Developer Tools: GitHub Highlights Token Efficiency in Agentic Workflows
GitHub’s work on token efficiency is a reminder that agentic workflows can quietly become expensive at scale. Teams should log token use, cache repeated co
GitHub’s work on token efficiency is a reminder that agentic workflows can quietly become expensive at scale. Teams should log token use, cache repeated co

A practical readiness checklist for small businesses considering a self-hosted LLM in 2026, covering privacy, cost, hardware, access control, operations, and when managed AI tools are still the better fit.

Zero trust server security sounds grand until you’re staring at a pager at 2:11 a.m. with a blast of failed SSH attempts and a CPU graph that looks like a picket fence. That was me last spring. A forgotten jump box, a stale local admin, and a permissive security group invited trouble. We got lucky—no data moved, the doors slammed shut, and the lessons stuck. Since that night, I’ve been ruthless about small, boring controls that add up to a fortress. What follows is the exact playbook I reach for now, tuned for 2025 realities and written for folks who actually have to run this stuff at 3 a.m. Here’s the vibe: honest tactics, minimal heroics, and lots of receipts....

Three winters ago I got paged at 2:17 a.m. A demo cluster for an investor run-through was dropping frames. The culprit? A “temporary” test rig doing double duty as an AI server for video captioning and a grab bag of side projects. My eyes were sand; the wattmeter was screaming. The fix wasn’t a tweet, it was a rebuild—honest power math, sane storage, real cooling, and a scheduler that didn’t panic when a job went sideways. This guide is everything I’ve learned since: a no‑hype, hands‑dirty map to spec, wire, and run an AI server that stays fast after midnight. Why “AI Server” Is Its Own Species Call it what it is: a race car with a mortgage. A...

Cursor Rules help turn AI coding from a one-off chat into a repeatable team workflow. This guide explains when to use project rules, how to structure safer instructions, and what to check before letting an AI assistant edit production code.