The document discusses the concept of composition in programming. It provides examples of how to compose objects and functions to maximize code reuse. It promotes writing small, single-purpose functions that can be reused and combined through patterns like chaining and piping. This allows building complex programs from simple, composable parts that work together through universal interfaces like streams.
The C++ language, compilers and libraries are heading yet farther towards a stricter control over what programmers write. It is good. All of you probably heard jokes about #define true ((rand() % 100) < 95 ? true : false). But joking apart, the possibility to redefine keywords makes a program very difficult to understand or leads to strange errors.
New Java version from the functional programmer perspective.
Talk I gave @ Informatica.
Covers most major Java 8 additions including default methods, lambda expressions, PermGen removal, stream api, etc.
Slides online: http://hakutaku.me/j8
Code examples: https://github.com/Oregu/j8
Xtend is a Java-compatible language developed by Eclipse. It has a simpler syntax than Java and compiles to Java bytecode. Xtend supports features like lambda expressions, extension methods, and switch expressions. It has strong tooling support in Eclipse and IntelliJ IDEs. Xtend aims to be a pragmatic alternative to Java for development while maintaining full interoperability.
This document outlines an introductory workshop on Python programming. It discusses Python's core features like dynamic typing, object orientation, and support for multiple paradigms. It also covers basic syntax like variables, conditionals, loops, functions and classes. The workshop involves coding examples like FizzBuzz and analyzing text files. It highlights Python's extensive standard library and popular frameworks. Attendees are encouraged to ask questions to clarify any unclear concepts during the session.
F# is a new functional programming language created by Microsoft Research that will have a CTP release this summer. It is based on OCaml and allows for functional, object-oriented and imperative programming. Key features include type inference, immutable values like lists and tuples, pattern matching, and support for generics. Functions are basic units that can be composed in various ways for more expressive code. F# also supports object-oriented features like classes while allowing a functional approach.
Скомпилировалось — значит работает. К сожалению это выражение не про typescript. Кажется, что количество рантайм ошибок спровоцированных несоответствием типов должно стать меньше, однако компилятор ts не помогает разработчику писать качественный код, а наоборот поощряет использование грязных хаков. Филипп Сапронов рассказывает, как прекратить войну с компилятором и писать более надёжный код, используя всю мощь системы типов. Доклад будет интересен тем, кому ts кажется простым или наоборот сложным, а также тем, кто хочет научится понимать код тайпингов таких библиотек как lodash.
This document summarizes key features of the Groovy programming language, including dynamic typing, closures, operators, collections, strings, files, metaprogramming, and intercepting method calls. It provides examples of defining variables and functions without types, currying closures, working with strings, lists, maps, files, extending core classes, modifying classes at runtime using metaclasses, and intercepting method invocations.
This document discusses monadic programming (MP) in Clojure. It begins with introductions to monads and monadic programming in Haskell. It then discusses reasons for using MP in Clojure despite it not having static typing or being purely functional. It explains two libraries for MP in Clojure - clojure.algo.monads and funcool/cats - and how they implement monads using macros and protocols. Examples are given of using monads for error handling in a reverse Polish notation calculator and for representing probability distributions.
The document discusses functions as first-class objects in Ruby. It explains that functions can be passed as arguments to other functions, and functions that accept other functions as arguments are known as higher-order functions. This allows patterns of computation to be abstracted and combined. Examples are given of functions like map, filter, and reduce that iterate over collections and accept a block to encapsulate the iteration logic. Closures are also discussed, where a function captures variables from its enclosing scope, allowing those variables to be accessed even after the function is returned.
This document provides an overview and introduction to the Groovy programming language. It discusses Groovy's origins and influences, how to get started with Groovy, key features like dynamic and static typing, closures, meta-programming, and the Groovy ecosystem including tools like Gradle and Spock. Code examples are provided to demonstrate various Groovy concepts in action.
On Functional Programming - A Clojurian Perspectivelooselytyped
The document discusses functional programming from a Clojurian perspective. It provides an overview of Clojure syntax including lists, vectors, maps, and sets. It also covers Clojure concepts like homoiconicity, where code is represented as data in lists. Functions are first-class citizens in Clojure and functions can be defined, consumed, and are used throughout the language to process data.
