying them.Service,
Thu 22
1 change
scecadded to the atlasDocker Compose IoT edge stack that connects to SAP BTPSample,
Tue 20
23 changes
Completing the B2B migration into SAP Integration Suite visionpublishedWalks through migrating SAP PI's B2B integrations — EDIFACT, X12 and other partner formats — into Trading Partner Management in SAP Integration Suite: recording test messages from SAP PI, creating partner profiles, and filling a Self Partner Agreement template that references the MIG and MAG guidelines SAP's own migration path builds on. The author's migration tool, Figaf, turns each Operation Mapping into a Process Direct flow, carrying its UDFs to Groovy or SAP's Cloud Integration Function Libraries, then reruns the recorded test cases against the result.Blog,
Developing Mobile Apps with SAP BuildpublishedA tutorial that builds a cross-platform mobile app with the Mobile Development Kit on top of the CAP-based data service from the author's earlier posts, using the mobile Dev Space in SAP Business Application Studio to configure and deploy the app to SAP Mobile Services. It sets up the mobile destination against SAP Destination service two ways — reusing the BTP destination already created for the CAP service, or an Internet Destination with OAuth2 User Token Exchange and a manually retrieved client secret — and turns on Cross Context SSO so a token issued in the browser carries into the generic SAP Mobile Services Client app on the phone.Blog,
What an AI infra engineer sees when opening SAP's AI stack (1/3): the model gatewaypublishedA first look at SAP AI Core's Generative AI Hub from someone who builds gateways outside SAP for a living: the orchestration service harmonizes provider calls onto one API (a model name string switches providers, and SAP Note 3437766 carries the current model list, token rates and deprecation dates), runs a fixed, non-reorderable module pipeline — templating, masking through SAP Data Privacy Integration, grounding, content filtering, then the model call — and retries down an ordered fallback list whose entries can each carry their own model and rules. It places @sap-ai-sdk/orchestration among the official JavaScript, Java and Python SDKs, and notes SAP's own LiteLLM provider as a way to put a different gateway in front of it.Blog,
abhijeetjangamadded to the atlasPerson,
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🔴 Your Agent Wants to Call SAP. Now What?publishedDevtoberfest 2026 session INT-23, on what belongs between an agent and an SAP system. A solution advisor and an enterprise architect point Joule Desktop extensions at MCP servers built on API Management inside SAP Integration Suite, and ask it for business partners, orders and line items from an S/4HANA demo system; asked for the ten largest customers it answers from a sample of 200 orders rather than reading the whole table. They then open the API proxy behind it, where a spike arrest policy caps the backend at ten calls per second and the MCP server is configured to expose only the GET resources of the business-partner API so that an agent cannot create one, which is where the edges to Serve your application over MCP and Rate limiting hold. For totals across all sales orders they send the agent to SAP Business Data Cloud instead of the transactional system, since it aggregates and is read-only, and back through Integration Suite for writes such as journal entries.Talk,
🟣 AI Eating Brains! How I Fed Mine to Joule Work DesktoppublishedDevtoberfest 2026 session AI-22. Mathias Kemeter connects his Obsidian note vault to Joule Work Desktop with VaultGate, a local HTTP MCP server he wrote in his spare time because the desktop's sandbox accepts HTTP MCP servers and not stdio ones, and because he wanted the vault reached through Obsidian's own command line rather than by direct file access. The demo builds a Space of management tasks from notes and mailbox together, has the assistant pick up a conventions file in the vault without being told where the reporting rules are, finds a conflict the notes never name by semantic search over local embeddings, and appends a task to a sprint note behind a write confirmation, which is where the edges to Joule Work and Agent workspaces hold. The second half is about the guardrails he had AI choose for the project it then had to live inside: tests and coverage, type safety, static checks, dependency and secret scanning, blocking on commit, on push and in CI.Talk,
🟣 Bring AI into Your ABAP Applications with ISLM: Build, Integrate, and Consume AI NativelypublishedDevtoberfest 2026 session AI-11, from the product manager and product owner of Intelligent Scenario Lifecycle Management: ISLM as the place an AI use case is registered, deployed and operated inside an SAP S/4HANA system, and what has been added to it for generative AI. The demo builds a custom scenario end to end — an intelligent scenario of type generative AI, a connection to SAP AI Core, a GPT-5 mini model, an orchestration flow template that configures data masking, input and output filtering and translation into the user's logged-in language, then prompts with a grounding query over five companies' return-policy documents — and consumes it from an ABAP report through the ABAP AI SDK, which calls the orchestration API and returns the summary as JSON. Two newer pieces follow: SAP RPT, the relational pre-trained transformer for tabular prediction, called with context rows and query rows and answering with a confidence value and no training step; and system-triggered agents, where an application job in the ABAP system starts a billing-creation agent that reaches S/4HANA OData APIs as tools through the agent gateway with principal propagation. The closing availability matrix states the generative AI capabilities for on-premise and private cloud from the 2021 release, with SAP notes to implement on lower ones.Talk,
