Resources

Notes from the edge

Practical notes on AI engineering, systems, and security.

June 20, 2026

Vibe Coding for Healthcare

How vibe coding speeds up healthcare AI, from clinical data pipelines to patient-facing apps. A practical guide inspired by Stanford's AI in Healthcare curriculum.

June 19, 2026

Reducing AI Costs: How Smart Model Choices Cut Spending 9x

Most teams overpay for AI by using the wrong models for the right tasks. Here's how tiered model routing cuts costs by 9x without sacrificing quality.

June 18, 2026

What is Vibe Coding?

Vibe coding is a way of building software where you describe what you want in plain language and AI generates the code. Here's what it actually looks like and when it works best.

June 18, 2026

Building fast, reproducible CI/CD pipelines

Most CI/CD pipelines are accidentally slow. They rebuild the world, copy layers they do not need, and treat cache as an afterthought. Here is how I use Dagger, reproducible containers, and aggressive caching to turn multi-hour builds into minutes.

June 10, 2026

Linux hardening for AI workloads

GPU clusters are high-value targets. This post walks through the practical hardening checklist I apply before any model touches production: Secure Boot, encrypted volumes, least-privilege SSH, network segmentation, and audit logging.

May 28, 2026

Agentic systems that do not hallucinate their responsibilities

Delegating decisions to an agent is easy. Delegating accountability is not. I share the governance patterns, observability hooks, and kill switches that keep agentic workflows safe and auditable.

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