Fantom - Programming Language for JVM, CLR, and JavascriptKamil Toman
Fantom is an object-oriented and functional programming language that runs on the JVM, CLR and JavaScript engines. It features type inference, literals, functions, closures, mixins, and support for Java and JavaScript interoperability. Fantom has a built-in modular system and declarative build tools. It aims to balance static and dynamic typing with safety features like null safety and immutable/constant types and data structures.
C++11 Idioms @ Silicon Valley Code Camp 2012 Sumant Tambe
C++11 feels like a new language. Compared to its previous standards, C++11 packs more language features and libraries designed to make C++ programs easier to understand and faster. As the community is building up experience with the new features, new stylistic ways of using them are emerging. These styles (a.k.a. idioms) give the new language its unique flavor. This talk will present emerging idioms of using rvalue references -- a marquee feature of C++11 as many renowned experts call it. You will see how C++11 opens new possibilities to design class interfaces. Finally, you will learn some advanced use-cases of rvalue references which will likely make you feel something amiss in this flagship feature of C++11.
This document contains tips and explanations about various Ruby on Rails concepts and methods, including:
1) Object::try, which allows calling methods on an object that may be nil without raising an error.
2) Object::presence, which returns the object itself unless it is nil or an empty object, in which case it returns nil.
3) Object::send, which allows calling methods by name as a string, including private methods.
4) Other methods like freeze, inject, tap, and ways to extend Ruby classes are also explained briefly.
The document discusses functional programming with Immutable.js. It introduces immutability versus mutability, with examples of immutable objects in code like numbers and strings in JavaScript. It discusses how some array methods are immutable while others mutate the array. The document also covers pure functions, structural sharing with persistent data structures, and performance enhancements available with immutable data structures. It provides examples of using Immutable.js to create immutable Maps, Lists, and nested objects and modify them immutably.
Elm is a functional programming language that compiles to JavaScript, providing benefits like no runtime exceptions and interoperability with JavaScript. It uses immutable values and pure functions to avoid side effects and make reasoning about programs easier. The document outlines Elm's core types like strings, numbers, lists, records and functions as well as its type system, type annotations, and The Elm Architecture for building user interfaces.
This document summarizes a presentation on Python programming. It introduces key Python concepts like data types, control structures, functions, classes, file handling and the standard library. It demonstrates these concepts through examples and encourages participants to try solving problems. The presentation also discusses functional programming with list comprehensions, object-oriented programming with classes, and web development frameworks like Django. Finally, it suggests additional Python modules like PIL, Mechanize and Beautiful Soup and provides resources for further learning.
Slideshare hasn't imported my notes, so here's the link to the Google Presentation: https://goo.gl/Gl4Vhm
Haskell is a statically typed, non strict, pure functional programming language. It is often talked and blogged about, but rarely used commercially. This talk starts with a brief overview of the language, then explains how Haskell is evaluated and how it deals with non-determinism and side effects using only pure functions. The suitability of Haskell for real world data science is then discussed, along with some examples of its users, a small Haskell-powered visualization, and an overview of useful packages for data science. Finally, Accelerate is introduced, an embedded DSL for array computations on the GPU, and an ongoing attempt to use it as the basis for a deep learning package.
Fun with Lambdas: C++14 Style (part 1)Sumant Tambe
If virtual functions in C++ imply design patterns, then C++ lambdas imply what? What does it really mean to have lambdas in C++? Frankly, I don't know but I've a hunch: It's BIG.
Just like virtual functions open doors to the OO paradigm, lambdas open doors to a different paradigm--the functional paradigm. This talk is not a praise of functional programming or some elusive lambda-based library. (Although, I'll mention one briefly that tops my list these days.) Instead, the goal is to have fun while working our way through some mind-bending examples of C++14 lambdas. Beware, your brain will hurt! Bring your laptop and code the examples right along because that may be the fastest way to answer the quiz.
The document discusses the Groovy programming language. It provides an overview of Groovy's key features such as dynamic and static typing, meta-programming capabilities, closures, and its integration with Java. It also summarizes how to get started with Groovy and tools in its ecosystem like Gradle and Spock for testing.
"How was it to switch from beautiful Perl to horrible JavaScript", Viktor Tur...Fwdays
The document provides biographical information about Viktor Turskyi, including his professional experience as a non-executive director, founder, senior software engineer, and open source developer with over 20 years of experience in IT. It also lists some of his conference talks and delivered projects. The remaining slides provide examples and explanations of JavaScript and Perl concepts like data types, operators, functions, objects and arrays.
