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Enterprise overengineering is a common pitfall in web development, where developers add unnecessary complexity to applications that donât require it. Instead of building scalable, maintainable solutions, they introduce excessive layersâCQRS, event buses, mediators, and multiple service layersâfor simple CRUD apps. The result? Slower development, harder maintenance, and frustrated teams.
You Should Know:
1. Start Simple
Avoid premature optimization. Begin with a straightforward architecture and scale only when necessary.
Example (ASP.NET Core Minimal API):
var builder = WebApplication.CreateBuilder(args);
var app = builder.Build();
app.MapGet("/products", () => db.Products.ToList());
app.MapPost("/products", (Product p) => db.Products.Add(p));
app.Run();
2. Avoid Unnecessary Abstractions
Not every class needs an interface. Use them only when required (e.g., testing, multiple implementations).
Bad Practice:
public interface IProductService { / ... / }
public class ProductService : IProductService { / ... / }
Better Approach (if no multiple implementations):
public class ProductService { / ... / }
3. Keep Projects Consolidated
Splitting code into multiple projects too early adds complexity. Start with a single project and modularize later.
Linux Command to Check Project Dependencies (if using .NET CLI):
dotnet list package
4. Monitor Performance Early
Use tools like dotnet-counters to detect bottlenecks:
dotnet tool install --global dotnet-counters dotnet counters monitor --process-id <PID>
5. Refactor Only When Needed
Donât introduce microservices prematurely. A well-structured monolith can outperform a poorly designed distributed system.
Windows Command to Check Running Services (if migrating):
Get-Service | Where-Object { $_.Status -eq "Running" }
What Undercode Say:
Overengineering kills productivity. The best systems evolveâthey arenât overbuilt from day one. Follow these principles:
– KISS (Keep It Simple, Stupid) â Complexity should solve problems, not create them.
– YAGNI (You Arenât Gonna Need It) â Build only whatâs necessary today.
– Measure Before Optimizing â Use profiling tools before deciding on architectural changes.
For deeper insights, check the Evolutionary Architecture GitHub repo:
đ https://github.com/evolutionary-architecture/evolutionary-architecture-by-example
Expected Output:
A maintainable, scalable application that grows with real needsânot hypothetical ones.
( extracted from LinkedIn post, focusing on .NET overengineering. Removed non-IT links and comments.)
References:
Reported By: Kristijankralj The – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass â
