Clean code c#

CleanCode.md

Table of Contents

• Table of Contents
• Introduction
• Clean Code
  • Naming
  • Variables
  • Functions
  • Objects and Data Structures
  • Classes
  • SOLID
  • Testing
  • Concurrency
  • Error Handling
  • Formatting
  • Comments
• Other Clean Code Resources
  • Other Clean Code Lists
  • Style Guides
  • Tools
  • Cheatsheets
• Contributors
• Backers
• Sponsors
• License

Introduction

Not every principle herein has to be strictly followed, and even fewer will be universally agreed upon. These are guidelines and nothing more, but they are ones codified over many years of collective experience by the authors of Clean Code.

Clean Code

Naming

Avoid using bad names

A good name allows the code to be used by many developers. The name should reflect what it does and give context.

Bad:

int d;

Good:

int daySinceModification;

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Avoid Misleading Names

Name the variable to reflect what it is used for.

Bad:

var dataFromDb = db.GetFromService().ToList();

Good:

var listOfEmployee = _employeeService.GetEmployees().ToList();

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Avoid Hungarian notation

Hungarian Notation restates the type which is already present in the declaration. This is pointless since modern IDEs will identify the type.

Bad:

int iCounter;
string strFullName;
DateTime dModifiedDate;

Good:

int counter;
string fullName;
DateTime modifiedDate;

Hungarian Notation should also not be used in paramaters.

Bad:

public bool IsShopOpen(string pDay, int pAmount)
{
    // some logic
}

Good:

public bool IsShopOpen(string day, int amount)
{
    // some logic
}

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Use consistent capitalization

Capitalization tells you a lot about your variables, functions, etc. These rules are subjective, so your team can choose whatever they want. The point is, no matter what you all choose, just be consistent.

Bad:

const int DAYS_IN_WEEK = 7;
const int daysInMonth = 30;

var songs = new List<string> { 'Back In Black', 'Stairway to Heaven', 'Hey Jude' };
var Artists = new List<string> { 'ACDC', 'Led Zeppelin', 'The Beatles' };

bool EraseDatabase() {}
bool Restore_database() {}

class animal {}
class Alpaca {}

Good:

const int DaysInWeek = 7;
const int DaysInMonth = 30;

var songs = new List<string> { 'Back In Black', 'Stairway to Heaven', 'Hey Jude' };
var artists = new List<string> { 'ACDC', 'Led Zeppelin', 'The Beatles' };

bool EraseDatabase() {}
bool RestoreDatabase() {}

class Animal {}
class Alpaca {}

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Use pronounceable names

It will take time to investigate the meaning of the variables and functions when they are not pronounceable.

Bad:

public class Employee
{
    public Datetime sWorkDate { get; set; } // what the heck is this
    public Datetime modTime { get; set; } // same here
}

Good:

public class Employee
{
    public Datetime StartWorkingDate { get; set; }
    public Datetime ModificationTime { get; set; }
}

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Use Camelcase notation

Use Camelcase Notation for variable and method paramaters.

Bad:

var employeephone;

public double CalculateSalary(int workingdays, int workinghours)
{
    // some logic
}

Good:

var employeePhone;

public double CalculateSalary(int workingDays, int workingHours)
{
    // some logic
}

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Use domain name

People who read your code are also programmers. Naming things right will help everyone be on the same page. We don't want to take time to explain to everyone what a variable or function is for.

Good

public class SingleObject
{
    // create an object of SingleObject
    private static SingleObject _instance = new SingleObject();

    // make the constructor private so that this class cannot be instantiated
    private SingleObject() {}

    // get the only object available
    public static SingleObject GetInstance()
    {
        return _instance;
    }

    public string ShowMessage()
    {
        return "Hello World!";
    }
}

public static void main(String[] args)
{
    // illegal construct
    // var object = new SingleObject();

    // Get the only object available
    var singletonObject = SingleObject.GetInstance();

    // show the message
    singletonObject.ShowMessage();
}

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Variables

Avoid nesting too deeply and return early

Too many if else statements can make the code hard to follow. Explicit is better than implicit.

Bad:

public bool IsShopOpen(string day)
{
    if (!string.IsNullOrEmpty(day))
    {
        day = day.ToLower();
        if (day == "friday")
        {
            return true;
        }
        else if (day == "saturday")
        {
            return true;
        }
        else if (day == "sunday")
        {
            return true;
        }
        else
        {
            return false;
        }
    }
    else
    {
        return false;
    }

}

Good:

public bool IsShopOpen(string day)
{
    if (string.IsNullOrEmpty(day))
    {
        return false;
    }

    var openingDays = new[] { "friday", "saturday", "sunday" };
    return openingDays.Any(d => d == day.ToLower());
}

Bad:

public long Fibonacci(int n)
{
    if (n < 50)
    {
        if (n != 0)
        {
            if (n != 1)
            {
                return Fibonacci(n - 1) + Fibonacci(n - 2);
            }
            else
            {
                return 1;
            }
        }
        else
        {
            return 0;
        }
    }
    else
    {
        throw new System.Exception("Not supported");
    }
}

Good:

public long Fibonacci(int n)
{
    if (n == 0)
    {
        return 0;
    }

    if (n == 1)
    {
        return 1;
    }

    if (n > 50)
    {
        throw new System.Exception("Not supported");
    }

    return Fibonacci(n - 1) + Fibonacci(n - 2);
}

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Avoid mental mapping

Don’t force the reader of your code to translate what the variable means. Explicit is better than implicit.

Bad:

var l = new[] { "Austin", "New York", "San Francisco" };

for (var i = 0; i < l.Count(); i++)
{
    var li = l[i];
    DoStuff();
    DoSomeOtherStuff();

    // ...
    // ...
    // ...
    // Wait, what is `li` for again?
    Dispatch(li);
}

Good:

var locations = new[] { "Austin", "New York", "San Francisco" };

foreach (var location in locations)
{
    DoStuff();
    DoSomeOtherStuff();

    // ...
    // ...
    // ...
    Dispatch(location);
}

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Avoid magic string

Magic strings are string values that are specified directly within application code that have an impact on the application’s behavior. Frequently, such strings will end up being duplicated within the system, and since they cannot automatically be updated using refactoring tools, they become a common source of bugs when changes are made to some strings but not others.

Bad

if (userRole == "Admin")
{
    // logic in here
}

Good

const string ADMIN_ROLE = "Admin"
if (userRole == ADMIN_ROLE)
{
    // logic in here
}

Using this we only have to change in centralize place and others will adapt it.

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Don't add unneeded context

If your class/object name tells you something, don't repeat that in your variable name.

Bad:

public class Car
{
    public string CarMake { get; set; }
    public string CarModel { get; set; }
    public string CarColor { get; set; }

    //...
}

Good:

public class Car
{
    public string Make { get; set; }
    public string Model { get; set; }
    public string Color { get; set; }

    //...
}

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Use meaningful and pronounceable variable names

Bad:

var ymdstr = DateTime.UtcNow.ToString("MMMM dd, yyyy");

Good:

var currentDate = DateTime.UtcNow.ToString("MMMM dd, yyyy");

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Use the same vocabulary for the same type of variable

Bad:

GetUserInfo();
GetUserData();
GetUserRecord();
GetUserProfile();

Good:

GetUser();

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Use searchable names (part 1)

We will read more code than we will ever write. It's important that the code we do write is readable and searchable. By not naming variables that end up being meaningful for understanding our program, we hurt our readers. Make your names searchable.

