YAGNI = You Aint Gonna Need It
Emerged as one of the key principles of Extreme Programming
and says that you should do the simplest thing that could Possibly work!
All 3 Clean Code presentations provide great value by themselves, but taken together are designed to offer a holistic approach to successful software creation. This first session creates the foundation for the 2nd and 3rd Clean Code presentation on Dependency Injection, as it explains expected base knowledge. Why writing Clean Code makes us more efficient Over the lifetime of a product, maintaining the product is actually one - if not the most - expensive area(s) of the overall product costs.
Writing clean code can significantly lower these costs. However, writing clean code also makes you more efficient during the initial development time and results in more stable code. You will be presented design patterns and best practices which will make you write better and more easily maintainable code, seeing code in a holistic way.
You will learn how to apply them by using an existing implementation as the starting point of the presentation. Finally, patterns & practices benefits are explained. This presentation is based on C# and Visual Studio 2012. However, the demonstrated patterns and practice can be applied to every other programming language too.
Note: Moving forwards this presentation will be updated with the latest version of the slides for the last event I did the presentation instead of creating new separate slide decks here on 際際滷Share.
Presentation dates and locations:
2015-10-03 Silicon Valley Code Camp, San Jose, CA
2015-06-27 SoCal Code Camp - San Diego, CA
2014-11-14 SoCal Code Camp - Los Angeles, CA
2014-10-18 Desert Code Camp - Chandler, AZ
2014-10-11 Silicon Valley Code Camp, Los Altos Hills, CA
This document discusses refactoring code to improve its design without changing its external behavior. It defines refactoring as changing code structure without modifying functionality. The author is an experienced PHP developer who gives tips on when and how to refactor code, including drivers like preventing decay, reducing duplication, and improving maintainability. Examples are provided of code smells that indicate refactoring may be helpful, like duplicate code, long methods, and large classes. The document concludes by emphasizing the importance of testing before and after refactoring.
How to improve your code quality? The answer is continuous refactoring. Learn more about refactoring. Know the most frequent code smells (antipatterns), telling when to refactor. Go through the catalog of well-known refactorings, telling how to improve your code.
This document provides an overview and explanation of React Hooks. It introduces common Hooks like useState, useEffect, useReducer, and custom hooks. useState is used to add local state to functional components. useEffect is similar to component lifecycle methods and lets you perform side effects. useReducer is an alternative to useState for managing state in a single object. Custom hooks let you extract reusable logic and share it without changing components. The document also includes a FAQ addressing questions about hooks and class components.
The document discusses refactoring code to improve its internal structure without changing external behavior. It defines refactoring and provides reasons for refactoring like improving design and readability. It also categorizes different types of refactorings like decomposing methods, moving features between objects, and organizing data. Specific refactorings are explained like extract method, inline method, move method, and encapsulate field.
Clean Pragmatic Architecture - Avoiding a MonolithVictor Rentea
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Talk built based on several of my trainings: http://www.victorrentea.ro/#training
Covers: Clean/Onion/Hexagonal Architecture, Domain Entities, Value Objects, Repository, Extract When it Grows Principle, Dependency Inversion Principle, Clean Code and Design Patterns.
These are the backing slides of the talks given at JPoint 2017 and Devoxx PL 2017: https://www.youtube.com/embed/4-4ahz7zDiQ
This document provides an overview of pair programming and discusses its benefits. It defines pair programming as two developers working together at one computer, with one typing code as the "driver" and the other reviewing the work and providing feedback as the "navigator". Research has found that pair programming can result in 15% fewer bugs and slightly better design quality compared to solo work. Benefits include improved learning, quality, focus, motivation and morale. The document also covers challenges, tips, and different pairing patterns like driver-navigator and ping-pong pairing.
Given that the database, as the canonical repository of data, is the most important part of many applications, why is it that we don't write database unit tests? This talk promotes the practice of implementing tests to directly test the schema, storage, and functionality of databases.
