The document discusses principles of clean code and code smells. It provides definitions and examples of clean code from various experts, including short functions that do one thing, meaningful names, comments that are useful but not redundant, and following the law of Demeter. The document also discusses writing classes with good organization and a single responsibility.
The document discusses principles and best practices for writing clean code, including using meaningful names, separating commands and queries, avoiding repetition, using exceptions instead of return codes, and following object-oriented principles like polymorphism instead of switch statements on objects. It provides examples of good and bad code for concepts like single responsibility, primitive obsession, and refused bequest. The overall goal is to write code that is readable, maintainable, and extendable.
Presentación para la charla sobre el libro de Robert C. Martin, Clean Code.
Esta presentación la impartí en CyLicon Valley, aquí tenéis el video con el audio de la charla => https://www.youtube.com/watch?v=1Fss1jBfc3g
This document discusses principles of clean code based on the book "Clean Code" by Robert C. Martin. It provides examples of good and bad practices for naming variables and functions, structuring functions, using comments, and other topics. Key points include using meaningful names, keeping functions small and focused on a single task, avoiding deeply nested code and long argument lists, commenting to explain intent rather than state the obvious, and other guidelines for writing clean, readable code.
The document discusses the principles of clean code as outlined in the book "Clean Code" by Robert C. Martin. It covers topics like meaningful names, comments, functions, objects and data structures, error handling, and unit tests. The goal of clean code is to produce readable, maintainable code through practices like breaking code into small, single-purpose functions and hiding implementation details in objects.
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 discusses principles and best practices for writing clean code. It defines clean code as code that works, is easy to read, understand and extend. It emphasizes writing code for other developers who will maintain it. Some key points include writing small, focused methods with meaningful names; avoiding duplicated code; using exceptions appropriately; formatting code consistently; and writing thorough automated tests. The overall goal is to communicate intent in the code as clearly as possible through these practices.
Presentation on writing clean and maintainable good. I have present really simple steps to write high quality code and share many more benefit of writing clean code.
This document provides an overview of writing clean code, focusing on readability, code style, naming conventions, code comments, control structures, functions/methods, classes, and modules. Key points include formatting code for readability, using explicit and descriptive naming, minimizing comments by ensuring code is self-explanatory, limiting nested control structures and side effects, following single responsibility and encapsulation principles, and leveraging software patterns.
The document discusses principles of clean code, beginning with definitions of clean code from various authors. It outlines key principles like the single responsibility principle and open/closed principle. It then covers sections on meaningful naming, functions, and classes. For functions, it recommends they be small, do one thing, avoid flag arguments, and have no side effects. For classes, it advocates for small size, encapsulation, high cohesion and low coupling following the single responsibility principle.
The document discusses clean code versus bad code. Clean code is easy to understand, maintain, and extend, while bad code is mysterious, fragile, and dangerous. The author provides tips for writing clean code such as using meaningful names, consistent formatting, small and focused functions, and comments that explain intent rather than state the obvious. The goal is to write code that is readable and maintainable over time.
clean code book summary - uncle bob - English versionsaber tabatabaee
The document provides guidance on writing clean code based on the book "Clean Code" by Robert Cecil Martin. Some of the key points discussed include:
- Functions should do one thing and do it well, with a single level of abstraction and no side effects. They should fit on a screen.
- Names should be meaningful, avoid abbreviations, and use consistent vocabulary. Class names should be nouns and method names should be verbs.
- Code formatting is important for readability. Classes should not exceed 200 lines, functions a single screen. Variables should be declared near use.
- Comments should only explain why unusual decisions were made, not what the code does. Avoid commented out code or redundant comments
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
Clean code is code that is elegant, efficient, focused, and readable. It should do one thing well. Bad code lacks these traits. Some heuristics for writing clean code include using descriptive naming, short methods that do one thing, avoiding comments when possible, consistent formatting, following object-oriented design principles like the Law of Demeter, and properly handling errors through exceptions.