Bad:

// What the heck is data for?
var data = new { Name = "John", Age = 42 };

var stream1 = new MemoryStream();
var ser1 = new DataContractJsonSerializer(typeof(object));
ser1.WriteObject(stream1, data);

stream1.Position = 0;
var sr1 = new StreamReader(stream1);
Console.Write("JSON form of Data object: ");
Console.WriteLine(sr1.ReadToEnd());

Good:

var person = new Person
{
    Name = "John",
    Age = 42
};

var stream2 = new MemoryStream();
var ser2 = new DataContractJsonSerializer(typeof(Person));
ser2.WriteObject(stream2, data);

stream2.Position = 0;
var sr2 = new StreamReader(stream2);
Console.Write("JSON form of Data object: ");
Console.WriteLine(sr2.ReadToEnd());

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Use searchable names (part 2)

Bad:

var data = new { Name = "John", Age = 42, PersonAccess = 4};

// What the heck is 4 for?
if (data.PersonAccess == 4)
{
    // do edit ...
}

Good:

public enum PersonAccess : int
{
    ACCESS_READ = 1,
    ACCESS_CREATE = 2,
    ACCESS_UPDATE = 4,
    ACCESS_DELETE = 8
}

var person = new Person
{
    Name = "John",
    Age = 42,
    PersonAccess= PersonAccess.ACCESS_CREATE
};

if (person.PersonAccess == PersonAccess.ACCESS_UPDATE)
{
    // do edit ...
}

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Use explanatory variables

Bad:

const string Address = "One Infinite Loop, Cupertino 95014";
var cityZipCodeRegex = @"/^[^,\]+[,\\s]+(.+?)\s*(\d{5})?$/";
var matches = Regex.Matches(Address, cityZipCodeRegex);
if (matches[0].Success == true && matches[1].Success == true)
{
    SaveCityZipCode(matches[0].Value, matches[1].Value);
}

Good:

Decrease dependence on regex by naming subpatterns.

const string Address = "One Infinite Loop, Cupertino 95014";
var cityZipCodeWithGroupRegex = @"/^[^,\]+[,\\s]+(?<city>.+?)\s*(?<zipCode>\d{5})?$/";
var matchesWithGroup = Regex.Match(Address, cityZipCodeWithGroupRegex);
var cityGroup = matchesWithGroup.Groups["city"];
var zipCodeGroup = matchesWithGroup.Groups["zipCode"];
if(cityGroup.Success == true && zipCodeGroup.Success == true)
{
    SaveCityZipCode(cityGroup.Value, zipCodeGroup.Value);
}

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Use default arguments instead of short circuiting or conditionals

Not good:

This is not good because breweryName can be NULL.

This opinion is more understandable than the previous version, but it better controls the value of the variable.

public void CreateMicrobrewery(string name = null)
{
    var breweryName = !string.IsNullOrEmpty(name) ? name : "Hipster Brew Co.";
    // ...
}

Good:

public void CreateMicrobrewery(string breweryName = "Hipster Brew Co.")
{
    // ...
}

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Functions

Avoid side effects

A function produces a side effect if it does anything other than take a value in and return another value or values. A side effect could be writing to a file, modifying some global variable, or accidentally wiring all your money to a stranger.

Now, you do need to have side effects in a program on occasion. Like the previous example, you might need to write to a file. What you want to do is to centralize where you are doing this. Don't have several functions and classes that write to a particular file. Have one service that does it. One and only one.

The main point is to avoid common pitfalls like sharing state between objects without any structure, using mutable data types that can be written to by anything, and not centralizing where your side effects occur. If you can do this, you will be happier than the vast majority of other programmers.

Bad:

// Global variable referenced by following function.
// If we had another function that used this name, now it'd be an array and it could break it.
var name = "Ryan McDermott";

public void SplitAndEnrichFullName()
{
    var temp = name.Split(" ");
    name = $"His first name is {temp[0]}, and his last name is {temp[1]}"; // side effect
}

SplitAndEnrichFullName();

Console.WriteLine(name); // His first name is Ryan, and his last name is McDermott

Good:

public string SplitAndEnrichFullName(string name)
{
    var temp = name.Split(" ");
    return $"His first name is {temp[0]}, and his last name is {temp[1]}";
}

var name = "Ryan McDermott";
var fullName = SplitAndEnrichFullName(name);

Console.WriteLine(name); // Ryan McDermott
Console.WriteLine(fullName); // His first name is Ryan, and his last name is McDermott

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Avoid negative conditionals

Bad:

public bool IsDOMNodeNotPresent(string node)
{
    // ...
}

if (!IsDOMNodeNotPresent(node))
{
    // ...
}

Good:

public bool IsDOMNodePresent(string node)
{
    // ...
}

if (IsDOMNodePresent(node))
{
    // ...
}

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Avoid conditionals

This seems like an impossible task. Upon first hearing this, most people say, "how am I supposed to do anything without an if statement?" The answer is that you can use polymorphism to achieve the same task in many cases. The second question is usually, "well that's great but why would I want to do that?" The answer is a previous clean code concept we learned: a function should only do one thing. When you have classes and functions that have if statements, you are telling your user that your function does more than one thing. Remember, just do one thing.

Bad:

class Airplane
{
    // ...

    public double GetCruisingAltitude()
    {
        switch (_type)
        {
            case '777':
                return GetMaxAltitude() - GetPassengerCount();
            case 'Air Force One':
                return GetMaxAltitude();
            case 'Cessna':
                return GetMaxAltitude() - GetFuelExpenditure();
        }
    }
}

Good:

interface IAirplane
{
    // ...

    double GetCruisingAltitude();
}

class Boeing777 : IAirplane
{
    // ...

    public double GetCruisingAltitude()
    {
        return GetMaxAltitude() - GetPassengerCount();
    }
}

class AirForceOne : IAirplane
{
    // ...

    public double GetCruisingAltitude()
    {
        return GetMaxAltitude();
    }
}

class Cessna : IAirplane
{
    // ...

    public double GetCruisingAltitude()
    {
        return GetMaxAltitude() - GetFuelExpenditure();
    }
}

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Avoid type-checking (part 1)

Bad:

public Path TravelToTexas(object vehicle)
{
    if (vehicle.GetType() == typeof(Bicycle))
    {
        (vehicle as Bicycle).PeddleTo(new Location("texas"));
    }
    else if (vehicle.GetType() == typeof(Car))
    {
        (vehicle as Car).DriveTo(new Location("texas"));
    }
}

Good:

public Path TravelToTexas(Traveler vehicle)
{
    vehicle.TravelTo(new Location("texas"));
}

or

// pattern matching
public Path TravelToTexas(object vehicle)
{
    if (vehicle is Bicycle bicycle)
    {
        bicycle.PeddleTo(new Location("texas"));
    }
    else if (vehicle is Car car)
    {
        car.DriveTo(new Location("texas"));
    }
}

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Avoid type-checking (part 2)

Bad:

public int Combine(dynamic val1, dynamic val2)
{
    int value;
    if (!int.TryParse(val1, out value) || !int.TryParse(val2, out value))
    {
        throw new Exception('Must be of type Number');
    }

    return val1 + val2;
}

Good:

public int Combine(int val1, int val2)
{
    return val1 + val2;
}

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Avoid flags in method parameters

A flag indicates that the method has more than one responsibility. It is best if the method only has a single responsibility. Split the method into two if a boolean parameter adds multiple responsibilities to the method.