The document provides an overview of JavaScript, covering what it is, its basics, functions, objects, prototypes, scope, asynchronous JavaScript, JSON, debugging tools, performance, events, error handling, and the future of JavaScript. It discusses that JavaScript is an object-oriented scripting language used in web pages that is not tied to specific browsers but makes use of the DOM, BOM, and ECMAScript standards. It also summarizes some of JavaScript's core features like functions, objects, prototypes, and more.
The document discusses clean coding practices for Java developers. It covers topics such as choosing meaningful names for variables, methods, and classes; writing code that is easy for others to understand; breaking methods down into single logical steps; and using fluent APIs to make code more readable. The presentation provides examples of clean code and ways to refactor code to follow best practices.
Learning log4j for Java beginners with a sample set of projects using log4j 1.2.
This was done for Level 2 computer engineering students at University of Moratuwa 2015.
I have hosted the samples in github (https://github.com/lkamal/log4j-workshop
), so that you will be able to download and try yourself.
React is a JavaScript library for building user interfaces that aims to solve issues with data changing over time in large web applications. It introduces components, re-rendering on data changes rather than mutating data, and a virtual DOM for efficient re-rendering. React uses a unidirectional data flow and one-way data binding that improves design architecture and code reusability. Related technologies like JSX, Flux, GraphQL, Relay, and React Native further enhance React's capabilities.
Kotlin is a concise, safe, and statically typed programming language that compiles to JVM bytecode and JavaScript. It focuses on interoperability with Java and solves many Java pitfalls. Kotlin removes verbosity like semicolons and replaces "extends" and "implement" with a colon. Functions are defined with the "fun" keyword and return types follow. Properties are treated like fields. Kotlin avoids null references through null safety features like the safe call operator and non-null assertion operator. When expressions replace switch statements. Extension functions can extend existing classes without subclassing.
Presentaci坦n para la charla sobre el libro de Robert C. Martin, Clean Code.
Esta presentaci坦n la impart鱈 en CyLicon Valley, aqu鱈 ten辿is el video con el audio de la charla => https://www.youtube.com/watch?v=1Fss1jBfc3g
The document provides an overview of MongoDB administration including its data model, replication for high availability, sharding for scalability, deployment architectures, operations, security features, and resources for operations teams. The key topics covered are the flexible document data model, replication using replica sets for high availability, scaling out through sharding of data across multiple servers, and different deployment architectures including single/multi data center configurations.
This document provides a summary of a presentation on object-oriented programming (OOP) and clean code given at IPB Computer Science on March 28, 2017. It introduces the speaker, Ifnu Bima, and his background working at Deutsche Bank and blibli.com. The presentation covers topics like code quality metrics, meaningful naming conventions, high-quality functions, comments, and unit testing. It emphasizes writing code that is easy to maintain and modify over time to prevent issues like bugs and technical debt.
This document provides an overview and agenda for a presentation on Amazon DynamoDB. It discusses key concepts like tables, data types, partitioning, indexing and scaling in DynamoDB. It also provides best practices and examples for modeling different data scenarios like event logging, product catalogs, messaging apps and multiplayer games.
This document discusses principles for writing clean code in functions. It recommends that functions should be small, do one thing, have descriptive names, and avoid side effects. Functions with many arguments or switch statements are harder to understand. Exceptions should be used instead of return codes to indicate errors. Overall, following best practices for functions helps produce code that is easy to read and maintain.
Vladimir Romanov - How to write code that is easy to read and change? What should you do when you see a piece of code written years ago which is hard to understand? In my experience, this boils down to 4 principles that I would like to share along with some examples in Apex
Go is a programming language created by Google to help solve problems with large software and hardware systems. It was designed to facilitate development of large codebases by many engineers. Some key problems it aimed to address were slowness, clumsiness and lack of productivity in other languages like C++. Go provides features like garbage collection, concurrency with goroutines and channels, and a standard library, while remaining simple and compiled. It grew from a small project at Google into an open source language adopted by many organizations.
