maverickeye

I put together a full breakdown of the five layers of an AI-ready operating model, what it takes to build one, and why this is ultimately a business design decision, not a technology procurement decision.

This is a short, opinionated write-up on enterprise architecture based on practical experience rather than frameworks or vendor material.

It focuses on where EA tends to fail in practice, what actually creates leverage, and how architecture shows up in day-to-day decisions.

It’s intentionally concise and evolving, more field notes than a formal guide.

Posting to see what resonates (or doesn’t) with others doing similar work.

We’ve been standardizing .NET practices across multiple teams and kept running into the same issues: inconsistent conventions, hard-to-review code, and “style debates” that slow delivery.

This repo captures the coding guidelines we actually use in practice: focused on readability, maintainability, and avoiding common .NET foot-guns.

It’s intentionally opinionated but grounded in real-world usage. Feedback and counter-examples welcome.

Also check out Coding standards. https://github.com/justinamiller/Coding-Standards

Depends on the culture of the organization, there has to be someone(s) who owns the blueprints and are creating a foundation for IT alignment within business execution.

https://github.com/justinamiller/LiteStringBuilder Alternative to the System.Text.StringBuilder C# class.

https://github.com/justinamiller/LightObjectPool Fast, light weight, thread safe object pool

https://github.com/justinamiller/Coding-Standards a good topic on coding standards.

it is threadsafe; there is a unit test for it.

Objects are create on the demand with maximum number.