About

Hi, I’m Logan Stewart.

I build software, write about the craft, and share the experiments that power loganstewart.dev. This site is my workshop for long-form essays, quick news, and the behind-the-scenes work that ties it all together.

See what’s new Read the essays

Quick facts

Full-stack engineer & builder of loganstewart.dev
.NET, C#, and Blazor enthusiast
Pragmatic approach to architecture, testing, and DX
Writes about leadership, shipping, and learning in public

What I do

Latest updates

Build & ship

I design and deliver web experiences using .NET, Blazor, and modern cloud tooling—with a focus on maintainability and clear UX.

Write & teach

I publish essays and notes on software craftsmanship, leadership, and the lessons learned while shipping real products.

Experiment

I explore new frameworks, patterns, and workflows, then share what works so others can skip the dead ends.

Partner

I enjoy collaborating with teams that care about thoughtful architecture, reliable releases, and clear communication.

AI practice

AI notes

GitHub Copilot Pro

Daily driver for pairing, refactors, and faster delivery. I use Copilot Pro to keep momentum high without sacrificing code quality.

Local LLMs

I run self-hosted models for privacy, latency, and cost control. These back the AI features in my apps, including Miskowin.com.

RAG for decisions

I wire LLMs into retrieval-augmented pipelines so teams can surface context, summarize quickly, and make business decisions with confidence.

Cost-effective delivery

Practical mix of hosted and local inference to keep spend predictable while shipping AI features that stay responsive under load.

What this site is about

Browse the archive

loganstewart.dev is a living notebook. You’ll find deep dives, build logs, and short news items about what I’m making, how I think about the work, and the tools I rely on. Everything is written to be practical, honest, and helpful.

How I work

See the latest

Principles

Ship small, learn fast, iterate.
Design for readability first; optimize after measuring.
Automate what hurts, document what repeats.
Keep feedback loops short—in code, in teams, in writing.

Stack

.NET, C#, Blazor, Entity Framework Core, and the supporting cast that keeps this site running fast and reliable.