🟣 Enable Your AI application to Run on Multiple Models to Ensure Resilience and CompliancepublishedDevtoberfest 2026 session AI-21. A cross product owner on the SAP AI Core team gives the reasons an AI application ends up on more than one model — a model down at the hyperscaler, a data centre that is not allowed to run it, a version being deprecated — and runs a joke app that answers from Gemini 2.5 Flash in EU10 and from Claude 4.5 Haiku in Asia-Pacific. The walk through AI Core's parts is where the edges hold: prompts kept as templates in the prompt registry, imported through the launchpad and the APIs or synced as YAML from a git repository (Prompt management); the evaluation service scoring one prompt across up to four models per run on built-in or model-as-judge metrics, and the prompt optimizer generating variants against one metric (Agent evals); and the orchestration service harmonising the providers behind one message format with a priority-sorted fallback list (LLM integration). The session also states where a metric has to be designed rather than picked: an exact-JSON match scores an email generator at zero, so the joke app's custom metric judges topic and family-appropriateness instead.Talk,
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Achieve Agentic Enterprise Automation with SAP Integration Suite and Joule StudiopublishedA Devtoberfest 2026 integration-track session (INT-22), the second of that week's integration sessions, given by an SAP product expert for process automation and integration together with the product manager for Joule Studio, who walks the audience through it. The opening states the subject: process management, automation and orchestration unified into one combined approach, which the presenters put forward as the foundation for building custom AI agents.Talk,
AI-assisted SAP development with MCPpublishedA Devtoberfest 2026 session (UI-41) that traces AI-assisted SAP development from pasting code into a chat window to coding agents with built-in connectors, and sorts the MCP servers around SAP development into SAP's own, the community's and the hosted ones, where the agent cannot change what the server allows. Four demos follow: GitHub Copilot alone explaining an ABAP report from a Git repository, @ui5/mcp-server reading an OpenUI5 sample app and converting it to TypeScript, mcp-sap-docs grounding Terraform files for a BTP subaccount the presenter had not written before, and arc-1 with Copilot in Eclipse tracing why a title longer than 40 characters is rejected and proposing the DDIC-allowed length instead. It ends on a skill that migrates an SAP Gateway project on an ECC system to RAP on S/4HANA step by step, and on a rule Marian Zeis gives for servers written for internal use: keep them read-only, because what the agent is short of is context.Talk,
Be the First to Understand Joule Work's Agentic ThinkingpublishedA Devtoberfest 2026 session on the agent harness behind agentic thinking in Joule Work: generic operating-system tools in a gVisor-isolated sandbox instead of hand-wired domain functions, a react loop, a warm pool of sandboxes torn down after each task, tenant-separated skill loading, and placeholder tokens the agent never sees swapped for real credentials at the egress path. A skill is a folder with a SKILL.md carrying metadata and instructions, and where it reaches a system, an SAP connectivity JSON that declares each connector by ORD ID with its guardrails — GET allowed by default, POST, PUT, PATCH and DELETE requiring human approval, everything else blocked. The demo uploads a cost-centre skill through the skills view, then has agentic thinking delegate over A2A through Agent Gateway to a custom agent built in Joule Studio, whose MCP tools read cost centres from an S/4HANA Cloud system, and ends by turning the result into a PDF; the Joule Studio trace is what shows the tool call actually happened.Talk,
Bridging Python and SAP HANA: Inside the sqlalchemy-hana Open-Source DialectpublishedA Devtoberfest 2026 data-track session (DAT-21) in which one of the maintainers of sqlalchemy-hana, the open-source SQLAlchemy dialect published in SAP's GitHub organisation, opens up what sits between Python and SAP HANA. It walks the five dialect classes that render statements, types, DDL, identifiers and sequences, and the HANA specifics they absorb: the FROM DUMMY a bare SELECT needs, a limit injected when only an offset is given, string compiled to NVARCHAR, and quoted case-sensitive identifiers against Python's lowercase. The rest covers schema migrations with Alembic on HANA's transactional DDL, the recently added async support and vector types, and that HANA Cloud and HANA 2 are supported while HANA 1 is not.Talk,