This document discusses input and print functions in Python. It explains that the print function displays information to the user and includes examples of printing different data types. It also explains that the input function accepts information from the user, stores it in a variable, and can include a prompt. Examples are provided of getting both string and numeric input and converting the input to other data types like integers. The document also covers simple formatting options for print like printing on new lines, adding separators, or printing on the same line.
"Немного о функциональном программирование в JavaScript" Алексей КоваленкоFwdays
This document discusses functional programming concepts in JavaScript including imperative vs declarative programming, currying, composition, functors, and the Ramda library. It provides examples of implementing curried functions, function composition, and functors in JavaScript. Functors are discussed in the context of arrays and the Maybe datatype. The Ramda library is presented as an alternative to Underscore/Lodash that follows a more functional programming style with its use of currying and function composition.
This document provides an overview of JavaScript development challenges and how EcmaScript 2015 and TypeScript address these challenges. It discusses the rise of JavaScript, traditional development challenges like lack of structuring capabilities and static types, new features in EcmaScript 2015 like arrow functions and classes, and how TypeScript adds static types and interfaces to provide benefits for large application development. The document contains code examples to demonstrate various JavaScript and TypeScript language features.
Complete Notes on Angular 2 and TypeScriptEPAM Systems
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. It adds optional static typing, classes, and interfaces to JavaScript to help catch errors. TypeScript code is converted to JavaScript code during compilation. Angular 2.0 is written in TypeScript to take advantage of its static typing and other features. TypeScript allows programmers to write object-oriented programs and have them compiled to JavaScript, enabling both server-side and client-side development.
TypeScript is a superset of JavaScript that compiles to JavaScript. It adds optional static typing, classes, interfaces, and other features to JavaScript to help catch errors. TypeScript files use the .ts extension and can be compiled to JavaScript using the TypeScript compiler. Key features of TypeScript include static typing for variables, interfaces for defining object structures, classes and inheritance for object-oriented programming, and modules for code organization.
F# is a new functional programming language created by Microsoft Research that will have a CTP release this summer. It is based on OCaml and allows for functional, object-oriented and imperative programming. Key features include type inference, immutable values like lists and tuples, pattern matching, and support for generics. Functions are basic units that can be composed in various ways for more expressive code. F# also supports object-oriented features like classes while allowing a functional approach.
Скомпилировалось — значит работает. К сожалению это выражение не про typescript. Кажется, что количество рантайм ошибок спровоцированных несоответствием типов должно стать меньше, однако компилятор ts не помогает разработчику писать качественный код, а наоборот поощряет использование грязных хаков. Филипп Сапронов рассказывает, как прекратить войну с компилятором и писать более надёжный код, используя всю мощь системы типов. Доклад будет интересен тем, кому ts кажется простым или наоборот сложным, а также тем, кто хочет научится понимать код тайпингов таких библиотек как lodash.
This document summarizes key features of the Groovy programming language, including dynamic typing, closures, operators, collections, strings, files, metaprogramming, and intercepting method calls. It provides examples of defining variables and functions without types, currying closures, working with strings, lists, maps, files, extending core classes, modifying classes at runtime using metaclasses, and intercepting method invocations.
This document discusses monadic programming (MP) in Clojure. It begins with introductions to monads and monadic programming in Haskell. It then discusses reasons for using MP in Clojure despite it not having static typing or being purely functional. It explains two libraries for MP in Clojure - clojure.algo.monads and funcool/cats - and how they implement monads using macros and protocols. Examples are given of using monads for error handling in a reverse Polish notation calculator and for representing probability distributions.
The document discusses functions as first-class objects in Ruby. It explains that functions can be passed as arguments to other functions, and functions that accept other functions as arguments are known as higher-order functions. This allows patterns of computation to be abstracted and combined. Examples are given of functions like map, filter, and reduce that iterate over collections and accept a block to encapsulate the iteration logic. Closures are also discussed, where a function captures variables from its enclosing scope, allowing those variables to be accessed even after the function is returned.
This document provides an overview and introduction to the Groovy programming language. It discusses Groovy's origins and influences, how to get started with Groovy, key features like dynamic and static typing, closures, meta-programming, and the Groovy ecosystem including tools like Gradle and Spock. Code examples are provided to demonstrate various Groovy concepts in action.
