Everyone talks about SOLID principles. Your senior dev mentions them in code review. Your architecture docs reference them. But why do actual projects become unmaintainable garbage despite teams “knowing” SOLID? The answer: understanding SOLID and actually building with it are two completely different things [1].
Most developers learn about SOLID early, nod along, then immediately violate these principles the moment a deadline hits. Let me show you where the rubber meets the road — and why it’s harder than it sounds.
What is SOLID, and Why Should You Care?
SOLID is five design principles that reduce tight coupling and improve code maintainability [1]. The acronym stands for:
- Single Responsibility Principle — A class should have one reason to change
- Open/Closed Principle — Classes should be open for extension, closed for modification
- Liskov Substitution Principle — Subtypes must be substitutable for their base types
- Interface Segregation Principle — Clients shouldn’t depend on interfaces they don’t use
- Dependency Inversion Principle — Depend on abstractions, not concrete implementations
Without these principles, codebases become rigid. One change in one place breaks five other places. New features require touching legacy code that “works but nobody wants to touch it.” Tests are impossible to write. That’s where most projects live [2].
With SOLID, your codebase breathes. Changes stay isolated. New features don’t ripple through the system. Tests run in isolation. Onboarding new developers doesn’t require archaeological digs through 10-year-old code.
Real-World Violations: Where SOLID Goes Missing
The God Class — Everything in One Place
I’ve seen this a hundred times. A UserManager class that handles user data, email sending, password hashing, logging, payment processing, and authentication. All in one file. All tangled together [3].
class UserManager {
public void createUser(String email, String password) {
validateEmail(email);
hashPassword(password);
saveToDatabase(email, password);
sendWelcomeEmail(email);
logUserCreation(email);
chargeSignupFee(email);
trackAnalyticsEvent(email);
}
private void sendWelcomeEmail(String email) { /* ... */ }
private void saveToDatabase(String email, String password) { /* ... */ }
private void chargeSignupFee(String email) { /* ... */ }
// 50 more methods doing unrelated things
}
This is Single Responsibility Principle violated completely. Want to change how you send emails? You modify UserManager. Want to change payment logic? You modify UserManager. Want to add a new log format? You modify UserManager. Now you’re testing payment code when you just wanted to tweak the welcome email template.
The fix: Split into separate classes [1]. One handles user persistence. Another sends emails. A third processes payments. A fourth handles logging. Now each class has one reason to change.
Tight Coupling — The Payment System Problem
You write code that directly depends on a specific payment provider: StripePaymentProcessor. It works. Your business grows. Now you want to support PayPal. Or cryptocurrency. Or some new local payment system [4].
class OrderService {
private StripePaymentProcessor stripe = new StripePaymentProcessor();
public void processOrder(Order order) {
// ... validation code ...
stripe.charge(order.getAmount());
}
}
To add PayPal support, you modify OrderService. To add crypto, you modify it again. You’re modifying business logic code for every payment provider you add. That violates the Open/Closed Principle — your code should be open for extension (new payment types) but closed for modification [2].
The fix: Depend on an abstraction:
interface PaymentGateway {
void charge(BigDecimal amount);
}
class OrderService {
private PaymentGateway gateway;
public OrderService(PaymentGateway gateway) {
this.gateway = gateway;
}
public void processOrder(Order order) {
gateway.charge(order.getAmount());
}
}
Now add PayPal? Create a PayPalPaymentGateway, inject it, done. Your OrderService never changes [4].
Fat Interfaces — Forcing Implementations of Unused Methods
You create an interface that’s “comprehensive”:
interface PaymentProcessor {
void charge(BigDecimal amount);
void refund(BigDecimal amount);
void setupRecurringPayment(BigDecimal amount, Frequency frequency);
void validateCard(String cardNumber);
void handleChargebackDispute(String transactionId);
}
Then a CryptoCurrencyPayment class implements this interface. Except crypto doesn’t do recurring payments. It doesn’t do chargebacks. The developers are forced to throw NotImplementedException for half the methods [3].