Rule 1: Follow a consistent coding standard
Rule 2: Name things properly, long variable and function names are allowed
Rule 3: Be expressive, write code as you speak and be optimally verbose
Rule 4: Max indent per method should be 2, in case of exceptions 3
Rule 5: Avoid creating god object and long methods
Rule 6: Keep the method in one place, inject the class and call it, DRY
Rule 7: Avoid in-line comments (comment with code), put comments in the method doc
The document provides guidelines for coding standards and best practices to develop reliable and maintainable applications. It discusses topics like naming conventions, indentation and spacing, commenting code, avoiding bugs, and organizing code logically. The goal is to outline a standard approach for an entire team to follow to make the code easy to understand, modify and prevent errors. Key recommendations include using meaningful names, consistent indentation, separating concerns in methods, adding descriptive comments, handling errors gracefully and using source control.
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.
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.
The document discusses principles of writing clean code through perspectives from different authors. It emphasizes that clean code is readable, maintainable with minimal dependencies, well-tested, has meaningful names, focuses on doing one thing well with minimal lines of code per function. Comments should explain intent rather than make up for poor code quality. Function arguments, switch statements, and comments should be used judiciously.
How should a professional software developer behave in code? What guidelines should one follow? How should we name our constructs? What about OOP principles? What's their real use?
This classic training module in my training curricula is the cornerstone of my professionalism. These are my conduit guidelines at work. I've held this training > 10 times, including at Voxxed Days Bucharest 2016 and at a Bucharest Java User Group meetup.
The document discusses coding standards and guidelines for developers to follow. It recommends limiting lines of code to 20 lines per function, writing comments before code, using PascalCase for class and method names and camelCase for variables, and giving functions, classes and variables meaningful names. Developers should not use single character variable names or underscores for local variables, and should prefix boolean variables with "is". Namespace names should follow a standard pattern of company, product, top and bottom level modules. Formatting and readability of code is also important. Future sessions will cover additional coding standards, tools to improve practices, and packaging programs.
Slides of the talk held at JEEConf, Kiev and jPrime, Sofia. A personal view on the classic topics from the Uncle Bob's Clean Code bible, with some personal additions and tips&tricks. This topic actually represents the core of the training sessions that I provide as an independent trainer (www.victorrentea.ro)
The document discusses interfaces in Java. It defines an interface as a syntactically similar to a class but lacking instance variables and having methods declared without bodies. Interfaces are defined using the interface keyword. A class implements an interface by providing implementations for all the interface's methods. Variables can be declared with an interface type and refer to any class that implements the interface, allowing polymorphic calls through interfaces.
Chia sẻ về Clean Code tại XPDay Vietnam 2016.
Clean Code là gì?
Tại sao phải Clean Code?
Clean Code có khó không?
Một số ví dụ thực tế về áp dụng Clean Code.
This document discusses TypeScript, a superset of JavaScript that adds optional static typing and class-based object-oriented programming. It allows developers to gradually introduce typing into JavaScript code for improved productivity and catch errors early. The document covers TypeScript features like interfaces, classes, modules, type definitions, and comparisons to alternatives like CoffeeScript and Dart. It concludes that TypeScript allows gradual adoption of typing while following the future ECMAScript standard.
This document discusses various control flow statements in Java including branching statements, looping statements, and jump statements. It provides examples of if, if-else, if-else-if statements, switch statements, for loops, while loops, do-while loops, break, continue, and return statements. Key points include:
- Branching statements like if, if-else, if-else-if are used to control program flow based on boolean conditions. Switch statements provide an alternative for multiple if-else statements.
- Looping statements like for, while, do-while repeat a block of code while/until a condition is met.
- Jump statements like break and continue control flow within loops, while
Abstract for the presentation:
F# is a language I am passionate about and a language I would like to use on my day job, and for that to be a reality I need you to join me! I want you to join me in the welcoming F# community where you can see a new world open up for you and enabling you to solve problems more efficiently than you do today with C#. F# is not a language that is used only in academia, it is a general purpose language that is growing every day with an awesome community of brilliant people. F# also defines the future of C# in many ways, so if you want to be ahead of the game you should jump on the F# bandwagon today. There are many reasons to learn F# like; a new paradigm will make you a better overall developer, F# will make you write less bugs and you will have more fun at work!