This document discusses indexing strategies in MySQL to improve performance and concurrency. It covers how indexes can help avoid lock contention on tables by enabling concurrent queries to access and modify different rows. However, indexes can also cause deadlocks in some situations. The document outlines several cases exploring how indexes impact locking, covering indexes, sorting and query plans.
Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine. It allows JavaScript to be run on the server-side. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, especially for data-intensive real-time applications that run across distributed devices. It has a large and active community that supports it with packages for building all sorts of server-side applications and web services.
JavaScript Tutorial For Beginners | JavaScript Training | JavaScript Programm...Edureka!
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( ** Full Stack Web Development Training: https://www.edureka.co/masters-program/full-stack-developer-training ** )
This Edureka tutorial on JavaScript explains all the fundamentals of JavaScript with examples. It also explains various features and applications of JavaScript. Following are the topics included in this tutorial:
1. What Is JavaScript?
2. Why Use JavaScript
3. JavaScript Fundamentals
- Data Types
- Variables
- Constants
- Loops
- Conditional Statements
- Functions
[DevDay2018] Lets all get along. Clean Code please! - By: Christophe K. Ngo,...DevDay Da Nang
油
People talk about clean code and best practices but what do they really mean? We are going to explore these topics and share with you the fundamentals of clean code and how to be a good teammate and a coder people will respect even after they read your code!
Clean code is subjective and every developer has a personal take on it. There are some ideas that are considered best practice and what constitutes clean code within the industry and community, but there is no definitive distinction.
This document provides an overview of pair programming and discusses its benefits. It defines pair programming as two developers working together at one computer, with one typing code as the "driver" and the other reviewing the work and providing feedback as the "navigator". Research has found that pair programming can result in 15% fewer bugs and slightly better design quality compared to solo work. Benefits include improved learning, quality, focus, motivation and morale. The document also covers challenges, tips, and different pairing patterns like driver-navigator and ping-pong pairing.
Given that the database, as the canonical repository of data, is the most important part of many applications, why is it that we don't write database unit tests? This talk promotes the practice of implementing tests to directly test the schema, storage, and functionality of databases.
The document provides an overview of JavaScript, covering what it is, its basics, functions, objects, prototypes, scope, asynchronous JavaScript, JSON, debugging tools, performance, events, error handling, and the future of JavaScript. It discusses that JavaScript is an object-oriented scripting language used in web pages that is not tied to specific browsers but makes use of the DOM, BOM, and ECMAScript standards. It also summarizes some of JavaScript's core features like functions, objects, prototypes, and more.
The document discusses clean coding practices for Java developers. It covers topics such as choosing meaningful names for variables, methods, and classes; writing code that is easy for others to understand; breaking methods down into single logical steps; and using fluent APIs to make code more readable. The presentation provides examples of clean code and ways to refactor code to follow best practices.
Learning log4j for Java beginners with a sample set of projects using log4j 1.2.
This was done for Level 2 computer engineering students at University of Moratuwa 2015.
I have hosted the samples in github (https://github.com/lkamal/log4j-workshop
), so that you will be able to download and try yourself.
React is a JavaScript library for building user interfaces that aims to solve issues with data changing over time in large web applications. It introduces components, re-rendering on data changes rather than mutating data, and a virtual DOM for efficient re-rendering. React uses a unidirectional data flow and one-way data binding that improves design architecture and code reusability. Related technologies like JSX, Flux, GraphQL, Relay, and React Native further enhance React's capabilities.
Kotlin is a concise, safe, and statically typed programming language that compiles to JVM bytecode and JavaScript. It focuses on interoperability with Java and solves many Java pitfalls. Kotlin removes verbosity like semicolons and replaces "extends" and "implement" with a colon. Functions are defined with the "fun" keyword and return types follow. Properties are treated like fields. Kotlin avoids null references through null safety features like the safe call operator and non-null assertion operator. When expressions replace switch statements. Extension functions can extend existing classes without subclassing.
