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AI agents are having a moment. Coding assistants like Cline and Claude Code, customer-support bots, DevOps copilots — they're moving from demo reels into real workflows fast. It's genuinely exciting, and it's also where a lot of teams are about to learn some expensive lessons. Agents are being deployed across AWS in ev
Why Running It Locally The usual reason given is privacy, and it’s a real one. A prompt sent to a local model never leaves the machine, which changes the conversation with your security people from a negotiation into a non-event. But three other reasons matter more day to day. Cost goes to zero at the margin. Iterating
Need a break from reading and want to check out some video content? This episode of The Neuron AI Explained is worth watching! Hosts Corey and Grant take a closer look at GPT-6 Astra and Google's Gemini 3.8 Flash, sharing their thoughts on how these models perform beyond the benchmark scores. Sourced from The Neuron AI
Data integration used to be treated as back-office plumbing. Difficult, yes, and always operationally critical, but rarely seen as strategic. That has changed. The Data Integration Landscape 2026 maps this shift across three communication paradigms and every major vendor. The largest software companies in the world hav
Claude Code has changed how many people write software. You type in the terminal, ask for a change, and the tool reads files, edits code, runs commands, and reports back. For a lot of daily work, it feels fast and useful. Still, 2 problems show up again and again. First , you hit usage limits. A long coding session can
The City Traffic Analogy Imagine a city's traffic system during rush hour. A minor accident blocks one lane on a major highway. Traffic slows down, but the road remains partially functional.
Making a Databricks-owned Delta table queryable from Snowflake without copying it is one of those things where every individual piece — Delta Lake UniForm, Unity Catalog, private connectivity — is documented somewhere on its own, but nobody writes up how they actually fit together end to end. If you've been asked to gi
Architecture Review Boards (ARBs) have traditionally evaluated application architectures against key enterprise criteria such as security, scalability, integration, resilience, supportability, and compliance. With the rapid adoption of artificial intelligence (AI), machine learning (ML), and generative AI technologies,
I wanted a Nest Hub that I could actually program. Something on the kitchen wall that shows the time, the weather, my teams, what's cooking and what's playing, and that answers when I talk to it. That is Dash: an open-source ambient display for any tablet or screen in kiosk mode, one config.json , six languages, free d
Kestra is an open-source workflow orchestration platform that unifies IT scheduling, data pipelines, business processes, infrastructure automation, and AI agents under one declarative, event-driven control plane. As enterprises modernize legacy systems and adopt agentic AI, unified enterprise workflow orchestration is
This is the first of eight articles about how web apps work on iOS, and it has less code than the rest. Here I look at where the oddities come from, the ones everyone who ships a PWA to the iPhone ends up living with. Open the <head> of almost any PWA built in 2026 and next to the manifest link you'll most likely find
Genkit and ADK (Agent Development Kit) are both Google-backed Gen AI frameworks with first-class Go SDKs, and I keep getting the same question: what is actually different when you sit down and write the code? This is not a "which one is better" article. They point at different problems: ADK is an agent orchestration fr
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