Bring "developers.sap.com" Into Your Dev Environment: SAP Developer Context for AI Coding AgentspublishedDevtoberfest 2026 session FA-11: a tour of the rebuilt developers.sap.com by the team that runs it, from the administration screens behind the home page to the agent interfaces in front of it. The site is a CAP application on SAP HANA Cloud and SAP BTP, open-sourced in full, and the half of the session that places it here is how its content reaches an agent: every tutorial is also served as markdown, a coding agent is detected and given that version instead of the HTML, a well-known agent card advertises what the site offers, and SAP Developers MCP answers questions about tutorials, news and a reader's own completion history in Claude Code and Joule Desktop, over OAuth or a personal access token. Behind the answers sit two things working together: a knowledge graph in the HANA database over 1400 tutorials and 11,000 concepts, and SAP AI Core for the Joule interactions and the embeddings, with the agent harness written for the site rather than taken off a shelf. Where neither MCP nor A2A is available, the same content is published as skills.Talk,
Building Agentic Workflows with n8n in Joule StudiopublishedA Devtoberfest 2026 session, JS-31, on SAP-managed n8n inside Joule Studio, shown as a labs preview on a blocked-invoice scenario: a solution made of assets, an intent refined by the web agent into requirements and then a specification, and the generated workflow opened in the n8n editor that Joule Studio connects to its own n8n tenant, with the generated files committed through GitHub. The nodes carry the other edges — the human-in-the-loop node is built on SAP Task Center, and SAP AI Core is where model providers are configured centrally instead of per developer. It ends in Joule chat, where the approval task the workflow created is listed, opened and completed.Talk,
Building Code-Based AI Agents on the BAIPpublishedA Devtoberfest 2026 session on writing the agent yourself rather than configuring one, which is the agent tooling edge: an agent is a model with tools, skills, memory and context around it, and the session reads the code of one built in CAP as a LangGraph state graph, with an agent node that calls the model, a tools node holding the MCP clients, and the edge between them looping until no tool is needed. It then shows the shorter route, a CDS service annotated for the agent protocol with its instructions and skills in an agent.md file. SAP AI Core carries both, with the CAP service in front of it as middleware so the credentials never reach the browser, and that is what cap-agent-ui5-webui is demonstrated against: added as a dependency, it gives the annotated service a UI5 chat interface that can be deployed rather than only previewed. A Python multi-agent application on Cloud Foundry, where an orchestrator delegates to per-stack specialists so no single model sees every tool, closes the session.Talk,
Building your knowledge graph on SAP HANA CloudpublishedDevtoberfest 2026 session DAT-11, in which two enterprise architects explain what a knowledge graph is and then build one on SAP HANA Cloud. The first half sets the join across three relational tables against an ontology of classes and predicates, the subject-predicate-object triple written as a turtle file, and a SPARQL query over it, and argues that the chain of relationships is what makes a recommendation traceable back to its reasons. The demo, taken from a Discovery Center mission, curates the ontology and the RDF files for an accounts receivable scenario in VS Code, ingests the triples into HANA Cloud with SQL and walks the resulting graph outward from a customer; that is the graph, spatial and document data edge. It closes by separating three things that share the name: the HANA Cloud knowledge graph engine, SAP Knowledge Graph as the data, and the knowledge graph in SAP Business Data Cloud.Talk,
Combining AI Agents with the power of SAP HANA embedded ML (part 1)publishedDevtoberfest 2026 session DAT-12, the first of two parts, in which Vitaliy Rudnytskiy does a data scientist's work against the embedded machine learning of SAP HANA Cloud by talking to an agent. The session first takes an agent apart into its LLM, its tools, its memory and the loop between them, then stacks the Predictive Analysis Library under the hana-ml Python wrapper and that under the HANA AI toolkit, whose tools an agent calls from plain English in a notebook to preview a sales refunds table, split it into train and predict tables, run a time-series check and train an AutoML forecast, keeping what it decided in Markdown memory files. That is the agent tooling edge; the same toolkit is then started as an MCP server over stdio and over streamable HTTP and reached from a coding agent and from Joule Work's desktop, which is where the live demo partly fails and the failure is shown.Talk,
Data Product Governance in SAP Business Data CloudpublishedA Devtoberfest 2026 data-track session (DAT-41) on data product governance in SAP Business Data Cloud, released as an MVP: every data product belongs to a domain, a consumer puts one in a cart and raises an access request with a purpose, a target location and acknowledged terms and conditions, and a data steward's approval becomes an access agreement recording who uses which data product where. The demo runs both sides in the BDC cockpit — domains, access management and data product management for the steward, catalog, cart and request for the consumer, with Databricks as the target workspace — and that is what the Cataloguing and lineage edge rests on. It also states the current limits: one default domain until custom domains and subdomains arrive, auto-approved requests for space copies, transports and intelligent content, stewards who cannot yet revoke an active agreement, and an install step still done by hand after approval.Talk,