I this presentation I will show you:
What the strengths of F# are
Why you should start using F#
How you get started with F#
Don't hesitate, join the F# movement. The only way to improve is to change!
The document discusses code quality and its importance. It defines code quality as code that works functionally, is testable, and is easy to maintain. It identifies good practices such as writing testable code, avoiding complexity, and following principles like DRY. Tools like test frameworks, code coverage tools, static analysis tools, and integrated tools like Sonar can help ensure code quality and catch issues early.
Presentation on writing clean and maintainable good. I have present really simple steps to write high quality code and share many more benefit of writing clean code.
This document provides an overview of writing clean code, focusing on readability, code style, naming conventions, code comments, control structures, functions/methods, classes, and modules. Key points include formatting code for readability, using explicit and descriptive naming, minimizing comments by ensuring code is self-explanatory, limiting nested control structures and side effects, following single responsibility and encapsulation principles, and leveraging software patterns.
The document discusses principles of clean code, beginning with definitions of clean code from various authors. It outlines key principles like the single responsibility principle and open/closed principle. It then covers sections on meaningful naming, functions, and classes. For functions, it recommends they be small, do one thing, avoid flag arguments, and have no side effects. For classes, it advocates for small size, encapsulation, high cohesion and low coupling following the single responsibility principle.
The document discusses clean code versus bad code. Clean code is easy to understand, maintain, and extend, while bad code is mysterious, fragile, and dangerous. The author provides tips for writing clean code such as using meaningful names, consistent formatting, small and focused functions, and comments that explain intent rather than state the obvious. The goal is to write code that is readable and maintainable over time.
clean code book summary - uncle bob - English versionsaber tabatabaee
The document provides guidance on writing clean code based on the book "Clean Code" by Robert Cecil Martin. Some of the key points discussed include:
- Functions should do one thing and do it well, with a single level of abstraction and no side effects. They should fit on a screen.
- Names should be meaningful, avoid abbreviations, and use consistent vocabulary. Class names should be nouns and method names should be verbs.
- Code formatting is important for readability. Classes should not exceed 200 lines, functions a single screen. Variables should be declared near use.
- Comments should only explain why unusual decisions were made, not what the code does. Avoid commented out code or redundant comments
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
Clean code is code that is elegant, efficient, focused, and readable. It should do one thing well. Bad code lacks these traits. Some heuristics for writing clean code include using descriptive naming, short methods that do one thing, avoiding comments when possible, consistent formatting, following object-oriented design principles like the Law of Demeter, and properly handling errors through exceptions.
Rule 1: Follow a consistent coding standard
Rule 2: Name things properly, long variable and function names are allowed
Rule 3: Be expressive, write code as you speak and be optimally verbose
Rule 4: Max indent per method should be 2, in case of exceptions 3
Rule 5: Avoid creating god object and long methods
Rule 6: Keep the method in one place, inject the class and call it, DRY
Rule 7: Avoid in-line comments (comment with code), put comments in the method doc
The document provides guidelines for coding standards and best practices to develop reliable and maintainable applications. It discusses topics like naming conventions, indentation and spacing, commenting code, avoiding bugs, and organizing code logically. The goal is to outline a standard approach for an entire team to follow to make the code easy to understand, modify and prevent errors. Key recommendations include using meaningful names, consistent indentation, separating concerns in methods, adding descriptive comments, handling errors gracefully and using source control.
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.
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.
The document discusses principles of writing clean code through perspectives from different authors. It emphasizes that clean code is readable, maintainable with minimal dependencies, well-tested, has meaningful names, focuses on doing one thing well with minimal lines of code per function. Comments should explain intent rather than make up for poor code quality. Function arguments, switch statements, and comments should be used judiciously.
How should a professional software developer behave in code? What guidelines should one follow? How should we name our constructs? What about OOP principles? What's their real use?
