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

ExternalSoftware Engineering
DEV Community

AI Agents Are the New Microservices & A2A Is Their HTTP(s)

Introduction As enterprises race to deploy generative AI Apps/Agents, the hardest question isn't "which foundation model do we use?." it's "how do they safely talk to each other?" If you spent the 2010s building distributed systems, the architectural blueprints emerging for enterprise AI will feel strangely familiar. Bounded contexts, service registries, async message queues, and distributed tracing are all back. The vocabulary is almost identical except our "services" now reason in natural l

agentsaiarchitecture
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ExternalSoftware Engineering
DEV Community

I Told a Robot to "Clean the Kitchen", and It Actually Did

I typed "Clean the kitchen" into a chat box. A robot turned toward the right room, drove over, swept the floor in a tidy back-and-forth pattern, and came back home, while describing what it was doing the whole way. No buttons, no coordinates, no code to write each time. Just a sentence. I built this over the last few weeks. It's called NavMind, and it's the first project I'm writing up as I learn robotics in public. Here's what it does, the one idea that makes it work, and the things that broke

roboticsros2ai
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ExternalSoftware Engineering
DEV Community

3 Files Every AI-Assisted Project Needs Before You Write a Line of Code

Most developers think of project setup as: install dependencies, configure TypeScript, set up linting. That is the wrong order. The AI-native setup order is different, and skipping it means your AI assistant works against your project instead of with it. Here are the three files that should exist before you write a line of application code. CLAUDE.md is a markdown file at your project root that Claude Code loads as a system prompt prefix on every session. Think of it as the briefing document you

claudecodecursorai
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ExternalTechnology Trends
The Verge Tech

Nvidia, Microsoft, and Arm are all teasing Nvidia’s new N1X laptop processors

Nvidia CEO Jensen Huang with an RTX laptop at CES 2025. | Image: Getty Images It's the world's worst kept secret that Nvidia is about to announce its own Arm-powered laptop chips at Computex this weekend, and now Microsoft, Nvidia, and Arm are all openly teasing the announcement. The Windows and Nvidia GeForce accounts on X both posted "A new era of PC" earlier today, and now Arm has followed up with an identical post. All three posts include coordinates pointing to where Computex is hosted i

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ExternalSoftware Engineering
DEV Community

5 .cursorrules Antipatterns Killing Your AI Productivity

Your .cursorrules file is probably not working the way you think it is. Not because Cursor is broken — but because most .cursorrules setups make the same five mistakes. Here is what they are and how to fix them. The most common .cursorrules antipattern is the monolith: one file at the project root, 300 lines long, covering TypeScript conventions AND API auth patterns AND deployment notes AND "always write clean code." The problem: Cursor loads this file into every context, regardless of what you

cursoraiproductivity
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ExternalSoftware Engineering
DEV Community

5 CLAUDE.md Patterns That Make AI Actually Follow Your Rules

Have you ever set up a CLAUDE.md file, dropped in 200 lines of rules, and then watched the AI completely ignore half of them anyway? You are not alone. The irony of writing instructions for AI coding assistants is that the same productivity trap applies to you: more rules ≠ better results. Here are five patterns that actually work, learned from managing production CLAUDE.md setups across a dozen project starters. The biggest CLAUDE.md mistake is treating it like documentation. It is not document

claudecodeaiproductivity
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ExternalSoftware Engineering
DEV Community

The Homelab Rabbit Hole

As an IT/Linux enthusiast I've watched plenty of videos about homelabs. I’ve seen what people do at home and have always been trying to find a good excuse to dive into it. My current homelab (if you can call it that) is made up of a Raspberry Pi 4 (RPi) running PiHole and a Synology NAS running some applications (file syncing, photo management, jellyfin). Clearly nothing spectacular. I don’t really know why, but since recently I’ve been reading and watching videos about Home Assistant (HA), and

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