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.

ExternalDatabase
Redis Blog

Connect AI agents to data sources with Redis

An AI agent that can't reach your data is just a chatbot with opinions. Without runtime context, a model only knows its training data and whatever sits in the current prompt. So your app has to feed it production-specific facts at runtime: your produc...

Tech DE
Redis BlogRead original
ExternalDatabase
Redis Blog

Multi-agent observability: why one trace isn't enough

A single AI agent is usually easy to trace. One loop, one context window, one trace—you can read it top to bottom, spot the bad prompt or the failed tool call, and fix it. Multi-agent systems are different. Agents, shared memory, and external tools sp...

Tech DE
Redis BlogRead original
ExternalTechnology Trends
HN RSS Newest

Ask HN: What's Next for LLMs?

I've been using DeepSeek v4 flash for guided agent workflows (in-IDE, prompt/review diffs) and have found no noticeable benefit to using Haiku, Opus, Sonnet in this workflow. For around a dollar a day, I am able to more than double my own productivity. What are the frontier models for/what are they trying to solve? Are they designed to one shot applications? Is the expectation that we want to be able to "yolo" prompt LLMs and have them complete work unsupervised? Comments URL: https://news.ycomb

HN RSS NewestRead 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.