This classic training module in my training curricula is the cornerstone of my professionalism. These are my conduit guidelines at work. I've held this training > 10 times, including at Voxxed Days Bucharest 2016 and at a Bucharest Java User Group meetup.
The document discusses coding standards and guidelines for developers to follow. It recommends limiting lines of code to 20 lines per function, writing comments before code, using PascalCase for class and method names and camelCase for variables, and giving functions, classes and variables meaningful names. Developers should not use single character variable names or underscores for local variables, and should prefix boolean variables with "is". Namespace names should follow a standard pattern of company, product, top and bottom level modules. Formatting and readability of code is also important. Future sessions will cover additional coding standards, tools to improve practices, and packaging programs.
Slides of the talk held at JEEConf, Kiev and jPrime, Sofia. A personal view on the classic topics from the Uncle Bob's Clean Code bible, with some personal additions and tips&tricks. This topic actually represents the core of the training sessions that I provide as an independent trainer (www.victorrentea.ro)
The document discusses interfaces in Java. It defines an interface as a syntactically similar to a class but lacking instance variables and having methods declared without bodies. Interfaces are defined using the interface keyword. A class implements an interface by providing implementations for all the interface's methods. Variables can be declared with an interface type and refer to any class that implements the interface, allowing polymorphic calls through interfaces.
Chia sẻ về Clean Code tại XPDay Vietnam 2016.
Clean Code là gì?
Tại sao phải Clean Code?
Clean Code có khó không?
Một số ví dụ thực tế về áp dụng Clean Code.
This document discusses TypeScript, a superset of JavaScript that adds optional static typing and class-based object-oriented programming. It allows developers to gradually introduce typing into JavaScript code for improved productivity and catch errors early. The document covers TypeScript features like interfaces, classes, modules, type definitions, and comparisons to alternatives like CoffeeScript and Dart. It concludes that TypeScript allows gradual adoption of typing while following the future ECMAScript standard.
This document discusses various control flow statements in Java including branching statements, looping statements, and jump statements. It provides examples of if, if-else, if-else-if statements, switch statements, for loops, while loops, do-while loops, break, continue, and return statements. Key points include:
- Branching statements like if, if-else, if-else-if are used to control program flow based on boolean conditions. Switch statements provide an alternative for multiple if-else statements.
- Looping statements like for, while, do-while repeat a block of code while/until a condition is met.
- Jump statements like break and continue control flow within loops, while
Abstract for the presentation:
F# is a language I am passionate about and a language I would like to use on my day job, and for that to be a reality I need you to join me! I want you to join me in the welcoming F# community where you can see a new world open up for you and enabling you to solve problems more efficiently than you do today with C#. F# is not a language that is used only in academia, it is a general purpose language that is growing every day with an awesome community of brilliant people. F# also defines the future of C# in many ways, so if you want to be ahead of the game you should jump on the F# bandwagon today. There are many reasons to learn F# like; a new paradigm will make you a better overall developer, F# will make you write less bugs and you will have more fun at work!
I this presentation I will show you:
What the strengths of F# are
Why you should start using F#
How you get started with F#
Don't hesitate, join the F# movement. The only way to improve is to change!
The document discusses code quality and its importance. It defines code quality as code that works functionally, is testable, and is easy to maintain. It identifies good practices such as writing testable code, avoiding complexity, and following principles like DRY. Tools like test frameworks, code coverage tools, static analysis tools, and integrated tools like Sonar can help ensure code quality and catch issues early.
Agileee Developers Toolkit In The Agile WorldAgileee
This document discusses the importance of writing clean code and using refactoring techniques in an agile development environment. It introduces tools like test-driven development, clean code principles, and emergent design that can help developers improve code quality. Refactoring is presented as a key way to transform "dirty" code into clean code through incremental changes while preserving external behavior. The document encourages learning practices like code katas, coding dojos, and code retreats to help aspiring software craftsmen improve.