Bad:

public void CreateFile(string name, bool temp = false)
{
    if (temp)
    {
        Touch("./temp/" + name);
    }
    else
    {
        Touch(name);
    }
}

Good:

public void CreateFile(string name)
{
    Touch(name);
}

public void CreateTempFile(string name)
{
    Touch("./temp/"  + name);
}

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Don't write to global functions

Polluting globals is a bad practice in many languages because you could clash with another library and the user of your API would be none-the-wiser until they get an exception in production. Let's think about an example: what if you wanted to have configuration array. You could write global function like Config(), but it could clash with another library that tried to do the same thing.

Bad:

public Dictionary<string, string> Config()
{
    return new Dictionary<string,string>(){
        ["foo"] = "bar"
    };
}

Good:

class Configuration
{
    private Dictionary<string, string> _configuration;

    public Configuration(Dictionary<string, string> configuration)
    {
        _configuration = configuration;
    }

    public string[] Get(string key)
    {
        return _configuration.ContainsKey(key) ? _configuration[key] : null;
    }
}

Load configuration and create instance of Configuration class

var configuration = new Configuration(new Dictionary<string, string>() {
    ["foo"] = "bar"
});

And now you must use instance of Configuration in your application.

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Don't use a Singleton pattern

Singleton is an anti-pattern. Paraphrased from Brian Button:

1. They are generally used as a global instance, why is that so bad? Because you hide the dependencies of your application in your code, instead of exposing them through the interfaces. Making something global to avoid passing it around is a code smell.
2. They violate the single responsibility principle: by virtue of the fact that they control their own creation and lifecycle.
3. They inherently cause code to be tightly coupled. This makes faking them out under test rather difficult in many cases.
4. They carry state around for the lifetime of the application. Another hit to testing since you can end up with a situation where tests need to be ordered which is a big no for unit tests. Why? Because each unit test should be independent from the other.

There is also very good thoughts by Misko Hevery about the root of problem.

Bad:

class DBConnection
{
    private static DBConnection _instance;

    private DBConnection()
    {
        // ...
    }

    public static GetInstance()
    {
        if (_instance == null)
        {
            _instance = new DBConnection();
        }

        return _instance;
    }

    // ...
}

var singleton = DBConnection.GetInstance();

Good:

class DBConnection
{
    public DBConnection(IOptions<DbConnectionOption> options)
    {
        // ...
    }

    // ...
}

Create instance of DBConnection class and configure it with Option pattern.

var options = <resolve from IOC>;
var connection = new DBConnection(options);

And now you must use instance of DBConnection in your application.

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Function arguments (2 or fewer ideally)

Limiting the amount of function parameters is incredibly important because it makes testing your function easier. Having more than three leads to a combinatorial explosion where you have to test tons of different cases with each separate argument.

Zero arguments is the ideal case. One or two arguments is ok, and three should be avoided. Anything more than that should be consolidated. Usually, if you have more than two arguments then your function is trying to do too much. In cases where it's not, most of the time a higher-level object will suffice as an argument.

Bad:

public void CreateMenu(string title, string body, string buttonText, bool cancellable)
{
    // ...
}

Good:

public class MenuConfig
{
    public string Title { get; set; }
    public string Body { get; set; }
    public string ButtonText { get; set; }
    public bool Cancellable { get; set; }
}

var config = new MenuConfig
{
    Title = "Foo",
    Body = "Bar",
    ButtonText = "Baz",
    Cancellable = true
};

public void CreateMenu(MenuConfig config)
{
    // ...
}

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Functions should do one thing

This is by far the most important rule in software engineering. When functions do more than one thing, they are harder to compose, test, and reason about. When you can isolate a function to just one action, they can be refactored easily and your code will read much cleaner. If you take nothing else away from this guide other than this, you'll be ahead of many developers.

Bad:

public void SendEmailToListOfClients(string[] clients)
{
    foreach (var client in clients)
    {
        var clientRecord = db.Find(client);
        if (clientRecord.IsActive())
        {
            Email(client);
        }
    }
}

Good:

public void SendEmailToListOfClients(string[] clients)
{
    var activeClients = GetActiveClients(clients);
    // Do some logic
}

public List<Client> GetActiveClients(string[] clients)
{
    return db.Find(clients).Where(s => s.Status == "Active");
}

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Function names should say what they do

Bad:

public class Email
{
    //...

    public void Handle()
    {
        SendMail(this._to, this._subject, this._body);
    }
}

var message = new Email(...);
// What is this? A handle for the message? Are we writing to a file now?
message.Handle();

Good:

public class Email
{
    //...

    public void Send()
    {
        SendMail(this._to, this._subject, this._body);
    }
}

var message = new Email(...);
// Clear and obvious
message.Send();

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Functions should only be one level of abstraction

Not finished yet

When you have more than one level of abstraction your function is usually doing too much. Splitting up functions leads to reusability and easier testing.

Bad:

public string ParseBetterJSAlternative(string code)
{
    var regexes = [
        // ...
    ];

    var statements = explode(" ", code);
    var tokens = new string[] {};
    foreach (var regex in regexes)
    {
        foreach (var statement in statements)
        {
            // ...
        }
    }

    var ast = new string[] {};
    foreach (var token in tokens)
    {
        // lex...
    }

    foreach (var node in ast)
    {
        // parse...
    }
}

Bad too:

We have carried out some of the functionality, but the ParseBetterJSAlternative() function is still very complex and not testable.

public string Tokenize(string code)
{
    var regexes = new string[]
    {
        // ...
    };

    var statements = explode(" ", code);
    var tokens = new string[] {};
    foreach (var regex in regexes)
    {
        foreach (var statement in statements)
        {
            tokens[] = /* ... */;
        }
    }

    return tokens;
}

public string Lexer(string[] tokens)
{
    var ast = new string[] {};
    foreach (var token in tokens)
    {
        ast[] = /* ... */;
    }

    return ast;
}

public string ParseBetterJSAlternative(string code)
{
    var tokens = Tokenize(code);
    var ast = Lexer(tokens);
    foreach (var node in ast)
    {
        // parse...
    }
}

Good:

The best solution is move out the dependencies of ParseBetterJSAlternative() function.

class Tokenizer
{
    public string Tokenize(string code)
    {
        var regexes = new string[] {
            // ...
        };

        var statements = explode(" ", code);
        var tokens = new string[] {};
        foreach (var regex in regexes)
        {
            foreach (var statement in statements)
            {
                tokens[] = /* ... */;
            }
        }

        return tokens;
    }
}

class Lexer
{
    public string Lexify(string[] tokens)
    {
        var ast = new[] {};
        foreach (var token in tokens)
        {
            ast[] = /* ... */;
        }

        return ast;
    }
}

class BetterJSAlternative
{
    private string _tokenizer;
    private string _lexer;

    public BetterJSAlternative(Tokenizer tokenizer, Lexer lexer)
    {
        _tokenizer = tokenizer;
        _lexer = lexer;
    }

    public string Parse(string code)
    {
        var tokens = _tokenizer.Tokenize(code);
        var ast = _lexer.Lexify(tokens);
        foreach (var node in ast)
        {
            // parse...
        }
    }
}

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Function callers and callees should be close

If a function calls another, keep those functions vertically close in the source file. Ideally, keep the caller right above the callee. We tend to read code from top-to-bottom, like a newspaper. Because of this, make your code read that way.