On Functional Programming - A Clojurian Perspectivelooselytyped
The document discusses functional programming from a Clojurian perspective. It provides an overview of Clojure syntax including lists, vectors, maps, and sets. It also covers Clojure concepts like homoiconicity, where code is represented as data in lists. Functions are first-class citizens in Clojure and functions can be defined, consumed, and are used throughout the language to process data.
Fantom - Programming Language for JVM, CLR, and JavascriptKamil Toman
Fantom is an object-oriented and functional programming language that runs on the JVM, CLR and JavaScript engines. It features type inference, literals, functions, closures, mixins, and support for Java and JavaScript interoperability. Fantom has a built-in modular system and declarative build tools. It aims to balance static and dynamic typing with safety features like null safety and immutable/constant types and data structures.
C++11 Idioms @ Silicon Valley Code Camp 2012 Sumant Tambe
C++11 feels like a new language. Compared to its previous standards, C++11 packs more language features and libraries designed to make C++ programs easier to understand and faster. As the community is building up experience with the new features, new stylistic ways of using them are emerging. These styles (a.k.a. idioms) give the new language its unique flavor. This talk will present emerging idioms of using rvalue references -- a marquee feature of C++11 as many renowned experts call it. You will see how C++11 opens new possibilities to design class interfaces. Finally, you will learn some advanced use-cases of rvalue references which will likely make you feel something amiss in this flagship feature of C++11.
This document contains tips and explanations about various Ruby on Rails concepts and methods, including:
1) Object::try, which allows calling methods on an object that may be nil without raising an error.
2) Object::presence, which returns the object itself unless it is nil or an empty object, in which case it returns nil.
3) Object::send, which allows calling methods by name as a string, including private methods.
4) Other methods like freeze, inject, tap, and ways to extend Ruby classes are also explained briefly.
The document discusses functional programming with Immutable.js. It introduces immutability versus mutability, with examples of immutable objects in code like numbers and strings in JavaScript. It discusses how some array methods are immutable while others mutate the array. The document also covers pure functions, structural sharing with persistent data structures, and performance enhancements available with immutable data structures. It provides examples of using Immutable.js to create immutable Maps, Lists, and nested objects and modify them immutably.
Elm is a functional programming language that compiles to JavaScript, providing benefits like no runtime exceptions and interoperability with JavaScript. It uses immutable values and pure functions to avoid side effects and make reasoning about programs easier. The document outlines Elm's core types like strings, numbers, lists, records and functions as well as its type system, type annotations, and The Elm Architecture for building user interfaces.
This document summarizes a presentation on Python programming. It introduces key Python concepts like data types, control structures, functions, classes, file handling and the standard library. It demonstrates these concepts through examples and encourages participants to try solving problems. The presentation also discusses functional programming with list comprehensions, object-oriented programming with classes, and web development frameworks like Django. Finally, it suggests additional Python modules like PIL, Mechanize and Beautiful Soup and provides resources for further learning.
Slideshare hasn't imported my notes, so here's the link to the Google Presentation: https://goo.gl/Gl4Vhm
Haskell is a statically typed, non strict, pure functional programming language. It is often talked and blogged about, but rarely used commercially. This talk starts with a brief overview of the language, then explains how Haskell is evaluated and how it deals with non-determinism and side effects using only pure functions. The suitability of Haskell for real world data science is then discussed, along with some examples of its users, a small Haskell-powered visualization, and an overview of useful packages for data science. Finally, Accelerate is introduced, an embedded DSL for array computations on the GPU, and an ongoing attempt to use it as the basis for a deep learning package.
Fun with Lambdas: C++14 Style (part 1)Sumant Tambe
If virtual functions in C++ imply design patterns, then C++ lambdas imply what? What does it really mean to have lambdas in C++? Frankly, I don't know but I've a hunch: It's BIG.
Just like virtual functions open doors to the OO paradigm, lambdas open doors to a different paradigm--the functional paradigm. This talk is not a praise of functional programming or some elusive lambda-based library. (Although, I'll mention one briefly that tops my list these days.) Instead, the goal is to have fun while working our way through some mind-bending examples of C++14 lambdas. Beware, your brain will hurt! Bring your laptop and code the examples right along because that may be the fastest way to answer the quiz.