This violates the Interface Segregation Principle. Create smaller, focused interfaces instead:
interface Chargeable {
void charge(BigDecimal amount);
}
interface Refundable {
void refund(BigDecimal amount);
}
interface RecurringBillable {
void setupRecurring(BigDecimal amount);
}
Now CryptoCurrencyPayment implements only Chargeable. No fake implementations. No confusion [3].
Why It’s So Hard to Follow SOLID Principles
Understanding why we violate SOLID is more important than memorizing the rules.
The Deadline Trap
You’re on sprint day 9 of a 10-day sprint. The feature needs to be done. You could refactor the UserManager class, split it properly, inject dependencies. Or you could add a method to the existing class in 5 minutes.
You add the method [5].
Tomorrow, another deadline. Another small addition to the existing class. By week two, you’ve violated SOLID so many times that fixing it would take days. By month two, nobody dares touch that code. This is how most projects end up. Not because developers are lazy. Because deadlines are real and refactoring costs time upfront.
The Vagueness of the Principles
Single Responsibility sounds simple: one reason to change. But what’s “one reason”? Is a User class with email and password validation one responsibility or two? Is a Payment class handling both charge and refund one responsibility? [5]
Different developers interpret this differently. I’ve seen teams split a user email into five separate classes (over-engineering). I’ve seen other teams put 50 methods in one class (under-engineering). There’s no bright line.
Over-Engineering and Over-Abstraction
Junior developers read about SOLID and go wild. They apply every principle to every problem. A simple form validation class gets refactored into three abstract classes, two interfaces, and a dependency injection container [5].
The code becomes harder to read, not easier. You need to jump between five files to understand what should be three lines of logic. Your test suite becomes more complex than the actual code.
SOLID principles are tools, not laws. A simple script doesn’t need SOLID. A utility function doesn’t need SOLID. A one-off data processing job doesn’t need SOLID. SOLID matters for codebases that will live for years and need continuous change [5].
Team Alignment is Hard
Even if your team agrees to follow SOLID, interpreting it is a source of constant debate [5].
- Senior dev says: “This class has too many methods, split it.”
- Junior dev says: “But it’s all related to payments, should be together.”
- Architect says: “Neither of you are thinking about the interface segregation issue here.”
Six months in, your codebase looks like three different people wrote it with three different interpretations of SOLID. Code review becomes about debating principles instead of shipping features.
Legacy Code is Expensive to Refactor
Most projects don’t start clean. They start with one file doing everything. Then it grows. Then SOLID matters. Then refactoring it becomes a nightmare.
You can’t just split the UserManager class. It has 500 dependencies throughout the codebase. Database connection strings hardcoded. Configuration baked in. Global state scattered around [5].
Refactoring it “properly” means touching 200 files. The risk of breaking something is high. Your tests (if they exist) are slow and fragile because they depend on the God class.
Why Projects Still Need SOLID
Despite all these challenges, projects that follow SOLID are dramatically easier to maintain [1]. Here’s the thing: you don’t feel the pain of violating SOLID for the first few months. You feel it after a year.
After a year of adding features to the God class, that one payment processing method is now 200 lines long. It handles edge cases for three different payment providers, legacy payment types, and a VIP user tier system. When you need to add a fourth provider, you’re terrified to change this method.
After a year of tight coupling, refactoring a database layer means touching 50 files. After a year of fat interfaces, adding a new implementation requires writing stub methods in five classes.
SOLID is expensive upfront. It’s cheap long-term.
Projects that never learned this lesson end up with “legacy code” that can’t be changed because it’s too risky. New features take weeks instead of days. Simple bug fixes require understanding six intertwined classes. That’s when people rewrite the entire system (which is almost never the solution).
End
Sources
- SOLID Principles with Real Life Examples - GeeksforGeeks
- SOLID Design Principles Explained: Building Better Software Architecture - DigitalOcean
- SOLID Design Principles: The Single Responsibility Explained - Stackify
- The Dependency Inversion Principle in Java - Baeldung
- 5 Problems Faced When Using SOLID Design Principles - Better Programming