Bad:

class PerformanceReview
{
    private readonly Employee _employee;

    public PerformanceReview(Employee employee)
    {
        _employee = employee;
    }

    private IEnumerable<PeersData> LookupPeers()
    {
        return db.lookup(_employee, 'peers');
    }

    private ManagerData LookupManager()
    {
        return db.lookup(_employee, 'manager');
    }

    private IEnumerable<PeerReviews> GetPeerReviews()
    {
        var peers = LookupPeers();
        // ...
    }

    public PerfReviewData PerfReview()
    {
        GetPeerReviews();
        GetManagerReview();
        GetSelfReview();
    }

    public ManagerData GetManagerReview()
    {
        var manager = LookupManager();
    }

    public EmployeeData GetSelfReview()
    {
        // ...
    }
}

var  review = new PerformanceReview(employee);
review.PerfReview();

Good:

class PerformanceReview
{
    private readonly Employee _employee;

    public PerformanceReview(Employee employee)
    {
        _employee = employee;
    }

    public PerfReviewData PerfReview()
    {
        GetPeerReviews();
        GetManagerReview();
        GetSelfReview();
    }

    private IEnumerable<PeerReviews> GetPeerReviews()
    {
        var peers = LookupPeers();
        // ...
    }

    private IEnumerable<PeersData> LookupPeers()
    {
        return db.lookup(_employee, 'peers');
    }

    private ManagerData GetManagerReview()
    {
        var manager = LookupManager();
        return manager;
    }

    private ManagerData LookupManager()
    {
        return db.lookup(_employee, 'manager');
    }

    private EmployeeData GetSelfReview()
    {
        // ...
    }
}

var review = new PerformanceReview(employee);
review.PerfReview();

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Encapsulate conditionals

Bad:

if (article.state == "published")
{
    // ...
}

Good:

if (article.IsPublished())
{
    // ...
}

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Remove dead code

Dead code is just as bad as duplicate code. There's no reason to keep it in your codebase. If it's not being called, get rid of it! It will still be safe in your version history if you still need it.

Bad:

public void OldRequestModule(string url)
{
    // ...
}

public void NewRequestModule(string url)
{
    // ...
}

var request = NewRequestModule(requestUrl);
InventoryTracker("apples", request, "www.inventory-awesome.io");

Good:

public void RequestModule(string url)
{
    // ...
}

var request = RequestModule(requestUrl);
InventoryTracker("apples", request, "www.inventory-awesome.io");

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Objects and Data Structures

Use getters and setters

In C# / VB.NET you can set public, protected and private keywords for methods. Using it, you can control properties modification on an object.

• When you want to do more beyond getting an object property, you don't have to look up and change every accessor in your codebase.
• Makes adding validation simple when doing a set.
• Encapsulates the internal representation.
• Easy to add logging and error handling when getting and setting.
• Inheriting this class, you can override default functionality.
• You can lazy load your object's properties, let's say getting it from a server.

Additionally, this is part of Open/Closed principle, from object-oriented design principles.

Bad:

class BankAccount
{
    public double Balance = 1000;
}

var bankAccount = new BankAccount();

// Fake buy shoes...
bankAccount.Balance -= 100;

Good:

class BankAccount
{
    private double _balance = 0.0D;

    pubic double Balance {
        get {
            return _balance;
        }
    }

    public BankAccount(balance = 1000)
    {
       _balance = balance;
    }

    public void WithdrawBalance(int amount)
    {
        if (amount > _balance)
        {
            throw new Exception('Amount greater than available balance.');
        }

        _balance -= amount;
    }

    public void DepositBalance(int amount)
    {
        _balance += amount;
    }
}

var bankAccount = new BankAccount();

// Buy shoes...
bankAccount.WithdrawBalance(price);

// Get balance
balance = bankAccount.Balance;

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Make objects have private/protected members

Bad:

class Employee
{
    public string Name { get; set; }

    public Employee(string name)
    {
        Name = name;
    }
}

var employee = new Employee("John Doe");
Console.WriteLine(employee.Name); // Employee name: John Doe

Good:

class Employee
{
    public string Name { get; }

    public Employee(string name)
    {
        Name = name;
    }
}

var employee = new Employee("John Doe");
Console.WriteLine(employee.Name); // Employee name: John Doe

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Classes

Use method chaining

This pattern is very useful and commonly used in many libraries. It allows your code to be expressive, and less verbose. For that reason, use method chaining and take a look at how clean your code will be.

Good:

public static class ListExtensions
{
    public static List<T> FluentAdd<T>(this List<T> list, T item)
    {
        list.Add(item);
        return list;
    }

    public static List<T> FluentClear<T>(this List<T> list)
    {
        list.Clear();
        return list;
    }

    public static List<T> FluentForEach<T>(this List<T> list, Action<T> action)
    {
        list.ForEach(action);
        return list;
    }

    public static List<T> FluentInsert<T>(this List<T> list, int index, T item)
    {
        list.Insert(index, item);
        return list;
    }

    public static List<T> FluentRemoveAt<T>(this List<T> list, int index)
    {
        list.RemoveAt(index);
        return list;
    }

    public static List<T> FluentReverse<T>(this List<T> list)
    {
        list.Reverse();
        return list;
    }
}

internal static void ListFluentExtensions()
{
    var list = new List<int>() { 1, 2, 3, 4, 5 }
        .FluentAdd(1)
        .FluentInsert(0, 0)
        .FluentRemoveAt(1)
        .FluentReverse()
        .FluentForEach(value => value.WriteLine())
        .FluentClear();
}

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Prefer composition over inheritance

As stated famously in Design Patterns by the Gang of Four, you should prefer composition over inheritance where you can. There are lots of good reasons to use inheritance and lots of good reasons to use composition.

The main point for this maxim is that if your mind instinctively goes for inheritance, try to think if composition could model your problem better. In some cases it can.

You might be wondering then, "when should I use inheritance?" It depends on your problem at hand, but this is a decent list of when inheritance makes more sense than composition:

1. Your inheritance represents an "is-a" relationship and not a "has-a" relationship (Human->Animal vs. User->UserDetails).
2. You can reuse code from the base classes (Humans can move like all animals).
3. You want to make global changes to derived classes by changing a base class (Change the caloric expenditure of all animals when they move).

Bad:

class Employee
{
    private string Name { get; set; }
    private string Email { get; set; }

    public Employee(string name, string email)
    {
        Name = name;
        Email = email;
    }

    // ...
}

// Bad because Employees "have" tax data.
// EmployeeTaxData is not a type of Employee

class EmployeeTaxData : Employee
{
    private string Name { get; }
    private string Email { get; }

    public EmployeeTaxData(string name, string email, string ssn, string salary)
    {
         // ...
    }

    // ...
}

Good:

class EmployeeTaxData
{
    public string Ssn { get; }
    public string Salary { get; }

    public EmployeeTaxData(string ssn, string salary)
    {
        Ssn = ssn;
        Salary = salary;
    }

    // ...
}

class Employee
{
    public string Name { get; }
    public string Email { get; }
    public EmployeeTaxData TaxData { get; }

    public Employee(string name, string email)
    {
        Name = name;
        Email = email;
    }

    public void SetTax(string ssn, double salary)
    {
        TaxData = new EmployeeTaxData(ssn, salary);
    }

    // ...
}

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SOLID

What is SOLID?