Edge Integration Cell - what's new?publishedA Devtoberfest 2026 integration-track session (INT-41) on Edge Integration Cell, the runtime of SAP Integration Suite a customer runs on their own Kubernetes cluster while design, configuration and monitoring stay in the cloud tenant. It names what the customer has to provide — a supported Kubernetes platform, SAP HANA or PostgreSQL, Redis or Valkey as data store, a load balancer — then the Edge Lifecycle Management cockpit with its monthly rolling updates, the inbuilt and the external Cloud Connector options and why a DMZ placement calls for the second, and the adapters available only on Edge: RFC sender, NFS, OFTP2 and UNF. The demo deploys an OFTP-to-file flow to the Edge runtime and shows the same flow rejected when its runtime profile is switched to cloud, which is where the Integration flows edge holds.Talk,
Event Add-On for ERP: All you need to know about the new Event StudiopublishedA Devtoberfest 2026 integration-track session (INT-43) on Event Studio, the browser-based part of the Event Add-On for ERP that defines events in an S/4HANA or ECC backend without code and sends them to a broker. A custom sales-order event is built live — fields picked into a payload that is published as a CDS view entity, a trigger on a classic business object, a static topic — and arrives in a queue on SAP Integration Suite, advanced event mesh, which is where the Event Mesh edge holds. The rest of the demo covers health and exception monitoring in SAP Cloud ALM, the AsyncAPI definition replicated to Event Portal, and the AI assistant and MCP server now inside Event Studio.Talk,
From APIs to Agent Tools: How MCP Gateway changes what Integration meanspublishedThe opening session of the Devtoberfest 2026 integration track, in which two product managers for SAP Integration Suite set out why the suite puts an MCP gateway between agents and backend systems, and then build one. The demo turns an HTTP endpoint and its OpenAPI specification into MCP tools on the integration cell runtime, does the same on top of an existing API-centric integration, and shows the policies tab where authentication through an external provider, quotas, spike arrest and IP filtering sit, plus the trace of the JSON-RPC calls in monitoring and the agent they are earmarked against in analytics. That is where the serve your application over MCP and tool governance edges hold; RFCs and BAPIs as sources are stated as supported, and MCP federation, custom domains and edge integration cell as roadmap.Talk,
From Intent to Arcade: Building Joule*Bert with Joule Studio and AI-Assisted Pro CodepublishedA Devtoberfest 2026 AI-track session that takes a Q*bert-style arcade game, written as an Easter egg for colleagues, through every phase Joule Studio runs: intent analysis with its clarifying questions, a product requirements document, a specification with its task list, generated code, generated tests and deployment. The knowledge-graph lookup reports that the game maps to no enterprise process and the flow adjusts, and the presenter edits the requirements by hand when the first version declares sound out of scope. He then pushes the project to GitHub, clones it and initialises the jl command line so that Joule Studio's MCP servers are wired into the coding agent in VS Code, where mobile arrow keys were added afterwards; applications could not yet be deployed to the Joule Studio runtime, so this one runs on Kyma.Talk,
From opportunity to decision: Intelligent Credit Checks with AI Adapter in SAP Cloud IntegrationpublishedDevtoberfest 2026 session INT-12, in which an integration consultant builds two scenarios around the AI adapter in Cloud Integration. The first integration flow is triggered by a Salesforce opportunity event, reads that customer's history from S/4HANA over its OData APIs and calls a sales agent through the AI adapter, which writes a credit status and a credit rating band back onto the opportunity for the sales representative to act on; the second calls an operations agent from an exception subprocess and raises a Jira ticket carrying the suggested resolution, the related past tickets and the average resolution time recorded for the issue. The session places the adapter among the HTTP, Open Connectors and application-specific adapter routes, names its SAP Generative AI Hub, OpenAI and Claude variants, and gives the build effort as roughly 50 to 60 hours for the OData calls against the adapter configuration's two tabs.Talk,
