Skip to content
360SOFTY
HomeInsights

Insights

Ideas for building
better software.

Engineering perspectives on architecture, product development, AI, and the everyday decisions behind useful software.

From the engineering desk

Browse practical articles or follow the latest technology updates.

Subscribe via RSS →

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

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
External
The Hacker News

Microsoft Takes Down Malware-Signing Service Behind Ransomware Attacks

Microsoft on Tuesday said it disrupted a malware-signing-as-a-service (MSaaS) operation that weaponized the company's Artifact Signing system to deliver malicious code and conduct ransomware and other attacks, compromising thousands of machines and networks across the world. The tech giant attributed the activity to a threat actor it calls Fox Tempest, which it said offered the MSaaS scheme

The Hacker NewsRead original
ExternalSoftware Engineering
DZone

No More Cheap Claude: 4 First Principles of Token Economics in 2026

TL;DR: Token Economics in the Era of Scarcity Your Claude Pro subscription hits limits faster than it did in January, as Anthropic quietly re-priced the ceiling, and every AI provider is rationing compute. If you keep working with Claude the way you did six months ago, you are in for a rude awakening. This article gives you four principles that explain how Token Economics actually works, so you can stop accepting the black box and start using your budget deliberately. Token Economics Principle 1

DZoneRead original

Let’s start with a conversation

Tell us what you’re working on.

An idea, a challenge, or a system that needs to work better. We’ll help you understand the next step.

Discuss your project

Prefer email? [email protected]