.NET Study Hub

Welcome!

This space is my personal knowledge hub focused on the .NET ecosystem, built with a long-term mindset. Here I organize notes, concepts, patterns, and practical insights developed over time — not quick tutorials, but structured understanding.

Each section represents a career path or area of mastery within modern software development. They are interconnected, but intentionally separated to keep focus, depth, and clarity.

This is a living document. It evolves as real-world experience grows.

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Choose your path

Each block below represents a dedicated study space.

You can explore them independently or follow a natural progression — from fundamentals to architecture, from code to people, from systems to intelligence.

.NET Developer Fundamentals

Foundation first. Always.

Core concepts of the .NET platform, C#, runtime behavior, memory, types, collections, async/await, error handling, and the fundamentals that never expire.

This is where everything starts — and where strong developers constantly return.

.NET Data Access

Data is permanent. Code is not.

ADO.NET, Entity Framework, performance considerations, transactions, concurrency, migrations, and the truth behind ORMs.

Focused on understanding how .NET applications really talk to databases.

ASP.NET / Blazor Developer

From backend to UI — with purpose.

ASP.NET Core, APIs, MVC, minimal APIs, authentication, authorization, middleware, and Blazor (Server and WebAssembly).

Building web systems that are clean, scalable, and maintainable.

DevOps

If it doesn’t run in production, it doesn’t matter.

CI/CD, containers, Docker, cloud concepts, monitoring, logging, and operational discipline applied to .NET applications.

Bridging the gap between code and reality.

Advanced .NET Developer

Beyond syntax. Into internals.

CLR internals, performance tuning, threading, memory management, unsafe code, diagnostics, advanced async patterns, and design trade-offs.

This space is about mastery, not shortcuts.

Software Architecture

Decisions that outlive frameworks.

Architectural styles, patterns, trade-offs, distributed systems, cloud-native design, scalability, resilience, and evolution.

Focused on thinking, not tooling.

Soft Skills

Great systems are built by people.

Communication, technical writing, mentoring, decision-making, leadership, and professional maturity.

Because technical excellence alone doesn’t scale.

Artificial Intelligence

Understanding the next layer of abstraction.

AI concepts, LLMs, model integration, automation, responsible use, and how AI fits into modern software systems — not hype, but applied intelligence.