AI Engineering Featured Skills Are a Start, Not the System Skills provide capability. Workflows direct the work. Harnesses control execution. Factories make the whole system repeatable. This article proposes the architectural boundaries between them and extends the factory model beyond software delivery into enterprise work.
Agency An LLM in Your App Is Not Agency The difference is between an LLM-powered feature, an orchestrated workflow, and a system that can act with bounded agency.
AI Engineering When Code Becomes FLUID, Where Does the Engineer Go? HydraFlow as a live test of FLUID systems and the operating patterns that emerged from running one.
AI Engineering Featured From Hype to Throughput: Landing Your First Agentic AI Use Case Most teams are building AI agents. Few are getting real value. The difference is not better prompts, it’s better systems. Here’s how to land your first agentic AI use case using a Vibe-to-Value loop, with evals, guardrails, and measurable outcomes.
AI Augmentation The AI Quant: How Vibe Engineering Outruns Automation Most teams chase automation to cut costs and move faster, but the real advantage is augmentation. When humans and AI think together, output becomes exponential. Automation scales work; augmentation scales intelligence. The future belongs to those who amplify, not replace.
AI Engineering Is Context Management the New Memory Management? From malloc to meaning: how decades-old instincts about memory management find new life in the age of context windows and retrieval graphs.