Presentaci坦n para la charla sobre el libro de Robert C. Martin, Clean Code.
Esta presentaci坦n la impart鱈 en CyLicon Valley, aqu鱈 ten辿is el video con el audio de la charla => https://www.youtube.com/watch?v=1Fss1jBfc3g
The document provides an overview of MongoDB administration including its data model, replication for high availability, sharding for scalability, deployment architectures, operations, security features, and resources for operations teams. The key topics covered are the flexible document data model, replication using replica sets for high availability, scaling out through sharding of data across multiple servers, and different deployment architectures including single/multi data center configurations.
This document provides a summary of a presentation on object-oriented programming (OOP) and clean code given at IPB Computer Science on March 28, 2017. It introduces the speaker, Ifnu Bima, and his background working at Deutsche Bank and blibli.com. The presentation covers topics like code quality metrics, meaningful naming conventions, high-quality functions, comments, and unit testing. It emphasizes writing code that is easy to maintain and modify over time to prevent issues like bugs and technical debt.
This document provides an overview and agenda for a presentation on Amazon DynamoDB. It discusses key concepts like tables, data types, partitioning, indexing and scaling in DynamoDB. It also provides best practices and examples for modeling different data scenarios like event logging, product catalogs, messaging apps and multiplayer games.
This document discusses principles for writing clean code in functions. It recommends that functions should be small, do one thing, have descriptive names, and avoid side effects. Functions with many arguments or switch statements are harder to understand. Exceptions should be used instead of return codes to indicate errors. Overall, following best practices for functions helps produce code that is easy to read and maintain.
Vladimir Romanov - How to write code that is easy to read and change? What should you do when you see a piece of code written years ago which is hard to understand? In my experience, this boils down to 4 principles that I would like to share along with some examples in Apex
Go is a programming language created by Google to help solve problems with large software and hardware systems. It was designed to facilitate development of large codebases by many engineers. Some key problems it aimed to address were slowness, clumsiness and lack of productivity in other languages like C++. Go provides features like garbage collection, concurrency with goroutines and channels, and a standard library, while remaining simple and compiled. It grew from a small project at Google into an open source language adopted by many organizations.
This document discusses indexing strategies in MySQL to improve performance and concurrency. It covers how indexes can help avoid lock contention on tables by enabling concurrent queries to access and modify different rows. However, indexes can also cause deadlocks in some situations. The document outlines several cases exploring how indexes impact locking, covering indexes, sorting and query plans.
Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine. It allows JavaScript to be run on the server-side. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, especially for data-intensive real-time applications that run across distributed devices. It has a large and active community that supports it with packages for building all sorts of server-side applications and web services.
JavaScript Tutorial For Beginners | JavaScript Training | JavaScript Programm...Edureka!
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( ** Full Stack Web Development Training: https://www.edureka.co/masters-program/full-stack-developer-training ** )
This Edureka tutorial on JavaScript explains all the fundamentals of JavaScript with examples. It also explains various features and applications of JavaScript. Following are the topics included in this tutorial:
1. What Is JavaScript?
2. Why Use JavaScript
3. JavaScript Fundamentals
- Data Types
- Variables
- Constants
- Loops
- Conditional Statements
- Functions
[DevDay2018] Lets all get along. Clean Code please! - By: Christophe K. Ngo,...DevDay Da Nang
油
People talk about clean code and best practices but what do they really mean? We are going to explore these topics and share with you the fundamentals of clean code and how to be a good teammate and a coder people will respect even after they read your code!
Clean code is subjective and every developer has a personal take on it. There are some ideas that are considered best practice and what constitutes clean code within the industry and community, but there is no definitive distinction.
Robert C. Martin is a software engineer since 1970 who has edited and written several books. He co-authored the Agile Manifesto. The book Clean Code discusses principles of clean code such as functions doing one thing, avoiding duplications, and refactoring code in small steps. Tests are important to keep code flexible and readable by being fast, independent, repeatable, self-validating, and timely. Writing clean code is a craft that requires writing dirty code first and then cleaning it.