How Have SAP Customers Adopted n8npublishedA Devtoberfest 2026 session on what SAP customers are building with the standalone edition of n8n, from a partner who maintains an SAP OData node for it: use cases across purchase-to-pay, sales, finance and IT service, two live workflows, and the rules he works to — released SAP APIs only, no LLM in the decision path, exceptions to a person. The tool-choice half is where the edges hold: SAP Integration Suite is placed as the job for governed, high-volume system-to-system integration, and its MCP server is what the agent in the second demo reads SAP data through, while process automation is the concern the session sorts between document intake, approvals and the bot inventory that stays with RPA. The first demo is an order-confirmation check that reads a PDF, compares the lines against the purchase order over OData, asks a person, then writes the confirmation back.Talk,
How to Build Application Jobs in SAP Business AI Platform, ABAP environmentpublishedA Devtoberfest 2026 session on the application job framework in the cloud ABAP environment, built from the repository objects outwards: a class implementing the new application job interface, whose public attributes become the parameters and select options, the application log object it writes to, a job catalog entry that lays out sections, groups and value helps, and a job catalog template that works like a report variant. The demo schedules and monitors runs in the Application Jobs Fiori app, starts a job from a RAP action through the scheduling API under a job user of its own, and debugs one through the template's run-for-testing entry. It closes on the alternatives for work that should not be a job — the background processing framework for short-running work, and RAP events consumed locally or sent over the event mesh — which is the async processing this session covers for SAP BTP ABAP environment.Talk,
How to implement business AI capabilities in ABAP CloudpublishedA Devtoberfest 2026 session (ABA-32) on embedding AI in an ABAP Cloud application and on making SAP Joule aware of what that application can do. The first demo implements two features of a RAP travel app with the ABAP AI SDK: a determination on an uploaded receipt that sends the image together with the allowed categories and transaction types to a model reached through an intelligent scenario, then writes the extracted description, category, currency and amount back to the expense entity; and a recommendation function, triggered by a side effect on the trip title, that proposes a trip type with a score the Fiori UI sorts the proposals by and leaves the business user to accept — which is LLM integration from ABAP code. The second demo builds a capability for SAP Joule in the Joule Studio code editor in VS Code, with a scenario that extracts a trip title from the user's intent and calls an OData service in the ABAP backend through a BTP destination, deploys it and asks the Joule test UI for the trip's details; the session states that agents reach ABAP only over governed remote APIs — OData, SQL and MCP — and that automatic grounding of custom OData services in the knowledge graph is upcoming rather than available.Talk,
How We Make Tabular Predictions in 2026 with TabPFNpublishedA Devtoberfest 2026 session, AI-32, on why a table needs a model of its own: a language model reasons its way to a plausible number, while a tabular foundation model takes the table as context in one forward pass and learns from its features statistically. That is predictive models from both ends — a scikit-learn-shaped fit and predict in a notebook over a heart-disease data set, predicted class probabilities and SHAP values for which features drove the outcome, then the same model reached as an MCP tool by a coding agent that is asked which current customers are most likely to churn. The presenter is from the lab that publishes TabPFN; the Q&A puts it beside SAP's own tabular foundation model, which she says she has not used.Talk,
IntegrAItion: Event-Driven IntelligencepublishedA Devtoberfest 2026 session, INT-33, whose line is that agents fail because they are not informed enough rather than not clever enough, and that events are how they get informed: what an event is, the source-broker-consumer split, notification against data events, and topic filtering as the thing that decides which agents are woken at all and what that costs in tokens. It covers Event Mesh as the concern — topics, subscriptions, filters and queues — and SAP Integration Suite, advanced event mesh as the product, down to its event portal and catalogue, the mesh and cluster managers and distributed tracing. The closing demo sends an S/4HANA product-defect event through the mesh to wake an agent in Joule Studio, which fetches what it still needs over MCP and reports to a person the next morning.Talk,
MCP Gateway in Practice: Architecture, configuration, and hands-onpublishedA Devtoberfest 2026 integration-track session (INT-21) on the MCP gateway of SAP Integration Suite: curated enterprise APIs served to agents as MCP tools over JSON-RPC, behind the authentication, authorization and traffic policies an API artifact already carries, with the existing API layer left in place. The hands-on half composes S/4HANA plant, material-stock and supplier data with a non-SAP location-risk source into one business data graph, downloads its OpenAPI specification, creates an MCP server artifact with tools, prompts and a surge-protection policy over that endpoint, and publishes it as a product in Developer Hub of API Management, where an agent developer subscribes and gets OAuth credentials. An MCP client then asks for 15 brake pads and ranks plants by stock, location risk and distance from Walldorf, which is what the agent access to your systems edge rests on; the Q&A covers principal propagation to the backend, how errors reach the model, and which Integration Suite editions carry the gateway.Talk,
