Spring Cloud Data Flow: Orchestrating Machine Learning Pipelines
In the dynamic world of machine learning, the journey from raw data to a deployed model involves a series of intricate steps. Spring Cloud Data Flow (SCDF) emerges as a…
Harnessing Transformer Models with Spring AI: A Developer’s Guide to Enterprise AI Architecture
Introduction Since the groundbreaking 2017 paper “Attention Is All You Need” introduced the Transformer architecture, deep learning and natural language processing (NLP) have experienced a monumental shift. From Large Language…
Spec-Driven AI Architecture: Designing Applications with APP_SPEC.md, DESIGN.md, AGENTS.md, and ADRs
In the era of AI-assisted software engineering, traditional high-level architecture diagrams and scattered wiki pages are no longer sufficient. When human developers and AI coding agents (such as Claude Code,…
Standard Mechanisms for Installing and Managing Agent Skills
As the Agent Skills specification (SKILL.md) matures, managing skill lifecycles—discovering, installing, updating, and sandboxing skills—has settled into several standard mechanisms. Because skills are fundamentally directory-based packages (containing SKILL.md, scripts, and…
Extending Spring AI with Agent Skills: Executing Python Scripts via SKILL.md
As AI agents evolve from simple chat interfaces to autonomous problem-solving systems, managing prompt bloat and custom tool integrations becomes a critical architectural challenge. If you embed every instruction, workflow,…
A Beginner’s Guide to Setting Up Ollama with Docker Compose
Have you ever wanted to run a powerful large language model (LLM) like Llama 3 or Gemma right on your own computer, but you need a consistent and portable setup?…
Integrating OpenL Tablets with a Spring Boot Microservice
This post explains how to integrate OpenL Tablets with your Spring Boot microservice. We’ll cover adding the necessary dependencies, configuring OpenL Tablets, and creating a service to use it. 1.…