SOLID is the mnemonic acronym introduced by Michael Feathers for the first five principles named by Robert Martin, which meant five basic principles of object-oriented programming and design.

• S: Single Responsibility Principle (SRP)
• O: Open/Closed Principle (OCP)
• L: Liskov Substitution Principle (LSP)
• I: Interface Segregation Principle (ISP)
• D: Dependency Inversion Principle (DIP)

Single Responsibility Principle (SRP)

As stated in Clean Code, "There should never be more than one reason for a class to change". It's tempting to jam-pack a class with a lot of functionality, like when you can only take one suitcase on your flight. The issue with this is that your class won't be conceptually cohesive and it will give it many reasons to change. Minimizing the amount of times you need to change a class is important.

It's important because if too much functionality is in one class and you modify a piece of it, it can be difficult to understand how that will affect other dependent modules in your codebase.

Bad:

class UserSettings
{
    private User User;

    public UserSettings(User user)
    {
        User = user;
    }

    public void ChangeSettings(Settings settings)
    {
        if (verifyCredentials())
        {
            // ...
        }
    }

    private bool VerifyCredentials()
    {
        // ...
    }
}

Good:

class UserAuth
{
    private User User;

    public UserAuth(User user)
    {
        User = user;
    }

    public bool VerifyCredentials()
    {
        // ...
    }
}

class UserSettings
{
    private User User;
    private UserAuth Auth;

    public UserSettings(User user)
    {
        User = user;
        Auth = new UserAuth(user);
    }

    public void ChangeSettings(Settings settings)
    {
        if (Auth.VerifyCredentials())
        {
            // ...
        }
    }
}

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Open/Closed Principle (OCP)

As stated by Bertrand Meyer, "software entities (classes, modules, functions, etc.) should be open for extension, but closed for modification." What does that mean though? This principle basically states that you should allow users to add new functionalities without changing existing code.

Bad:

abstract class AdapterBase
{
    protected string Name;

    public string GetName()
    {
        return Name;
    }
}

class AjaxAdapter : AdapterBase
{
    public AjaxAdapter()
    {
        Name = "ajaxAdapter";
    }
}

class NodeAdapter : AdapterBase
{
    public NodeAdapter()
    {
        Name = "nodeAdapter";
    }
}

class HttpRequester : AdapterBase
{
    private readonly AdapterBase Adapter;

    public HttpRequester(AdapterBase adapter)
    {
        Adapter = adapter;
    }

    public bool Fetch(string url)
    {
        var adapterName = Adapter.GetName();

        if (adapterName == "ajaxAdapter")
        {
            return MakeAjaxCall(url);
        }
        else if (adapterName == "httpNodeAdapter")
        {
            return MakeHttpCall(url);
        }
    }

    private bool MakeAjaxCall(string url)
    {
        // request and return promise
    }

    private bool MakeHttpCall(string url)
    {
        // request and return promise
    }
}

Good:

interface IAdapter
{
    bool Request(string url);
}

class AjaxAdapter : IAdapter
{
    public bool Request(string url)
    {
        // request and return promise
    }
}

class NodeAdapter : IAdapter
{
    public bool Request(string url)
    {
        // request and return promise
    }
}

class HttpRequester
{
    private readonly IAdapter Adapter;

    public HttpRequester(IAdapter adapter)
    {
        Adapter = adapter;
    }

    public bool Fetch(string url)
    {
        return Adapter.Request(url);
    }
}

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Liskov Substitution Principle (LSP)

This is a scary term for a very simple concept. It's formally defined as "If S is a subtype of T, then objects of type T may be replaced with objects of type S (i.e., objects of type S may substitute objects of type T) without altering any of the desirable properties of that program (correctness, task performed, etc.)." That's an even scarier definition.

The best explanation for this is if you have a parent class and a child class, then the base class and child class can be used interchangeably without getting incorrect results. This might still be confusing, so let's take a look at the classic Square-Rectangle example. Mathematically, a square is a rectangle, but if you model it using the "is-a" relationship via inheritance, you quickly get into trouble.

Bad:

class Rectangle
{
    protected double Width = 0;
    protected double Height = 0;

    public Drawable Render(double area)
    {
        // ...
    }

    public void SetWidth(double width)
    {
        Width = width;
    }

    public void SetHeight(double height)
    {
        Height = height;
    }

    public double GetArea()
    {
        return Width * Height;
    }
}

class Square : Rectangle
{
    public double SetWidth(double width)
    {
        Width = Height = width;
    }

    public double SetHeight(double height)
    {
        Width = Height = height;
    }
}

Drawable RenderLargeRectangles(Rectangle rectangles)
{
    foreach (rectangle in rectangles)
    {
        rectangle.SetWidth(4);
        rectangle.SetHeight(5);
        var area = rectangle.GetArea(); // BAD: Will return 25 for Square. Should be 20.
        rectangle.Render(area);
    }
}

var rectangles = new[] { new Rectangle(), new Rectangle(), new Square() };
RenderLargeRectangles(rectangles);

Good:

abstract class ShapeBase
{
    protected double Width = 0;
    protected double Height = 0;

    abstract public double GetArea();

    public Drawable Render(double area)
    {
        // ...
    }
}

class Rectangle : ShapeBase
{
    public void SetWidth(double width)
    {
        Width = width;
    }

    public void SetHeight(double height)
    {
        Height = height;
    }

    public double GetArea()
    {
        return Width * Height;
    }
}

class Square : ShapeBase
{
    private double Length = 0;

    public double SetLength(double length)
    {
        Length = length;
    }

    public double GetArea()
    {
        return Math.Pow(Length, 2);
    }
}

Drawable RenderLargeRectangles(Rectangle rectangles)
{
    foreach (rectangle in rectangles)
    {
        if (rectangle is Square)
        {
            rectangle.SetLength(5);
        }
        else if (rectangle is Rectangle)
        {
            rectangle.SetWidth(4);
            rectangle.SetHeight(5);
        }

        var area = rectangle.GetArea();
        rectangle.Render(area);
    }
}

var shapes = new[] { new Rectangle(), new Rectangle(), new Square() };
RenderLargeRectangles(shapes);

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Interface Segregation Principle (ISP)

ISP states that "Clients should not be forced to depend upon interfaces that they do not use."

A good example to look at that demonstrates this principle is for classes that require large settings objects. Not requiring clients to setup huge amounts of options is beneficial, because most of the time they won't need all of the settings. Making them optional helps prevent having a "fat interface".

Bad:

public interface IEmployee
{
    void Work();
    void Eat();
}

public class Human : IEmployee
{
    public void Work()
    {
        // ....working
    }

    public void Eat()
    {
        // ...... eating in lunch break
    }
}

public class Robot : IEmployee
{
    public void Work()
    {
        //.... working much more
    }

    public void Eat()
    {
        //.... robot can't eat, but it must implement this method
    }
}

Good:

Not every worker is an employee, but every employee is an worker.

public interface IWorkable
{
    void Work();
}

public interface IFeedable
{
    void Eat();
}

public interface IEmployee : IFeedable, IWorkable
{
}

public class Human : IEmployee
{
    public void Work()
    {
        // ....working
    }

    public void Eat()
    {
        //.... eating in lunch break
    }
}

// robot can only work
public class Robot : IWorkable
{
    public void Work()
    {
        // ....working
    }
}

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Dependency Inversion Principle (DIP)

This principle states two essential things:

1. High-level modules should not depend on low-level modules. Both should depend on abstractions.
2. Abstractions should not depend upon details. Details should depend on abstractions.