Meet Joule Studio and Build your First AI AgentpublishedA Devtoberfest 2026 session from the product manager of Joule Studio, walking one agent through the whole path the tool defines: an intent, the problem statement and goals a coding agent derives from it, the business context it takes from the SAP knowledge graph, and the solution type it proposes with a stated intent fit. The demo is a collections agent that drafts dunning emails: the product requirements document names the metrics and the human-in-the-loop review, the technical specification lists the artifacts to build — the MCP tools among them — and the build is followed by a business test run against business partner 10001, technical unit tests, and deployment to the managed runtime, where the agent and its MCP server appear as deployed assets. Two points shape how it is used rather than what it produces: every asset is a file, editable in the web editor or in the code view and pushable to git, and the same solution can be built from local pro-code tools; n8n workflows are stated as delivered out of the box inside the studio.Talk,
Powering Enterprise-Ready Agentic AI with SAP Integration SuitepublishedA Devtoberfest 2026 session (INT-31) from SAP Integration Suite product management on the MCP gateway. The demo creates an MCP server in a design package from an API already deployed on the tenant, exposes two of its 300-odd resources as tools, attaches authentication and quota policies on a policies tab, and publishes the deployed endpoint as an AI product in Developer Hub of API Management, where an agent subscribes and receives a token, URL, key and secret; the calls then show up in monitoring, in message processing logs and in the analytics dashboard, which is the MCP exposure and the tool governance the edges rest on. Three AI features inside Cloud Integration follow: a content migration agent that converts a PI/PO Java mapping into a Groovy script and generates a second integration flow for its lookup, memory profiling during a flow simulation, and root-cause analysis on a failed message processing log.Talk,
Real Pro-Code Development with Joule StudiopublishedA Devtoberfest 2026 AI-track session that runs one agent build across both of Joule Studio's paths. Playing a procurement manager, one presenter states the intent in the browser, answers the clarifying questions, watches the fit-gap analysis name the S/4HANA APIs the use case needs, and pushes the intent and requirements document to GitHub; the other clones it and carries on in a terminal, logging in with the jl command line against her landscape URL and running its init command to fetch Joule Studio's skills for OpenCode. From there the coding agent writes the specification, the discovered API specifications, the MCP translation and the agent's Python file with its model configuration and evaluation scenarios, which is the edge to Agent tooling; the skills themselves, which SAP says not to edit but which a developer may add to, are the edge to Agent guidance.Talk,
SAP BAIP, ABAP environment – How to build partner solutions and get them certifiedpublishedA Devtoberfest 2026 session on the two ways a partner ships an ABAP Cloud solution built on SAP BTP ABAP environment, which the session calls the ABAP environment of SAP Business AI Platform: software delivery, where an add-on product is published with the solution ID from SAP Store onboarding and the customer discovers and deploys it into their own system, and service delivery, where the partner operates the same add-on as a multi-tenant SaaS and a new version is deployed rather than published again. That is the ABAP environment edge; the static analysis edge rests on the quality steps shown in the landscape portal, where the Manage Continuous Testing app released with 2608 runs an ATC check variant against a configured system on a recurrence pattern, beside test product version builds and managed test tenants. The second half walks through the SAP Integration and Certification Center process and the three BTP certification options open to an add-on product.Talk,
SAP BDC and AI: A Perfect MatchpublishedA Devtoberfest 2026 data-track session (DAT-22) in which Business Data Cloud's CTO sets out how SAP Business Data Cloud feeds SAP's business AI platform: data products whose primary persistence is an object store and whose semantics are kept with them, the one domain model that links a supplier in Ariba to a supplier in S/4HANA, and the SAP knowledge graph, a triple store running in SAP HANA Cloud and queried with SPARQL, that SAP Joule consults before answering. The live demo asks Joule for the available data products and the top ten open purchase orders, with the data product query agent compiling SQL over virtual tables and a space rendering a dashboard, which is the cataloguing side of this: a central registry, the Unified Customer Landscape, that every activated data product is registered in. The Q&A covers where the knowledge graph lives and what a customer may extend, base policies that turn into filter conditions on an agent's queries, and Joule Studio as the place to build your own agents and data products.Talk,