Maintaining the product is one (if not the most) expensive area of the overall product costs. Writing clean code can significantly lower these costs, making it more efficient during the initial development and results in more stable code. In this session participants will learn how to apply C# techniques in order to improve the efficiency, readability, testability and extensibility of code.
As a programmer, you are wondering what it takes to grow your career in a fast-changing environment. This talk is about a path for your career growth.
As a manager you are wondering how you can optimize your software development teams. This talk is about a model to use for a rough evaluation and improvement of your teams.
As a business owner, CEO or CTO, your primary request for development teams is to quickly add features. This talk is about a model for optimizing implementation time.
The pyramid of programming skillsets is a model based on the usefulness of programming skills when changing code fast is the most important business objective. Let’s explore five skillset levels I identified when working with teams of programmers around Europe. We will discuss each level and how to move from one level to another.
HotSpot, the JVM we all know and love, is the brain in which our Java and Scala juices flow. At its core lies the JIT (“Just-In-Time”) compiler, whose sole purpose is to make your code run fast. Here are some of the more interesting optimizations performed by it.
Why should we use TDD to develop in Elixir? When we are applying it correctly? What are the differences that we can find in a code developed with TDD and in code not developed with it? Is it TDD about testing? Really? In this talk, I'll show what is TDD and how can be used it in functional programming like Elixir to design the small and the big parts of your system, showing what are the difference and the similarities between an OOP and FP environment. Showing what is the values of applying a technique like TDD in Elixir and what we should obtain applying it.
AN EXERCISE IN CLEANER CODE - FROM LEGACY TO MAINTAINABLE - CFObjective() 2017Ortus Solutions, Corp
We’ve all had those projects, the salvage project, the legacy project that we picked up, and wished we never had.
Was it written 5 years ago by that young dev with lots of passion but no big picture vision.
Was it written 6 months ago by another team, by a top gun developer who knows all the design patterns, and tried to future proof the app, only succeeding in making it impossible for anyone else to understand.
Or was it you, 2 years ago, before you joined the community and learned more about best (better) practices and you almost cannot comprehend how you used to code.
Long story short, we have all been there, but the past is history, how do we proceed from here, that’s the key. We’ll look at some of the ways you can clean up your code, and walk through some examples, and walk the journey to software craftsmanship
5 main points
What is clean code
Reading vs Writing Code
Don’t suffocate your code, let it breathe
Simple & Self Documenting Code
Lower the Cognitive Load
AN EXERCISE IN CLEANER CODE - FROM LEGACY TO MAINTAINABLEGavin Pickin
We’ve all had those projects, the salvage project, the legacy project that we picked up, and wished we never had.
Was it written 5 years ago by that young dev with lots of passion but no big picture vision.
Was it written 6 months ago by another team, by a top gun developer who knows all the design patterns, and tried to future proof the app, only succeeding in making it impossible for anyone else to understand.
Or was it you, 2 years ago, before you joined the community and learned more about best (better) practices and you almost cannot comprehend how you used to code.
Long story short, we have all been there, but the past is history, how do we proceed from here, that’s the key. We’ll look at some of the ways you can clean up your code, and walk through some examples, and walk the journey to software craftsmanship
5 main points
What is clean code
Reading vs Writing Code
Don’t suffocate your code, let it breathe
Simple & Self Documenting Code
Lower the Cognitive Load
The document discusses various ways to measure and improve code quality, including avoiding poor practices that can decrease code quality. It provides examples of real-world code with quality issues, such as unnecessary comments, exceptions handled poorly, and unclear naming. The document emphasizes writing code for readability and maintainability by future developers. It also promotes principles like keeping code simple, avoiding repetition, and separating concerns.
Brutal refactoring, lying code, the Churn, and other emotional stories from L...Matthias Noback
PHP Benelux 2019 edition
Working effectively with legacy code isn’t all about creating test harnesses before refactoring algorithms. The “safety first” strategy doesn’t always apply. Not if the code you’re looking at is LYING IN YOUR FACE anyway.
In this talk I’ll show you what brutal refactoring is. I’ll show you the red glowy eyes of the Churn. And I’ll hold up some big warning signs that should prevent you from producing legacy code today.
