The PRD worked when the hard part was building. With agents, building is the easy part, a prototype takes an afternoon. The hard part is deciding what the agent should do, where its authority stops, and how anyone knows when it's wrong. That work spl...
"After 30 days, we'll move the agent to full autonomy." That's a schedule, not a safety criterion. A clean record usually means the hard cases haven't come up yet, not that the agent can handle them. Why autonomy has to be earned against evidence, an...
I’ve been hearing a lot lately about fine-tuning being “dead,” but the reality is much more interesting. In this SAP Community post, I share what fine-tuning actually is, where it still shines, and why it continues to matter for real-world enterprise...
First, the content of this blog was initially written in Chinese by me (not an AI), but later it was translated into English with the help of AI, and the AI also enhanced and structured the content.Second, the content reflects my own experiences and ...
Introduction:It is possible to connect to a remote PostgreSQL database using Python and then use your application to access and manipulate the data wherever you are. Visual Studio supports writing Python code, and using libraries such as psycopg2 to ...
Introduction:Creating an employee table in a Cloud PostgreSQL database using Python helps in organizing and storing employee information in a structured way. By using libraries like psycopg2, Python can easily connect to the database and execute SQL ...
Enterprise AI becomes significantly more powerful when it can access organization-specific knowledge instead of relying only on generic model responses.With document grounding in SAP Joule, Joule can retrieve information from enterprise repositories ...
Drift is not one thing. An agent can drift in four independent directions simultaneously: model, data, supervision, and scope. None of the four announces itself. The combination can be more dangerous than any single vector. This post covers the four ...
An agent that is not monitored does not sit and wait. It continues to act, autonomously, at scale, until a supplier calls to ask about orders that never arrived. This post covers the six observation instruments every agentic product needs, why automa...
The QA mental model that has served you for twenty years breaks in exactly three places when software starts making decisions instead of executing code. Pass@K replaces binary pass/fail. Compound probability means component accuracy and system reliab...
Introduction:Installing PostgreSQL to use it on the server will assist you in storing and processing data used by your application safely.It will imply the installation of PostgreSQL, the creation of a database, and the configuration of server access...
Most agentic products ship with only the agent designed. The supervisory system, how humans monitor, intervene, audit, and recover from what the agent does, is an afterthought. This post covers the four runtime artifacts every agentic product require...
Business cases for agentic AI are systematically 40 to 60 percent too low. Not because people are careless. Because the cost structure is genuinely different, token pricing is not what you expect, and the governance stack nobody budgeted is the line ...
The most expensive mistake in agentic AI does not happen in production. It happens before a single line of engineering is written, when a team decides to build an agent for a problem that should have been solved with a clearer dashboard or a better r...
A practical guide to working effectively with Claude Code. Covers workflow principles, planning strategies, model selection, and the full tooling ecosystem.Who This Is ForDevelopers — from first-time Claude Code users to power users. Part 1 covers pr...
Seven mental model shifts every product manager needs before any agentic AI project begins. Not because they are advanced. Because they are prerequisites. From suggestion vs. action to the two channels most teams never build — the concepts that separ...
Agentic AI is not just smarter software. It is probabilistic, it acts autonomously, and it does not know when to stop and ask for help. This series maps the frameworks product managers need to design the system around the agent, not just the agent it...
Introduction:A Python virtual environment is a local directory that maintains project dependencies distinct from the rest of the system. It prevents conflicts of version and provides a uniform development in various presuppositions. This is needed to...
Exploring how AI can actually help in SAP QA, from writing test cases to debugging automation, with real learnings and limitations from my experience.
Introduction:Git is a decentralized version control system, which assists developers to follow the evolution of their code and cooperate effectively with other developers. It runs on a series of basic instructions like git init, git add, git commit, ...
Introduction: Python is a general purpose and easy to read high level programming language. Python is used in many areas, including web development, automation, artificial intelligence, and, most importantly, data science it is also skillful at clean...
Why Relational Intelligence Is Becoming Mission‑Critical?
A hands-on introduction to Mastra, a TypeScript framework for building production-ready AI agents. Learn how to wire up tools, persist conversation memory, and coordinate multi-step workflows using SAP AI Core and Hyperspace AI, all while building a ...
Where do AI agents store what they've learned? How do memories form, evolve, and get retrieved? In the second part of my agentic memory series, I unpack memory families, content taxonomies, organizational architectures, and the full memory lifecycle.
SAP Joule is not just a tool - it’s a shift in how development is done. By combining AI with ABAP, it empowers developers to focus more on solving business problems rather than spending time on repetitive tasks.The role of an ABAP developer is evolvi...
A step-by-step guide to connecting Claude AI directly to your SAP ABAP system using MCP (Model Context Protocol) on Windows. Learn how to install Claude Code CLI, set up two open-source ABAP MCP servers, and configure Claude Desktop to read, write, a...
Microsoft just leveled up VS Code and GitHub with real AI horsepower. So I explored how this could boost prompt generation in Fiori projects—particularly when Joule isn’t available.
Sales Standard Operating Procedures (SOPs) are goldmines of organizational knowledge — they define who does what, which products are sold, how deals are closed, and which tools the team uses. But this knowledge is buried in unstructured prose, spread...
In November 2025, I started using Claude Code differently. Instead of just throwing prompts at it and hoping for the best, I began building skills — little workflow playbooks written in markdown that tell the AI how to approach a problem, not just wh...
AI code generation helped the hana-cli project add more features in two months than I'd been able to deliver in the last two years; but quality still came from discipline, architecture, and a ton of testing.
Agentic memory enables AI to remember past interactions, but its real value lies in knowing precisely which information to store and when. This article defines the concept of 'agentic memory,' outlines key use cases such as personalization and agenti...
BM25 keyword ranking and hybrid retrieval for RAG pipelines on SAP HANA Cloud. Combine vector search with keyword matching using LangChain-compatible retrievers.
| User | Count |
|---|---|
| 11 | |
| 8 | |
| 6 | |
| 6 | |
| 6 | |
| 6 | |
| 5 | |
| 5 | |
| 5 | |
| 5 |
GTLC_Vamsi
:
My productivity is boosted with Joule work desktop...
| Subject | Likes |
|---|---|
| 10 | |
| 6 | |
| 6 | |
| 6 | |
| 5 | |
| 5 | |
| 5 | |
| 5 |