SAP BDC in Business AI Platform: Contextualize and ReasonpublishedA Devtoberfest 2026 session (DAT-31) that places SAP Business Data Cloud as the contextualise-and-reason pillar of the SAP Business AI Platform, between the build pillar of Joule Studio and Integration Suite and the govern pillar of AI Agent Hub. It covers data products described with open resource discovery and core schema notation metadata, a data product creation agent that assembles a derived data product for overdue billing documents from the billing document and customer products and shows its lineage and fields; the data products a line-of-business application brings being readable by Joule without a BDC subscription; and the SAP-managed knowledge graph that maps business entities and their relationships for agents, held as graph data in the SAP HANA Cloud knowledge graph engine as RDF triples queried with SPARQL. The closing demo has SAP Joule answer head-count and purchase-order questions, with the generated SQL passed through a data product query that adds the restriction policy defined for that user in cloud identity services, which is why the session stands for cataloguing and lineage as much as for the products it names.Talk,
SAP Cloud Integration chamber of horrorspublishedA Devtoberfest 2026 integration-track session that goes through anti-patterns in Cloud Integration iFlows: scripts that re-implement flow steps or make external calls, the ESB_Messaging.send role on every sender channel, default flow-step names, dependence on undocumented platform internals, code that rewrites what the Groovy and Java libraries already hold, XML namespaces stripped to simplify XPath, HTTP calls between iFlows on one tenant where ProcessDirect would stay inside it, externalised parameters too few or too many, and MPL attachments left switched on in production. Each one comes with how to spot it — long scripts, jar files for SFTP communication, the design guidelines and upgrade readiness checks, or a rule in the presenter's own CPILint run locally or in a pipeline — and that pass over flow steps, sender roles, adapters and the message processing log is what the Integration flows edge rests on. The questions afterwards cover the GitHub integration in Cloud Integration, the absence of an official MCP server for building iFlows, and whether generated code shifts the choice between mapping, XSLT and scripting.Talk,
SAP HANA Data Lake Files (HDLF) Basic FunctionalitiespublishedA Devtoberfest 2026 data-track session on SAP HANA data lake files, the managed object store inside SAP HANA Cloud that is provisioned from HANA Cloud Central, priced per API call and per stored gigabyte, and reached with the same REST API whichever hyperscaler it runs on. Two product managers set up an instance with its IP allow list, client certificates and trusts, then upload, list, read and delete files over the WebHDFS REST API and the HDLFS command-line utility — the Object storage half — and cover file versions with snapshots, access policies per file, and chunked upload with a server-side merge. They then link the instance to a HANA database and query a CSV file as a virtual table: SQL on files now runs through a file adapter in the database, while the older path through the data lake relational engine is deprecated.Talk,
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudpublishedDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data Cloud sets out the revised BW modernisation strategy, now called optimise, modernise and innovate, and the three tools that carry it. The data product generator transfers BW InfoProviders into local table files in a dedicated BW inbound space of SAP Datasphere, where a data product is still created by hand in the data sharing cockpit; the query template generator turns BW query metadata into an analytical model template in the HANA space; the BW migration assistant, planned to start in Q4 for BW NetWeaver, takes the data flows and transformations below them, and is shown on slides only. That is the loading a warehouse edge, and the demos cover the BW/4HANA cockpit, the ABAP program for the NetWeaver GUI, mass generation with semantics from the BW modeling tools, and the flattening operator for sharing data outside SAP.Talk,
Supercharge Joule Desktop: Connect Any SAP API in Minutes with MCP GatewaypublishedDevtoberfest 2026 session INT-13, in which an SAP solution advisor connects a live S/4HANA system to the desktop experience of Joule Work through the MCP gateway in SAP Integration Suite. One OpenAPI specification covering business partners, sales orders, material stock, billing and purchase requisitions is uploaded as an MCP server artifact, deployed to integration cell with XSUAA inbound authentication, and registered as an MCP connector; the destination behind it is then switched from basic authentication to principal propagation, and the Cloud Connector monitor shows the same question arriving as the presenter's own user. That demonstration is the serve your application over MCP edge, and the second half is Joule Work itself: a Markdown skill that fixes the steps and format of a customer briefing, and a Space the skill rebuilds with each run.Talk,
