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5 Practical Tips for Acing Senior-Level System Design Interviews

Senior-level system design interviews can feel overwhelming, even for experienced engineers. They test not only how well you design systems, but how clearly you think, communicate, and adapt in real time. After going through several of these interviews and learning a few lessons the hard way, I put together five practical tips that can help you approach them with more structure, confidence, and impact.

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7 Fallback Strategies for Resilient Systems: Instant Answers in Crisis

In software system design, fallback strategies are mechanisms that ensure a system remains responsive when queries fail or take too long due to network issues, service outages, or high load. These strategies provide alternative responses, such as cached data, defaults, or approximate results, to prevent user-facing delays or errors. The following seven strategies are designed for scenarios where the system must synchronously return an instant answer, maintaining a seamless user experience even under adverse conditions. Each strategy includes a real-world scenario and a C# implementation, making this guide ideal for developers building fault-tolerant applications.

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Ubiquitous Language in C#: A 5-Step Guide Backed by 9 Naming Principles to Implement Ubiquitous Language at Code Level

Clear naming is not just a style preference; it is a core design decision. In this post, I share a practical, code-focused guide to implementing Ubiquitous Language in C# using a simple five-step approach backed by nine concrete naming principles. The goal is to help teams align code with business language, reduce misunderstandings, and make domain intent obvious across all layers of the system. If you care about Domain-Driven Design, maintainability, and writing code that truly communicates, this one is for you.

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Untangling Chaos: Refactoring Code Without Business Knowledge!

Ever inherited a codebase that feels impossible to touch because no one really knows how the business logic works anymore? This post explores a practical, low-risk approach to refactoring messy legacy code even when domain knowledge is missing. Instead of risky rewrites, it focuses on structure, clarity, and behavior preservation so teams can improve maintainability today while creating space to understand and evolve the business logic tomorrow.

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