This can be hard to understand at first, but if you've worked with .NET/.NET Core framework, you've seen an implementation of this principle in the form of Dependency Injection (DI). While they are not identical concepts, DIP keeps high-level modules from knowing the details of its low-level modules and setting them up. It can accomplish this through DI. A huge benefit of this is that it reduces the coupling between modules. Coupling is a very bad development pattern because it makes your code hard to refactor.

Bad:

public abstract class EmployeeBase
{
    protected virtual void Work()
    {
        // ....working
    }
}

public class Human : EmployeeBase
{
    public override void Work()
    {
        //.... working much more
    }
}

public class Robot : EmployeeBase
{
    public override void Work()
    {
        //.... working much, much more
    }
}

public class Manager
{
    private readonly Robot _robot;
    private readonly Human _human;

    public Manager(Robot robot, Human human)
    {
        _robot = robot;
        _human = human;
    }

    public void Manage()
    {
        _robot.Work();
        _human.Work();
    }
}

Good:

public interface IEmployee
{
    void Work();
}

public class Human : IEmployee
{
    public void Work()
    {
        // ....working
    }
}

public class Robot : IEmployee
{
    public void Work()
    {
        //.... working much more
    }
}

public class Manager
{
    private readonly IEnumerable<IEmployee> _employees;

    public Manager(IEnumerable<IEmployee> employees)
    {
        _employees = employees;
    }

    public void Manage()
    {
        foreach (var employee in _employees)
        {
            _employee.Work();
        }
    }
}

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Don’t repeat yourself (DRY)

Try to observe the DRY principle.

Do your absolute best to avoid duplicate code. Duplicate code is bad because it means that there's more than one place to alter something if you need to change some logic.

Imagine if you run a restaurant and you keep track of your inventory: all your tomatoes, onions, garlic, spices, etc. If you have multiple lists that you keep this on, then all have to be updated when you serve a dish with tomatoes in them. If you only have one list, there's only one place to update!

Oftentimes you have duplicate code because you have two or more slightly different things, that share a lot in common, but their differences force you to have two or more separate functions that do much of the same things. Removing duplicate code means creating an abstraction that can handle this set of different things with just one function/module/class.

Getting the abstraction right is critical, that's why you should follow the SOLID principles laid out in the Classes section. Bad abstractions can be worse than duplicate code, so be careful! Having said this, if you can make a good abstraction, do it! Don't repeat yourself, otherwise you'll find yourself updating multiple places anytime you want to change one thing.

Bad:

public List<EmployeeData> ShowDeveloperList(Developers developers)
{
    foreach (var developers in developer)
    {
        var expectedSalary = developer.CalculateExpectedSalary();
        var experience = developer.GetExperience();
        var githubLink = developer.GetGithubLink();
        var data = new[] {
            expectedSalary,
            experience,
            githubLink
        };

        Render(data);
    }
}

public List<ManagerData> ShowManagerList(Manager managers)
{
    foreach (var manager in managers)
    {
        var expectedSalary = manager.CalculateExpectedSalary();
        var experience = manager.GetExperience();
        var githubLink = manager.GetGithubLink();
        var data =
        new[] {
            expectedSalary,
            experience,
            githubLink
        };

        render(data);
    }
}

Good:

public List<EmployeeData> ShowList(Employee employees)
{
    foreach (var employee in employees)
    {
        var expectedSalary = employees.CalculateExpectedSalary();
        var experience = employees.GetExperience();
        var githubLink = employees.GetGithubLink();
        var data =
        new[] {
            expectedSalary,
            experience,
            githubLink
        };

        render(data);
    }
}

Very good:

It is better to use a compact version of the code.

public List<EmployeeData> ShowList(Employee employees)
{
    foreach (var employee in employees)
    {
        render(new[] {
            employee.CalculateExpectedSalary(),
            employee.GetExperience(),
            employee.GetGithubLink()
        });
    }
}

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Testing

Basic concept of testing

Testing is more important than shipping. If you have no tests or an inadequate amount, then every time you ship code you won't be sure that you didn't break anything. Deciding on what constitutes an adequate amount is up to your team, but having 100% coverage (all statements and branches) is how you achieve very high confidence and developer peace of mind. This means that in addition to having a great testing framework, you also need to use a good coverage tool.

There's no excuse to not write tests. There's plenty of good .NET test frameworks, so find one that your team prefers. When you find one that works for your team, then aim to always write tests for every new feature/module you introduce. If your preferred method is Test Driven Development (TDD), that is great, but the main point is to just make sure you are reaching your coverage goals before launching any feature, or refactoring an existing one.

Single concept per test

Ensures that your tests are laser focused and not testing miscellaenous (non-related) things, forces AAA patern used to make your codes more clean and readable.

Bad:

public class MakeDotNetGreatAgainTests
{
    [Fact]
    public void HandleDateBoundaries()
    {
        var date = new MyDateTime("1/1/2015");
        date.AddDays(30);
        Assert.Equal("1/31/2015", date);

        date = new MyDateTime("2/1/2016");
        date.AddDays(28);
        Assert.Equal("02/29/2016", date);

        date = new MyDateTime("2/1/2015");
        date.AddDays(28);
        Assert.Equal("03/01/2015", date);
    }
}

Good:

public class MakeDotNetGreatAgainTests
{
    [Fact]
    public void Handle30DayMonths()
    {
        // Arrange
        var date = new MyDateTime("1/1/2015");

        // Act
        date.AddDays(30);

        // Assert
        Assert.Equal("1/31/2015", date);
    }

    [Fact]
    public void HandleLeapYear()
    {
        // Arrange
        var date = new MyDateTime("2/1/2016");

        // Act
        date.AddDays(28);

        // Assert
        Assert.Equal("02/29/2016", date);
    }

    [Fact]
    public void HandleNonLeapYear()
    {
        // Arrange
        var date = new MyDateTime("2/1/2015");

        // Act
        date.AddDays(28);

        // Assert
        Assert.Equal("03/01/2015", date);
    }
}

Soure https://www.codingblocks.net/podcast/how-to-write-amazing-unit-tests

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Concurrency

Use Async/Await

Summary of Asynchronous Programming Guidelines

Name	Description	Exceptions
Avoid async void	Prefer async Task methods over async void methods	Event handlers
Async all the way	Don't mix blocking and async code	Console main method (C# <= 7.0)
Configure context	Use ConfigureAwait(false) when you can	Methods that require con­text

The Async Way of Doing Things

To Do This ...	Instead of This ...	Use This
Retrieve the result of a background task	Task.Wait or Task.Result	await
Wait for any task to complete	Task.WaitAny	await Task.WhenAny
Retrieve the results of multiple tasks	Task.WaitAll	await Task.WhenAll
Wait a period of time	Thread.Sleep	await Task.Delay

Best practice

The async/await is the best for IO bound tasks (networking communication, database communication, http request, etc.) but it is not good to apply on computational bound tasks (traverse on the huge list, render a hugge image, etc.). Because it will release the holding thread to the thread pool and CPU/cores available will not involve to process those tasks. Therefore, we should avoid using Async/Await for computional bound tasks.

For dealing with computational bound tasks, prefer to use Task.Factory.CreateNew with TaskCreationOptions is LongRunning. It will start a new background thread to process a heavy computational bound task without release it back to the thread pool until the task being completed.

