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AI Engineering

A collection of 4 posts
When Code Becomes FLUID, Where Does the Engineer Go?
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.
11 May 2026 6 min read
From Hype to Throughput: Landing Your First Agentic AI Use Case
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.
28 Apr 2026 3 min read
The AI Quant: How Vibe Engineering Outruns Automation
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.
10 Nov 2025 6 min read
Is Context Management the New Memory Management?
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.
09 Oct 2025 2 min read
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