Code quality is important to ensure code is easy to understand, maintain and extend. Key aspects of code quality include having high test coverage, following design principles like SOLID, and using metrics like maintainability index and technical practices such as pair programming, code reviews, refactoring and test-driven development. Tools like Visual Studio and Resharper can help analyze code quality metrics and identify areas for improvement.
This document discusses refactoring code through careful modifications that do not change functionality. It emphasizes that refactoring requires rigorous unit testing to be done correctly. Successful refactoring can be achieved through uninterrupted work, pair programming, or test-driven development with an automated testing framework. Tests should be written early and often to catch errors introduced during refactoring. The minimum requirement for testing is assert statements, which provide an easy way to start testing without complex tools. Overall, the document stresses that refactoring is best approached as a disciplined process guided by thorough automated testing.
This document summarizes key principles for writing clean code as outlined in the book "Clean Code" by Robert C. Martin. It discusses ideas like writing code that is easy to read and understand through use of meaningful names, small functions that do one thing well, and avoiding duplication. It also covers principles for object-oriented design like encapsulation, organization for change, and separation of concerns. Testing philosophies like test-driven development and ensuring tests are fast, independent, repeatable, self-validating, and timely are also emphasized. The overall message is that writing clean code requires attention to structure, naming, formatting and testing to produce software that is simple, well-organized and a pleasure to maintain.
The document discusses the importance of coding standards and unit tests. It notes that coding standards help make code easier to understand, maintain and scale. Unit tests are important to improve software design, make code easier to understand, reduce debugging time and catch errors. The document then provides examples of good coding practices like using meaningful names, small and focused functions, and minimizing comments. It also covers different types of tests like unit, integration and acceptance tests. Finally it gives an overview of JUnit and components like assert methods.
WordCamp Nashville: Clean Code for WordPressmtoppa
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際際滷s from my talk at WordCamp Nashville, including notes. Covers why clean code is important, and provides 10 tips to make your code cleaner, for WordPress and beyond
The document discusses several important topics for software development including unit testing, clean coding principles, design patterns, and useful development tools. It emphasizes that tests are important for preventing bugs and should be included in all projects. Clean coding principles like DRY, KISS and SRP help produce code that is easier to read, change and maintain. Design patterns provide solutions to common problems and a shared vocabulary for developers. Useful tools include IDEs, version control systems, code analysis tools and text editors which can help programmers work more efficiently if used properly.
This document provides an overview of 30 tips for optimizing LotusScript development. It begins with introductions and outlines, then groups the tips into three sections: Theory, Practice, and Advanced. The Theory section covers 10 fundamental tips regarding best practices like using Option Declare, version control, application lifecycles, code structure, testing, and error handling. The Practice section presents 10 tips that should be implemented regularly, such as defensive coding, extending arrays, logging, and using NotesDateTime. The Advanced section introduces more complex topics like custom classes and binding. The goal is to help LotusScript developers improve code quality, maintainability, and performance.
This document provides 30 tips for optimizing LotusScript development, organized into sections on theory, practice, and advanced techniques, with the theoretical tips focusing on fundamentals, the practical tips on common best practices, and the advanced tips intended to provoke new ideas.
The View - Lotusscript coding best practicesBill Buchan
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This document discusses best practices for LotusScript coding. It covers topics like code structure, using short logical functions, defensive programming, variable naming conventions, and ensuring variables only exist as long as needed. The goal is to write code that is maintainable, reusable, and robust. Testing practices like test-driven development and separating development, testing, and production environments are also recommended to improve quality.
The document discusses essential skills that programmers need versus accidental skills. Essential skills are hard to acquire but long-lasting, including things like managing complexity, writing readable code, and limiting bugs. These skills separate good programmers from bad. Accidental skills like knowledge of a specific programming language are easier to obtain but have shorter usefulness. The document advocates spending time on design, planning, unit testing, discussing solutions with others, and considering alternative solutions rather than just focusing on writing code. Developing essential skills through these practices can help programmers continuously learn and improve over the course of their careers.