Table flips allowed.
This document discusses improving code health in MariaDB Server. It defines what healthy code is, including being well tested, using pure functions, keeping functions simple, and being predictable. It then discusses why code health is important for fewer bugs, easier debugging, and faster development. The document provides examples of unhealthy code like dead code, large classes and functions, side effects, and warnings. It concludes with recommendations to improve code health such as keeping commits small, using staging branches, improving documentation, adding more unit tests, and continuing code reviews.
The document discusses clean code principles such as writing code for readability by other programmers, using meaningful names, following the DRY principle of not repeating yourself, and focusing on writing code that is maintainable and changeable. It provides examples of clean code versus less clean code and emphasizes that code is written primarily for human consumption by other programmers, not for computers. The document also discusses principles like the Single Responsibility Principle and the Boy Scout Rule of leaving the code cleaner than how you found it. It questions how to measure clean code and emphasizes the importance of writing tests for code and refactoring legacy code without tests.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1VoUxQr.
Rachel Reese talks about Jet.com's chaos testing methods and code in depth, but also lays out a path to implementation that everyone can use. Filmed at qconlondon.com.
Rachel Reese is a long-time software engineer and math geek. She currently helps run the Nashville F# User group, NashFSharp, and previously ran the Burlington, VT functional programming user group, VTFun. She's also an ASPInsider, an F# MVP, a community enthusiast, one of the founding lambdaladies, and a Rachii.
This document discusses unit testing at different developer experience levels. A level 1 developer thinks code always works properly without needing tests. A level 2 developer sees value in occasional manual testing but not unit tests due to cost. A level 5 developer sees value in basic unit tests to prevent bugs. A level 11 developer understands principles of unit tests like being simple, independent, complete, and deterministic. Higher levels emphasize high test coverage, using tests for documentation and design, and ensuring tests are reproducible. The document provides examples of good and bad unit test code and discusses tools for measuring coverage.
Rubyconf2016 - Solving communication problems in distributed teams with BDDRodrigo Urubatan
This was my talk in Rubyconf Brazil 2016, it summarises some of my experience using BDD to improve team interaction and communication in local and distributed teams, what are the differences, what benefits I found and how I used it.
I mainly focus in BDD as a communication tool, the automated tests are only a very good side effect, but I've already used it without test automation too.
The document discusses switch case statements and looping in programming. It provides examples of switch case statements that allow a program to execute different code depending on the value of a variable. It also discusses the three main types of loops - for, while, and do while loops - and provides examples of how to write each type of loop. The document is intended to help explain switch case statements and looping to programmers.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
How can one start with crypto wallet development.pptxlaravinson24
This presentation is a beginner-friendly guide to developing a crypto wallet from scratch. It covers essential concepts such as wallet types, blockchain integration, key management, and security best practices. Ideal for developers and tech enthusiasts looking to enter the world of Web3 and decentralized finance.
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
Read More:- https://www.esofttools.com/nsf-to-pst-converter.html
⭕️➡️ FOR DOWNLOAD LINK : http://drfiles.net/ ⬅️⭕️
Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
Key improvements and features of Cinema 4D 2025 include:
Procedural Modeling: New tools and workflows for creating models procedurally, including fabric weave and constellation generators.
Procedural Animation: Field Driver tag for procedural animation.
Simulation Enhancements: Improved particle, Pyro, and rigid body simulations.
Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
Particle Node Modifier: New particle node modifier for creating particle scenes.
Learning Panel: Intuitive learning panel for new users.
Redshift Integration: Maxon now includes access to the full power of Redshift rendering for all new subscriptions.
In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
Email: [email protected]
Phone: +1(630) 349 2411
Website: https://www.fexle.com/blogs/agentexchange-an-ultimate-guide-for-salesforce-consultants-businesses/?utm_source=slideshare&utm_medium=pptNg
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
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Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
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2. What‘s the content?
// try to find a simple definition
What is Clean Code?
