Skip to content
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.

ExternalTechnology Trends
The Verge Tech

This compact Glorious mechanical keyboard is just $35

The discounted GMMK 3 doesn’t include the pictured wrist rest. | Image: Glorious Are you curious about custom mechanical keyboards, but don’t want to spend hundreds just to get started without being sure you’ll enjoy the hobby? You can grab the 65-percent Glorious GMMK 3 mechanical keyboard at Woot for $34.99 (usually $139.99) by entering the coupon code WOOTGAMING at checkout, and first-time Woot customers will get an extra $5 off when using the same code. It’s a well-equipped keyboard out of

The Verge TechRead original
ExternalCybersecurity
Dark Reading

Adam Shostack Talks Hugging Face & PHANTOM-B

World-class threat modeler Adam Shostack shared he was "blown away" by OpenAI's revelations about the Hugging Face attack, and explains why his new threat model for LLMs is both "lightweight yet still usable."

Dark ReadingRead original
ExternalTechnology Trends
The Verge Tech

Wordle meets Clippy in this new word game

Like many of us, Sam Rosenthal plays games like Wordle every day, chasing after good scores and sharing the results with friends and family. But he's also a game designer, the creative director at Blaseball developer The Game Band, and so this regular habit got him thinking about what else could be done in the space. "When I was a kid and I played word games with my family, they weren't the New York Times puzzle games," Rosenthal explains. "We were sitting in a car on a road trip playing these r

The Verge TechRead original
ExternalSoftware Engineering
DZone

The Embedding Model You Choose Matters More Than Your LLM

The Uncomfortable Truth You’ve spent days prompt-engineering your LLM. You’ve benchmarked Claude against GPT. You’ve debated whether to use Mixtral. But your RAG pipeline is still returning garbage answers, and you’re blaming the wrong component.  The LLM is only as good as the context it receives. Context quality is entirely determined by retrieval. Retrieval quality is entirely determined by your embedding model. Fix the bottom, and the top fixes itself.

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.