The document discusses various aspects of coding, including:
1) The goal of coding should be to make the code easy to test and maintain by writing clear, readable code rather than focusing only on reducing coding costs.
2) Programmers spend more time reading code than writing it, so code readability is important. Coding standards can improve readability.
3) Structured programming aims to simplify program structure by using only a few control constructs like sequencing, if-then-else, and while to make the code easier to understand and verify.
This document discusses refactoring and summarizes the key points from Martin Fowler's book Refactoring. It covers what refactoring is, when it should be used by recognizing code smells, and how it should be done through small, incremental changes backed by thorough testing. The benefits of refactoring include improving code quality by reducing bugs and technical debt, while making the code easier to understand and modify. Tools now make refactoring easier by providing code analysis, refactoring suggestions, and quick fixes.
If your project has working features, a living design system, quality assurance and a code style guide, there is nothing that you will learn in this talk. Maybe.
This document provides summaries of what several experts consider "clean code". It discusses how clean code is readable, focused on doing one thing well, has minimal dependencies, is well-tested, has meaningful names, and shows that the author cares about quality. Overall, clean code is well-crafted, maintains professional standards, and can be easily understood and maintained by other programmers.
This course provides a detailed introduction to the Object Oriented techniques identified by Robert Martin as the SOLID principles of software design. Intended for both novice and intermediary developers, each of the five principles are fully defined and explored. Real-world coding examples are provided for each software tenant to help fully expound upon the design techniques. By the end of the session, developers will be able to identify common code smells while applying SOLID programming practices that ensure clean and maintainable code.
Discover how AI-powered chatbots enhance employee support by streamlining HR tasks, reducing administrative burdens, and providing real-time assistance. Learn about their integration with platforms like WhatsApp and MS Teams for a seamless experience.
ElasticSearch Course that goes from the basic and quickly dives deep in the most important topics to build efficient cluster: model data, search quicly, aggregate and process data, distribute and manage data as well as cluster management.
ChatGPT and DeepSeek: Which AI Tool Delivers Better User Experience?Ava Isley
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This PPT on "ChatGPT and DeepSeek: Which AI Tool Delivers Better User Experience?" provides a comparative analysis of the two AI tools, focusing on usability, interface design, customization, and overall user satisfaction.
It evaluates their strengths and weaknesses to determine which offers a superior experience.
For businesses seeking custom software development services in USA, choosing the right AI tool is essential for enhancing automation, customer interaction, and workflow efficiency.
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Ever heard of AI? We have! Espacially Andrea Canale, an Integration Architect ready to shed light on The MAC Project: an open-source initiative for integrating AI with MuleSoft. He'll show its key features and learn how to leverage AI capabilities to drive automation and enhance decision-making.
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Projects Panama, Valhalla, and Babylon: Java is the New Python v0.9Yann-Ga谷l Gu辿h辿neuc
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Java has had a tremendous success and, in the last few years, has evolved quite significantly. However, it was still difficult to interface with libraries written in other programming language because of some complexity with JNI and some syntactic and semantic barriers. New projects to improve Java could help alleviate, even nullify, these barriers. Projects Panama, Valhalla, and Babylon exist to make it easier to use different programming and memory models in Java and to interface with foreign programming languages. This presentation describes the problem with the Java isthmus and the three projects in details, with real code examples. It shows how, combined, these three projects could make of Java the new Python.
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2. YAGNI
YAGNI = You Aint Gonna Need It
Emerged as one of the key principles of Extreme Programming
Always implement things when you actually need them, never when you just think that
you may need them
Do the Simplest Thing That Could Possibly Work
4. YAGNI
Reasons why this principle exists:
Prevents waste of time with unnecessary work
Improves the developer productivity and product simplicity
Remember: features are expensive, both to develop and maintain
Product changes requirements, all the time!
