AI Engineering Articles

Building a Modern AI-Ready Backend: Web MVC, JNI, WebFlux, and Python RPC I designed and implemented a modular backend architecture that supports traditional Spring MVC services, native AI acceleration through...

Agent S: A Local AI Automation Assistant As AI agents evolve, developers increasingly need tools that combine natural language intelligence with real executable automation. Agent S is an open-source, local-first...

Observability and Billing: Building Unified Dashboards for Operations and Finance In modern AI and data systems, observability and financial transparency must go hand in hand. Every request should not only...

Human-in-the-Loop Review and Idempotent Write-Back: From /review to Auditable System Updates In any AI-driven workflow, some decisions are too important to leave entirely to machines. Before an automated result is...

Evaluation and Redlines: Offline Baseline + Production Replay + Automatic Rollback Goal: A new model version should go live only when data proves it’s better, otherwise, it automatically rolls back....

Building a Trustworthy RAG System: Make AI Answers Traceable with Source Citations A good AI system shouldn’t just answer questions; it should show where the answers come from.

Versioned Prompts and Tool Contracts: Building a Safe, Auditable, and Rollback-Ready AI System

LLM Gateway: One Endpoint for Safety, Cost Control, and Observability

Stable Names + Task Contracts: Keep Callers Stable While You Evolve Internals

The Reuse Layer: Governing AI as a Capability, Not a Credential

From WebFlux API to Full Observability: Monitoring AI Inference with Prometheus and Grafana

Building a High-Concurrency AI Moderation Service with Spring WebFlux — From Concept to Production As AI applications move from research into real-world production, one of the biggest challenges is how...

Spring MVC vs WebFlux: A Practical Look at Concurrency and Performance In the Java backend world, Spring MVC has long been the go-to framework. It’s simple, reliable, and works well...

Spring Boot + DJL: Build a High-Performance Image Moderation API In this post, we walk through how to design and implement a high-performance Image Moderation API using Spring Boot and...

DJL ResNet with JNI: Accelerating Image Preprocessing in Java When deploying deep learning models in production, image preprocessing often becomes the hidden bottleneck. In this guide, we’ll explore how to...

Java gRPC and HTTP Clients for Python AI Inference Service When deploying AI models in production, we often ask:

Implementing a Python Inference Service with HTTP (FastAPI) and RPC (gRPC) Interfaces

Deploying ResNet Models with Java and DJL (Deep Java Library) In the Java world, deep learning often sounds like something you must do with Python. In reality, DJL (Deep Java...

Learn Softmax Regression with PyTorch: A Colab-Based Demo

Understanding Softmax Regression: Principles, Formulas, and Practical Insights In classification tasks, the question is often not “how much” but “which one.” For example: Is an email spam or not? Is...

PyTorch Housing Price Prediction Demo (Multi-feature) This tutorial demonstrates how to build a PyTorch housing price prediction model using multiple features such as area, number of bedrooms, and house type....

A Complete Guide to Linear Regression (Theory + PyTorch Practice)

Getting Started with PyTorch Image Classification on Google Colab This beginner-friendly PyTorch image classification tutorial shows how to train and test a model on Google Colab using the CIFAR-10 dataset....