Is It Normal to Spend a Long Time Understanding an Unfamiliar C# Codebase?

Reading carefully is not a sign that you’re slow. It’s part of becoming good at debugging and working with large systems. Poor documentation makes this harder, so the code itself may be your main source of information.

Write down a small diagram of the important components, record what each one appears to do, and check your assumptions by running the application or tests. Over time you’ll get faster at spotting the project’s patterns, but there’s no shortcut that replaces understanding the actual flow.

You usually don’t need to understand every class before changing one, but adding a complete feature is different from making a small modification. A new feature has to fit into the project’s existing flow, conventions, and dependencies, so some investigation is necessary.

A practical approach is to find a similar existing feature and follow it from its entry point through the relevant services, models, and storage code. Make a small change or prototype first, then use the compiler, tests, and debugger to confirm your understanding. That is often faster than trying to build a complete mental model upfront.

Yes, this is completely normal, especially when you’re moving from Python to C# and learning the project’s architecture at the same time. Thirty minutes is not very long for understanding an unfamiliar codebase; sometimes people spend days mapping out a system before making a safe change.

The useful skill is recognizing patterns. Concepts such as dependency injection, asynchronous code, layering, and data flow exist in many languages even though the syntax differs. Try to map the C# implementation to concepts you already know from Python instead of treating every file as completely new.

Also, don’t try to understand the entire project at once. Start with the specific path your feature needs, trace how data moves through it, and only investigate unrelated classes when they become relevant.