Know Your Tools

There's a lot to learn about async and await, and it's natural to get a little disoriented. Here's a quick reference of solutions to common problems.

Solutions to Common Async Problems

Problem	Solution
Create a task to execute code	Task.Run or TaskFactory.StartNew (not the Task constructor or Task.Start)
Create a task wrapper for an operation or event	TaskFactory.FromAsync or TaskCompletionSource<T>
Support cancellation	CancellationTokenSource and CancellationToken
Report progress	IProgress<T> and Progress<T>
Handle streams of data	TPL Dataflow or Reactive Extensions
Synchronize access to a shared resource	SemaphoreSlim
Asynchronously initialize a resource	AsyncLazy<T>
Async-ready producer/consumer structures	TPL Dataflow or AsyncCollection<T>

Read the Task-based Asynchronous Pattern (TAP) document. It is extremely well-written, and includes guidance on API design and the proper use of async/await (including cancellation and progress reporting).

There are many new await-friendly techniques that should be used instead of the old blocking techniques. If you have any of these Old examples in your new async code, you're Doing It Wrong(TM):

Old	New	Description
task.Wait	await task	Wait/await for a task to complete
task.Result	await task	Get the result of a completed task
Task.WaitAny	await Task.WhenAny	Wait/await for one of a collection of tasks to complete
Task.WaitAll	await Task.WhenAll	Wait/await for every one of a collection of tasks to complete
Thread.Sleep	await Task.Delay	Wait/await for a period of time
Task constructor	Task.Run or TaskFactory.StartNew	Create a code-based task

Source https://gist.github.com/jonlabelle/841146854b23b305b50fa5542f84b20c

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Error Handling

Basic concept of error handling

Thrown errors are a good thing! They mean the runtime has successfully identified when something in your program has gone wrong and it's letting you know by stopping function execution on the current stack, killing the process (in .NET/.NET Core), and notifying you in the console with a stack trace.

Don't use 'throw ex' in catch block

If you need to re-throw an exception after catching it, use just 'throw' By using this, you will save the stack trace. But in the bad option below, you will lost the stack trace.

Bad:

try
{
    // Do something..
}
catch (Exception ex)
{
    // Any action something like roll-back or logging etc.
    throw ex;
}

Good:

try
{
    // Do something..
}
catch (Exception ex)
{
    // Any action something like roll-back or logging etc.
    throw;
}

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Don't ignore caught errors

Doing nothing with a caught error doesn't give you the ability to ever fix or react to said error. Throwing the error isn't much better as often times it can get lost in a sea of things printed to the console. If you wrap any bit of code in a try/catch it means you think an error may occur there and therefore you should have a plan, or create a code path, for when it occurs.

Bad:

try
{
    FunctionThatMightThrow();
}
catch (Exception ex)
{
    // silent exception
}

Good:

try
{
    FunctionThatMightThrow();
}
catch (Exception error)
{
    NotifyUserOfError(error);

    // Another option
    ReportErrorToService(error);
}

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Use multiple catch block instead of if conditions.

If you need to take action according to type of the exception, you better use multiple catch block for exception handling.

Bad:

try
{
    // Do something..
}
catch (Exception ex)
{

    if (ex is TaskCanceledException)
    {
        // Take action for TaskCanceledException
    }
    else if (ex is TaskSchedulerException)
    {
        // Take action for TaskSchedulerException
    }
}

Good:

try
{
    // Do something..
}
catch (TaskCanceledException ex)
{
    // Take action for TaskCanceledException
}
catch (TaskSchedulerException ex)
{
    // Take action for TaskSchedulerException
}

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Keep exception stack trace when rethrowing exceptions

C# allows the exception to be rethrown in a catch block using the throw keyword. It is a bad practice to throw a caught exception using throw e;. This statement resets the stack trace. Instead use throw;. This will keep the stack trace and provide a deeper insight about the exception. Another option is to use a custom exception. Simply instantiate a new exception and set its inner exception property to the caught exception with throw new CustomException("some info", e);. Adding information to an exception is a good practice as it will help with debugging. However, if the objective is to log an exception then use throw; to pass the buck to the caller.

Bad:

try
{
    FunctionThatMightThrow();
}
catch (Exception ex)
{
    logger.LogInfo(ex);
    throw ex;
}

Good:

try
{
    FunctionThatMightThrow();
}
catch (Exception error)
{
    logger.LogInfo(error);
    throw;
}

Good:

try
{
    FunctionThatMightThrow();
}
catch (Exception error)
{
    logger.LogInfo(error);
    throw new CustomException(error);
}

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Formatting

Uses .editorconfig file

Bad:

Has many code formatting styles in the project. For example, indent style is space and tab mixed in the project.

Good:

Define and maintain consistent code style in your codebase with the use of an .editorconfig file

root = true

[*]
indent_style = space
indent_size = 2
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true

# C# files
[*.cs]
indent_size = 4
# New line preferences
csharp_new_line_before_open_brace = all
csharp_new_line_before_else = true
csharp_new_line_before_catch = true
csharp_new_line_before_finally = true
csharp_new_line_before_members_in_object_initializers = true
csharp_new_line_before_members_in_anonymous_types = true
csharp_new_line_within_query_expression_clauses = true

# Code files
[*.{cs,csx,vb,vbx}]
indent_size = 4

# Indentation preferences
csharp_indent_block_contents = true
csharp_indent_braces = false
csharp_indent_case_contents = true
csharp_indent_switch_labels = true
csharp_indent_labels = one_less_than_current

# avoid this. unless absolutely necessary
dotnet_style_qualification_for_field = false:suggestion
dotnet_style_qualification_for_property = false:suggestion
dotnet_style_qualification_for_method = false:suggestion
dotnet_style_qualification_for_event = false:suggestion

# only use var when it's obvious what the variable type is
# csharp_style_var_for_built_in_types = false:none
# csharp_style_var_when_type_is_apparent = false:none
# csharp_style_var_elsewhere = false:suggestion

# use language keywords instead of BCL types
dotnet_style_predefined_type_for_locals_parameters_members = true:suggestion
dotnet_style_predefined_type_for_member_access = true:suggestion

# name all constant fields using PascalCase
dotnet_naming_rule.constant_fields_should_be_pascal_case.severity = suggestion
dotnet_naming_rule.constant_fields_should_be_pascal_case.symbols  = constant_fields
dotnet_naming_rule.constant_fields_should_be_pascal_case.style    = pascal_case_style

dotnet_naming_symbols.constant_fields.applicable_kinds   = field
dotnet_naming_symbols.constant_fields.required_modifiers = const

dotnet_naming_style.pascal_case_style.capitalization = pascal_case

# static fields should have s_ prefix
dotnet_naming_rule.static_fields_should_have_prefix.severity = suggestion
dotnet_naming_rule.static_fields_should_have_prefix.symbols  = static_fields
dotnet_naming_rule.static_fields_should_have_prefix.style    = static_prefix_style

dotnet_naming_symbols.static_fields.applicable_kinds   = field
dotnet_naming_symbols.static_fields.required_modifiers = static

dotnet_naming_style.static_prefix_style.required_prefix = s_
dotnet_naming_style.static_prefix_style.capitalization = camel_case

