360SOFTY

Insights

Engineering Insights

Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.

RSS

Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering
DZone

Introduction to Tactical DDD With Java: Steps to Build Semantic Code

Modern software systems rarely fail due to poor coding skills. Most failures occur when teams lose sight of the business problem they are addressing. As systems evolve, requirements shift, teams expand, and new integrations are added, codebases often become collections of technical decisions that lack business context. Classes become generic managers and services, methods devolve into procedural scripts, and communication between developers and domain experts diminishes. Tactical Domain-Driven D

DZoneRead original
ExternalSoftware Engineering
GitHub Changelog

Auto model selection now routes based on your task in VS Code

GitHub Copilot auto model selection now routes to the best model for your task, using utilization and model health metrics for a high quality, reliable, and token-efficient experience. How it… The post Auto model selection now routes based on your task in VS Code appeared first on The GitHub Blog.

GitHub ChangelogRead original
ExternalSoftware Engineering
DZone

AI Agents in Java: Architecting Intelligent Health Data Systems

Executive Summary Modern health data analytics increasingly leverage AI agent software components that process information and make decisions, often using large language models (LLMs) or machine learning models. In Java, you can build agentic systems using libraries like DJL (Deep Java Library), Spring AI, or by integrating LLM APIs. This document includes Maven setup, minimal Spring Boot code (controllers and services), a simple agent example, diagrams, and a comparison of different agent appro

DZoneRead original
ExternalCybersecurity
Microsoft Security Blog

Introducing RAMPART and Clarity: Open source tools to bring safety into Agent development workflow

The AI systems shipping inside enterprises today are fundamentally different from the ones we were building even two years ago, because they have moved well past answering questions and into accessing your email, retrieving records from your CRM, writing and executing code, and taking actions on your behalf across dozens of connected systems. The post Introducing RAMPART and Clarity: Open source tools to bring safety into Agent development workflow appeared first on Microsoft Security Blog.

Microsoft Security BlogRead original
ExternalCloud
DigitalOcean Blog

How We Built DigitalOcean Inference Router

Most teams building on LLMs today make a single model decision and apply it uniformly across every request. They reach for a frontier model not because every task demands it, but because building the infrastructure to do anything smarter is hard, time-consuming, and easy to get wrong. When the tooling isn’t there, the path of least resistance is to use a single model, even if it means that you end up overpaying for most tasks. Let’s take an example. If you’re a developer building with Cursor, Cl

DigitalOcean BlogRead original
ExternalCybersecurity
SecurityWeek

AI-Powered App Attacks Are Faster, More Frequent and Harder to Stop

Digital.ai’s latest threat report warns that agentic AI has erased the distinction between emerging and primary targets, enabling attackers to strike mobile apps within hours of release across every industry. The post AI-Powered App Attacks Are Faster, More Frequent and Harder to Stop appeared first on SecurityWeek.

Application SecurityArtificial Intelligence
SecurityWeekRead original

Work with 360Softy

Building a SaaS product, AI system, or business platform?

Book a free consultation and we will tell you honestly whether we can help.

Book a consultationView our services →