// try to convince them, so you don‘t have to force them
Why do I need Clean Code?
// show some simple rules
How to produce Clean Code?
8. What is Clean Code?
Ward Cunningham
“You know you are working
on clean code, when each routine
you read turns out to be
the pretty much what you
expected“
17. Robert C. Martin
(aka Uncle Bob)
“The Boy Scout Rule“
How to produce Clean Code?
// General
18. How to produce Clean Code?
// Naming
“Names are sound and smoke”
Johannes Wolfgang von Goethe – Faust I
19. How to produce Clean Code?
Take care about names!
// we name everything:
// variables, functions, arguments, classes, packages
// Naming
20. How to produce Clean Code?
public class DtaRcrd102 {
private Date genymdhms;
private Date modymdhms;
private static final String pszqint = “102“;
}
// Naming
Use Pronounceable Names
21. How to produce Clean Code?
public class Customer {
private static final String RECORD_ID = “102“;
private Date generationTimestamp;
private Date modificationTimestamp;
}
// Naming
Use Pronounceable Names
22. How to produce Clean Code?
private String m_dsc;
// Naming
Avoid Encodings (member prefixes)
private PhoneNumber phoneString;
Avoid Encodings (hungarian notation)
23. How to produce Clean Code?
private String description;
// Naming
Avoid Encodings (member prefixes)
private PhoneNumber phone;
Avoid Encodings (hungarian notation)
24. How to produce Clean Code?
Add Meaningful Context
fistName, lastName, street, city, state, zipcode
// a better solution
addressFirstName, addressLastName, addressState
// a better solution
Adress myAddress = new Address();
myAddress.getFirstName();
// Naming
25. How to produce Clean Code?
Small!
Rules of Functions:
1. should be small
2. should be smaller than that
// < 150 characters per line
// < 20 lines
// Functions
26. How to produce Clean Code?
Do One Thing
Functions should do ONE thing.
They should do it WELL.
They should do it ONLY.
// Functions
27. How to produce Clean Code?
One Level of Abstraction
// high level of abstraction
getHtml();
// intermediate level of abstraction
String pagePathName = PathParser.getName( pagePath );
// remarkable low level
htmlBuilder.append(“n”);
// Functions
28. How to produce Clean Code?
Switch Statements
class Employee {
int getSalary() {
switch( getType() ) {
case EmployeeType.ENGINEER:
return _monthlySalary;
case EmployeeType.SALESMAN:
return _monthlySalary + _commission;
case EmployeeType.MANAGER:
return _monthlySalary + _bonus;
default:
throw new InvalidEmployeeException();
}
}
}
// Functions
29. How to produce Clean Code?
Switch Statements
interface Employee {
int getSalary();
}
class Salesman implements Employee {
int getSalary() {
return getMonthlySalary() + getCommision();
}
}
class Manager implements Employee {
…
}
// Functions
30. How to produce Clean Code?
// niladic
getHtml();
// monadic
execute( boolean executionType );
// dyadic
assertEquals(String expected, String actual);
// triadic
drawCircle(double x, double y, double radius);
// Function Arguments
31. How to produce Clean Code?
Improve Monadic Functions with Flag Argument
// ???
execute( boolean executionType );
// !!!
executeInSuite();
executeStandAlone();
// Function Arguments
32. How to produce Clean Code?
Improve Dyadic Functions with two similar Argument Types
// ???
assertEquals(String expected, String actual);
assertEquals(String actual, String expected);
// !!!
assertExpectedEqualsActual(expected, actual);
// Function Arguments
33. How to produce Clean Code?
Improve Triadic Functions with three similar Argument Types
// ???
drawCircle(double x, double y, double radius);
drawCircle(double radius, double x, double y);
// …
// !!!
drawCircle(Point center, double radius);
// Function Arguments
34. How to produce Clean Code?
Don‘t comment bad code, rewrite it!
// Comments
35. How to produce Clean Code?
Noise
/** Default Consturctor */
public AnnaulDateRule() { … }
/** The day of the Month. */
private int dayOfMonth();
/** Returns the day of the Month.