# internal and private fields should be _camelCase
dotnet_naming_rule.camel_case_for_private_internal_fields.severity = suggestion
dotnet_naming_rule.camel_case_for_private_internal_fields.symbols  = private_internal_fields
dotnet_naming_rule.camel_case_for_private_internal_fields.style    = camel_case_underscore_style

dotnet_naming_symbols.private_internal_fields.applicable_kinds = field
dotnet_naming_symbols.private_internal_fields.applicable_accessibilities = private, internal

dotnet_naming_style.camel_case_underscore_style.required_prefix = _
dotnet_naming_style.camel_case_underscore_style.capitalization = camel_case

# Code style defaults
dotnet_sort_system_directives_first = true
csharp_preserve_single_line_blocks = true
csharp_preserve_single_line_statements = false

# Expression-level preferences
dotnet_style_object_initializer = true:suggestion
dotnet_style_collection_initializer = true:suggestion
dotnet_style_explicit_tuple_names = true:suggestion
dotnet_style_coalesce_expression = true:suggestion
dotnet_style_null_propagation = true:suggestion

# Expression-bodied members
csharp_style_expression_bodied_methods = false:none
csharp_style_expression_bodied_constructors = false:none
csharp_style_expression_bodied_operators = false:none
csharp_style_expression_bodied_properties = true:none
csharp_style_expression_bodied_indexers = true:none
csharp_style_expression_bodied_accessors = true:none

# Pattern matching
csharp_style_pattern_matching_over_is_with_cast_check = true:suggestion
csharp_style_pattern_matching_over_as_with_null_check = true:suggestion
csharp_style_inlined_variable_declaration = true:suggestion

# Null checking preferences
csharp_style_throw_expression = true:suggestion
csharp_style_conditional_delegate_call = true:suggestion

# Space preferences
csharp_space_after_cast = false
csharp_space_after_colon_in_inheritance_clause = true
csharp_space_after_comma = true
csharp_space_after_dot = false
csharp_space_after_keywords_in_control_flow_statements = true
csharp_space_after_semicolon_in_for_statement = true
csharp_space_around_binary_operators = before_and_after
csharp_space_around_declaration_statements = do_not_ignore
csharp_space_before_colon_in_inheritance_clause = true
csharp_space_before_comma = false
csharp_space_before_dot = false
csharp_space_before_open_square_brackets = false
csharp_space_before_semicolon_in_for_statement = false
csharp_space_between_empty_square_brackets = false
csharp_space_between_method_call_empty_parameter_list_parentheses = false
csharp_space_between_method_call_name_and_opening_parenthesis = false
csharp_space_between_method_call_parameter_list_parentheses = false
csharp_space_between_method_declaration_empty_parameter_list_parentheses = false
csharp_space_between_method_declaration_name_and_open_parenthesis = false
csharp_space_between_method_declaration_parameter_list_parentheses = false
csharp_space_between_parentheses = false
csharp_space_between_square_brackets = false

[*.{asm,inc}]
indent_size = 8

# Xml project files
[*.{csproj,vcxproj,vcxproj.filters,proj,nativeproj,locproj}]
indent_size = 2

# Xml config files
[*.{props,targets,config,nuspec}]
indent_size = 2

[CMakeLists.txt]
indent_size = 2

[*.cmd]
indent_size = 2

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Comments

Avoid positional markers

They usually just add noise. Let the functions and variable names along with the proper indentation and formatting give the visual structure to your code.

Bad:

////////////////////////////////////////////////////////////////////////////////
// Scope Model Instantiation
////////////////////////////////////////////////////////////////////////////////
var model = new[]
{
    menu: 'foo',
    nav: 'bar'
};

////////////////////////////////////////////////////////////////////////////////
// Action setup
////////////////////////////////////////////////////////////////////////////////
void Actions()
{
    // ...
};

Bad:

#region Scope Model Instantiation

var model = {
    menu: 'foo',
    nav: 'bar'
};

#endregion

#region Action setup

void Actions() {
    // ...
};

#endregion

Good:

var model = new[]
{
    menu: 'foo',
    nav: 'bar'
};

void Actions()
{
    // ...
};

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Don't leave commented out code in your codebase

Version control exists for a reason. Leave old code in your history.

Bad:

doStuff();
// doOtherStuff();
// doSomeMoreStuff();
// doSoMuchStuff();

Good:

doStuff();

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Don't have journal comments

Remember, use version control! There's no need for dead code, commented code, and especially journal comments. Use git log to get history!

Bad:

/**
 * 2018-12-20: Removed monads, didn't understand them (RM)
 * 2017-10-01: Improved using special monads (JP)
 * 2016-02-03: Removed type-checking (LI)
 * 2015-03-14: Added combine with type-checking (JR)
 */
public int Combine(int a,int b)
{
    return a + b;
}

Good:

public int Combine(int a,int b)
{
    return a + b;
}

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Only comment things that have business logic complexity

Comments are an apology, not a requirement. Good code mostly documents itself.

Bad:

public int HashIt(string data)
{
    // The hash
    var hash = 0;

    // Length of string
    var length = data.length;

    // Loop through every character in data
    for (var i = 0; i < length; i++)
    {
        // Get character code.
        const char = data.charCodeAt(i);
        // Make the hash
        hash = ((hash << 5) - hash) + char;
        // Convert to 32-bit integer
        hash &= hash;
    }
}

Better but still Bad:

public int HashIt(string data)
{
    var hash = 0;
    var length = data.length;
    for (var i = 0; i < length; i++)
    {
        const char = data.charCodeAt(i);
        hash = ((hash << 5) - hash) + char;

        // Convert to 32-bit integer
        hash &= hash;
    }
}

If a comment explain WHAT the code is doing, it is probably a useless comment and can be implemented with a well named variable or function. The comment in the previous code could be replaced with a function named ConvertTo32bitInt so this comment is still useless. However it would be hard to express by code WHY the developer choose djb2 hash algorithm instead of sha-1 or another hash function. In that case a comment is acceptable.

Good:

public int Hash(string data)
{
    var hash = 0;
    var length = data.length;

    for (var i = 0; i < length; i++)
    {
        var character = data[i];
        // use of djb2 hash algorithm as it has a good compromise
        // between speed and low collision with a very simple implementation
        hash = ((hash << 5) - hash) + character;

        hash = ConvertTo32BitInt(hash);
    }
    return hash;
}

private int ConvertTo32BitInt(int value)
{
    return value & value;
}

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Other Clean Code Resources

Style Guides

• Google Styleguides - This project holds the C++ Style Guide, Swift Style Guide, Objective-C Style Guide, Java Style Guide, Python Style Guide, R Style Guide, Shell Style Guide, HTML/CSS Style Guide, JavaScript Style Guide, AngularJS Style Guide, Common Lisp Style Guide, and Vimscript Style Guide

Tools

• codemaid - open source Visual Studio extension to cleanup and simplify our C#, C++, F#, VB, PHP, PowerShell, JSON, XAML, XML, ASP, HTML, CSS, LESS, SCSS, JavaScript and TypeScript coding
• Sharpen - Visual Studio extension that intelligently introduces new C# features into your existing code base
• tslint-clean-code - TSLint rules for enforcing Clean Code

Cheatsheets

• Clean Code - The summary of Clean Code: A Handbook of Agile Software Craftsmanship book
• Clean Architecture - The summary of Clean Architecture: A Craftsman's Guide to Software Structure and Design book
• Modern JavaScript Cheatsheet - Cheatsheet for the JavaScript knowledge you will frequently encounter in modern projects
• OWASP Cheat Sheet Series - Cheatsheet was created to provide a concise collection of high value information on specific application security topics

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