Network failures and retries are inevitable in distributed systems. Without idempotency, duplicate requests create double charges and data corruption. This guide shows how to implement idempotent APIs in ASP.NET Core using action filters, Redis, and idempotency keys to handle retries safely.
Most design principles focus on extensibility and reuse. Delete-Driven Design flips the question: how easy is it to remove code safely? This post explains why delete-ability is the ultimate test of boundaries, abstractions, and tests—and how to design systems that accept change without fear.
Service layers were meant to coordinate use cases, but in many systems they become dumping grounds for business logic. This post explains why that happens, how it leads to anemic domain models and brittle tests, and what to do instead.
Frameworks change, but the hardest problems in production software don’t. This post explores what senior developers should actually care about in 2026 - judgment, boundaries, domain modeling, performance, testing, and communication - long after the hype fades.
Most engineering mistakes don’t come from ignorance—they come from good intentions applied too early. This post reflects on real-world trade-offs around abstractions, service layers, Clean Architecture, testing, and what I’d do differently today.
Discover when it’s justified to break SOLID principles for performance in C#. Learn how to measure, isolate, and document exceptions, see real-world trade-offs, and keep your codebase maintainable, even in the engine bay of high-throughput systems.