5. YAGNI
Every line of code we dont write is dollars we didnt spend, and time on the calendar
we get back for free. Tim Evans-Ariyeh
The cheapest, fastest, and most reliable components of a computer system are those
that arent there. Gordon Bell
6. YAGNI
The cost of build: all the effort spent on analyzing, programming, and testing this now
useless feature.
More code to compile
More code to maintain
More chances to cause bugs
Confuse developers. Whats this code for?
7. YAGNI
The common reason why people build presumptive features is because they think it will
be cheaper to build it now rather than build it later.
Cost of delay: put a full storm risks feature into production and be generating revenue
only months earlier.
cost of carry: the presumptive feature adds some complexity to the software, this
complexity makes it harder to modify and debug that software, thus increasing the cost
of other features.
8. YAGNI
Yagni is only a viable strategy if the code is easy to change, so expending effort on
refactoring isn't a violation of yagni because refactoring makes the code more
malleable.
It actually requires malleable code.
10. Clean Code
Code that is easy to understand and easy to change
It is not enough for code to work!
"Any fool can write code that a computer can understand.
Good programmers write code that humans can understand."
- Martin Fowler
12. Clean code
You should name a variable using the same care with which you name a first-born
child.
It is not the language that makes programs appear simple. It is the programmer that
make the language appear simple!
Of course bad code can be cleaned up. But its very expensive.
Code, without tests, is not clean. No matter how elegant it is, no matter how readable
and accessible, if it hath not tests, it be unclean
If you're good at the debugger it means you spent a lot of time debugging. I don't want
you to be good at the debugger.
Robert C. Martin
13. Clean code - Meaningful Names
Variables
int count; // elapsed time in days;
int = elapsedTimeInDays;
Classes
Represent "things" - should be nouns, avoid verbs
For example: Customer, WikiPage, Account, and AddressParser
Methods
Do things - should have verb or verb phrase names
For example: convert(), delete(), or save().
14. Clean code - Arguments
A function shouldnt have more than 3 arguments. Keep it as low as possible.
How to solve it?
When a function seems to need more than two or three arguments, it is likely that some
of those arguments ought to be wrapped into a class of their own.
Reducing the number of arguments by creating objects out of them may seem like
cheating, but its not.
15. Clean code - Methods or functions
The first rule of functions is that they should be small. The second rule of functions is
that they should be smaller than that - Robert Martin
Do one thing!
Methods should not have more than an average of 20 code lines
If needed, extract it to another method with a proper name that does a single thing
It's always better read one method containing 20 lines calling 10 different methods,
than method containing 400 lines unnamed logic and twisted commentary.
16. Clean code - Classes
Rather than count lines, count responsibilities - Single Responsibility Principle
Many small classes is better
Large, multipurpose classes force us to scroll through code that we dont need to know
about right now.
OCP, Open Close Principle
Classes should be open for extension but closed for modifications
Ideally, we add new functionality by extending the system, not modifying the existing code.
17. Clean code - Classes
Classes should have a small number of instance variables
High cohesion is when you have a class that does a well defined job. Low cohesion is when a class does a lot of
jobs that don't have much in common.
Methods should affect as many variables in the class as possible to achieve high
cohesion
When variables arent used by many methods, those are probably begging for a new
class
When classes lose cohesion, its time to split them up.
18. Clean code - DRY principle
Dont Repeat Yourself (DRY)
Write Every Time (WET)
The biggest benefit of using DRY is maintainability.
Readability
Reuse
Cost
Testing
19. Clean code - Comments
If you are writing comments to prove your point, you are doing mistake!
Our code should explain everything. Be DRY
Correct naming can prevent comments.
Comments tend to be obsolete
*Legal and copyright comments are a different situation, they are necessary
20. Conclusion
Clean code means benefits: pleasant work, less stress, unit tests, easy debugging
and better quality.
You are reducing the cost of maintenance of the application you are writing.
You are making it easier to estimate the time needed for new features.
You are making it easier to fix bugs.
Essentially you are making the life easier for everyone involved in the project.