Hexmos

AI can write the CSS. The hard part is making it not look like every other AI-generated website. Purple gradients. Inter. Rounded cards. You know the rest. Your taste is the moat. We wrote about how we teach AI some actual design taste: https://lnkd.in/dwDCvr9u

Ask an LLM to write SQL against your production database, and it will often run clean, return real rows, and still be wrong. That's the real bottleneck in any "chat with your database" system. The models are good at SQL generation as long as you can provide them all the necessary context. The problem is in programmatically telling the model what your database actually contains, and that part is genuinely hard to get right. So we built it, and open-sourced it. dbctx (MIT license) compiles a live Postgres database into a compact, queryable context file: → Reads real schema + real data, not just column names → Surfaces enum values, JSONB structure, and foreign-key joins nothing declares → Compiles it into one small file, queryable in ~100ms → Zero LLM calls to build or search the index If you're building a text-to-SQL tool, an AI agent, or any "talk to your data" feature, this is the part you'd otherwise have to build yourself. We're giving it away so you don't have to. CLI + Go library, real numbers from our own production DB, and the scoring math behind it: https://lnkd.in/dj53mBZs

Your AI agent forgets everything between sessions. Memory layers fix that. This guide covers how they work, wiring mem0 into Claude Code, and what it looks like in practice. Here is the article 👇 : https://lnkd.in/d7j67tiy

Learn how to create and host your own AI second brain with Hermes. This guide covers setup, hosting, and a few practical use cases to get you started. https://lnkd.in/g-ApAsdE

Cloud computing is more than running applications on someone else's servers. Understanding these five concepts makes it much easier to design reliable, scalable, and cost-effective systems: • Shared Responsibility Model • Public, Private & Hybrid Cloud • Consumption-Based Pricing • High Availability vs. Scalability • Reliability vs. Predictability A practical guide for developers learning Azure, AWS, or GCP. Read the article: https://lnkd.in/g_RmeMwK #CloudComputing #AWS #Azure #GCP #DevOps #SoftwareEngineering

Free hosting, free database, free auth, a Chrome extension talking to a Google Sheet through an Apps Script Web App isn't a "serious" architecture. For a personal tool, it's a fantastic trade. But redeploying by hand is brutal. Every fix means cutting a new version and pasting a fresh /exec URL back into your code. clasp fixes this: update an existing deployment in place and keep the same URL forever, turning a 10-step manual release into a single command. One of our teammates breaks down the whole journey (and why he ended up weirdly fond of clasp) in our latest post: https://lnkd.in/d2KSwhZm

Benchmarks feel objective. Precise. Authoritative. That's exactly why you should be cautious in relying on them. I spent 3 days dissecting the "Code Review Bench" methodology -- one of the more serious attempts at benchmarking AI code review out there. My conclusion: it's measuring the wrong thing, because AI code review has split into two completely different problems, with two different consumers, and nobody's benchmarking them separately. Wrote up why: https://lnkd.in/dNZVzfwp

Manage finance like a codebase. Found an open-source tool called Beancount that treats your entire financial life like a codebase, plain text, versioned, diffable. Explored the format, the setup, and even watched a forgotten coffee expense show up as a clean git diff. 💸 Wrote up the whole thing here: https://lnkd.in/d9Dz4tB3 Respect to Martin Blais, who's quietly built and maintained this since 2007. 🚀

Neural networks don’t really feel understandable until you build one yourself. This article walks through building a neural network from scratch in PyTorch, showing how the forward pass, backpropagation, and gradient descent come together step by step. https://lnkd.in/gHVHvkXT

How PainlessMesh Turns Your NodeMCU Into a Network That Heals Itself What if your IoT devices could automatically find new routes when a node goes offline? PainlessMesh enables self-healing mesh networks where ESP8266 and ESP32 devices discover peers, reroute traffic, and stay connected without routers or manual configuration. Read more: https://lnkd.in/gWcxvYUY