The ECC-to-CAP Starter KitpublishedA Devtoberfest 2026 session that builds a CAP service and a Fiori elements list report over an SAP ECC gateway service, on the argument that the CAP project, its contract and its UI survive a later move to SAP S/4HANA while the APIs behind them change. The service integration edge is the body of the demo: the metadata of the ECC flight service is saved as an EDMX file, imported with cds import so the model holds the structure and none of the data, projected read-only into a flight service, and one line of handler code forwards each read to ECC, with filtering, sorting and paging translated down to the older OData version the system speaks. The SAP Destination service edge covers the on-premise destination and the additional properties the walkthrough insists on, and the SAP Business Application Studio edge covers the full-stack dev space, the CAP project wizard, the service center plugin for picking up another OData service, and cds watch run under the profile that uses those credentials.Talk,
Unlocking Tabular Foundation Models: From Experimentation to ProductionpublishedA Devtoberfest 2026 session (AI-41) on taking tabular prediction from a playground to a deployment. It sets tabular foundation models against a model trained per use case and against language models reading rows as text, explains in-context learning as examples plus the rows whose target column is missing, and tries SAP RPT 1.6 on a train-delay dataset in the RPT playground, including the column and row importance it returns with the prediction. The same prediction is then rebuilt on SAP AI Core, where the tabular orchestration service plays the part the orchestration service plays for language models: a data destination, a table artifact with its CSN schema and a scenario configuration registered once at design time, after which a predict call passes only the query rows, the scenario configuration and a context-selection strategy. The last demo runs those same calls in natural language through the aicore-skills plugin in a coding agent, and one of them only resolves once the agent is told which scenario configuration to use.Talk,
@marianfoo/sap-mcp-authdescription, type properties, connects revisedRe-read against the README as it stands today. "No token endpoint" and "there is no client-credentials flow to use instead" were absence claims about SAP's portals that no source makes, so they are gone and the paragraph now says what the module does and whom it serves. The maintainer's own unofficial caveat, and the origins password login refuses, are in when_not_to_use. The package block states that it is imported into the caller's own program and installed from npm. The README names Cloud Identity Services as the tenant the login goes to, which is an edge rather than a phrase in a paragraph.Package,
Agent workspacesecosystems revisedThe ABAP, CAP and UI5 views existed only to hold Werkbank, whose stack-specific part is its catalog of development skills and connectors, not the workspace. That contribution moved to Agent guidance; nothing behind those doors offers a workspace of its own.Capability,
Authenticationecosystems revisedui5-middleware-oidc was staged in intake-20261019-bestofui5 under ui5-build-tooling because this capability was not open on the UI5 door. The UI5 reading comes from the README of SAP's backend-proxy-middleware.Capability,
Destinationsecosystems revisedui5-middleware-destination was staged in intake-20261019-bestofui5 under ui5-build-tooling; its drafter left out a destinations edge because this capability was not open on the UI5 door. The UI5 reading comes from the README of SAP's backend-proxy-middleware.Capability,
Editor supportecosystems revisedUI5 Language Assistant, SAP's VS Code extension for UI5 XML views and manifest.json, and the SAPUI5 Extension by iljapostnovs were staged in intake-20261019-bestofui5 with this concern as their best fit, and the capability was not open on the UI5 door. The UI5 reading comes from the UI5 Language Assistant README.Capability,
Loggingecosystems revisedSRBJSLogger and openui5-error-collector were staged in intake-20261019-bestofui5 with no capability edge, because this capability was not open on the UI5 door. The UI5 reading comes from the sap/base/Log API documentation and the OpenUI5 Logging and Tracing page.Capability,
secondsky/sap-skillstype properties, flavors revisedRead today in the two plugins that answer the CAP and the UI5 door, which the ABAP pass had not opened. The sap-cap-capire skill's frontmatter states that it covers Node.js and Java runtimes, so CAP's two flavors rest on the maintainer's sentence where the entry previously answered in both by the serves-another-door fallback, which is the same reading off an absence. The sapui5 skill's frontmatter names freestyle apps and Fiori elements apps in one clause, so freestyle is stated, and fiori-elements moves onto that sentence from the README line about which request activates sap-fiori-tools, which said what triggers a plugin rather than what it covers. Nothing read names UI5 Web Components, so that flavor stays unstated. Stating freestyle changes an answer: the entry answered no there while it stated one UI5 flavor and now answers yes, which a reader comparing that flavor's options will see. The ABAP pair is unchanged.Skill,
The last 7 days. Older changes stay in each entry's history.