@return the day of the Month. */
public int getDayOfMonth() {
return dayOfMonth;
}
// Comments
36. How to produce Clean Code?
Scary Noise
/** The name. */
private String name;
/** The version. */
private String version;
/** The licenseName. */
private String licenseName;
/** The version. */
private String info;
// Comments
37. How to produce Clean Code?
Don‘t use comments if you can use a Function/Variable
// does the moduel from the global list <mod> depend on the
// subsystem we are part of?
if(smodule.getDependSubsystems()
.contains(subSysMod.getSubSystem())) { … }
// improved
ArrayList moduleDependencies = module.getDependentSubsystems();
String ourSubsystem = subSystemModule.getSubSystem();
if( moduleDependencies.contains( ourSubsystem ) ) { … }
// Comments
38. How to produce Clean Code?
The Law of Demeter
// Bad
String outputDir = ctxt.getOptions()
.getScratchDir()
.getAbsolutePath();
// Good
String outputDir = ctxt.getScratchDirPath();
// Data Access
39. How to produce Clean Code?
Prefer Exceptions to Returning Error Codes
if( deletePage( page ) == E_OK ) {
if( registry.deleteReference(page.name) == E_OK ) {
if( configKeys.deleteKey( page.name.makeKey() ) == E_OK ) {
logger.log(“page deleted”);
} else {
logger.log(“configKey not deleted”);
}
} else {
logger.log(“deleteReference from registry failed”);
}
} else {
logger.log(“delete failed”);
}
// Error Handling
40. How to produce Clean Code?
Prefer Exceptions to Returning Error Codes
try {
deletePage(page);
registry.deleteReference(page.name);
configKeys.deleteKey(page.name.makeKey());
} catch( Exception e ) {
logger.log(e.getMessage());
}
// Error Handling
41. How to produce Clean Code?
Extract Try/Catch Blocks
public void delete(Page page) {
try {
deletePageAndAllReferences( page );
} catch ( Exception e ) {
logError( e );
}
}
private void deletePageAndAllReferences(Page page) throws Exception {
deletePage( page );
registry.deleteReference(page.name);
configKeys.deleteKey(page.name.makeKey());
}
// Error Handling
43. How to produce Clean Code?
Don‘t return Null
List<Employee> employees = getEmployees();
for( Employee employee : employees ) {
totalSalary += employee.getSalary();
}
// Error Handling
44. How to produce Clean Code?
Small!
Rules of Classes:
1. should be small
2. should be smaller than that
// Single Responsibility Principle (SRP)
// a class should have one, and only one, readon to change
// Classes
45. How to produce Clean Code?
// More Information
Have a look at:
#6: Author of „Object Oriented Analysis and Design with Applications“
-> fundamentals of UML
#7: Author of „The Programmatic Programmer“ and created the phrases ‚Code Kata‘ and ‚DRY‘
#8: Author of „Working Effectively woth legacy Code“
#9: Inventor of Wiki
coinventor of eXtreme Programming
Motive force behinde Design Patterns
#13: Want to impress your mom? Tell her you’re an author!
An author is someone who practices writing as a profession.
Developers write all day.
It’s easy to forget that each line of code we write is likely to be read 10 or more times by humans during its lifetime. These humans are our fellow co-workers. (fixing bugs and adding features)Great authors are known for writing books that tell a clear, compelling story. They use tools like chapters, headings, and paragraphs to clearly organize their thoughts and painlessly guide their reader.
Developers work in a very similar system, but simply use different jargon of namespaces, classes, and methods.
#14: Everyone knows the previous co-worker whose name became a verb to describe dirty code.
#15: laziness can be a positive attribute in the right context.
As I stumbled through writing code in my early years, I learned the hard way that writing clean code really pays off. Professional developers strive to be the good kind of lazy.
This laziness is based on putting extra care into the code so that it’s not so hard to write up front, and it’s easier to work with later.
Code read to write ratio is 10:1 -> like Database
-> brain sucks as cache