The document discusses the Groovy programming language. It provides an overview of Groovy's key features such as dynamic and static typing, meta-programming capabilities, closures, and its integration with Java. It also summarizes how to get started with Groovy and tools in its ecosystem like Gradle and Spock for testing.
"How was it to switch from beautiful Perl to horrible JavaScript", Viktor Tur...Fwdays
The document provides biographical information about Viktor Turskyi, including his professional experience as a non-executive director, founder, senior software engineer, and open source developer with over 20 years of experience in IT. It also lists some of his conference talks and delivered projects. The remaining slides provide examples and explanations of JavaScript and Perl concepts like data types, operators, functions, objects and arrays.
This document discusses input and print functions in Python. It explains that the print function displays information to the user and includes examples of printing different data types. It also explains that the input function accepts information from the user, stores it in a variable, and can include a prompt. Examples are provided of getting both string and numeric input and converting the input to other data types like integers. The document also covers simple formatting options for print like printing on new lines, adding separators, or printing on the same line.
"Немного о функциональном программирование в JavaScript" Алексей КоваленкоFwdays
This document discusses functional programming concepts in JavaScript including imperative vs declarative programming, currying, composition, functors, and the Ramda library. It provides examples of implementing curried functions, function composition, and functors in JavaScript. Functors are discussed in the context of arrays and the Maybe datatype. The Ramda library is presented as an alternative to Underscore/Lodash that follows a more functional programming style with its use of currying and function composition.
This document provides an overview of JavaScript development challenges and how EcmaScript 2015 and TypeScript address these challenges. It discusses the rise of JavaScript, traditional development challenges like lack of structuring capabilities and static types, new features in EcmaScript 2015 like arrow functions and classes, and how TypeScript adds static types and interfaces to provide benefits for large application development. The document contains code examples to demonstrate various JavaScript and TypeScript language features.
Complete Notes on Angular 2 and TypeScriptEPAM Systems
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. It adds optional static typing, classes, and interfaces to JavaScript to help catch errors. TypeScript code is converted to JavaScript code during compilation. Angular 2.0 is written in TypeScript to take advantage of its static typing and other features. TypeScript allows programmers to write object-oriented programs and have them compiled to JavaScript, enabling both server-side and client-side development.
TypeScript is a superset of JavaScript that compiles to JavaScript. It adds optional static typing, classes, interfaces, and other features to JavaScript to help catch errors. TypeScript files use the .ts extension and can be compiled to JavaScript using the TypeScript compiler. Key features of TypeScript include static typing for variables, interfaces for defining object structures, classes and inheritance for object-oriented programming, and modules for code organization.
TypeScript provides basic types like Boolean, Number, String, Array, Enum, Any, and Void to define the type of a variable. It allows defining interfaces to describe the shape of an object and ensure variables match the expected structure. Classes can be created that implement interfaces, support inheritance, and use public/private modifiers. Accessors can be used to control read/write access to class properties. Static properties exist on the class level rather than instance level. Classes can also be defined using constructor functions for additional flexibility.
This document provides an overview of basic TypeScript types including Boolean, Number, String, Array, Enum, Any, Void, and interfaces. It discusses TypeScript's structural subtyping approach to type checking interfaces based on their shape. The document also covers classes in TypeScript including inheritance, private/public modifiers, accessors, static properties, and how TypeScript code compiles to JavaScript.
This document provides an introduction and overview of TypeScript. It begins by discussing some of the benefits and drawbacks of JavaScript, and why TypeScript was created. It then covers TypeScript's design goals, popular frameworks built with it, and IDE support. The rest of the document outlines TypeScript's configuration, basic language features like types, interfaces, classes and generics. It also discusses code organization techniques like modules and namespaces. Finally, it provides a brief introduction to TypeScript's type system.
The document discusses TypeScript modules. It begins by showing how to organize validators into a single file module. It then demonstrates splitting the module across multiple files by creating LettersOnlyValidator.ts and ZipCodeValidator.ts files that both reference a Validation.ts file and export classes that implement the module's interface. This allows validators to be modularized while splitting code across separate files.
TypeScript is a typed superset of JavaScript that adds optional static types, classes, and interfaces to support type checking and OOP programming in JavaScript; it compiles to plain JavaScript for browser compatibility and allows developers to gradually introduce static typing into JavaScript projects for type safety. TypeScript supports features like classes, interfaces, and generics to build robust applications, and its compiler checks for errors in large codebases before runtime to catch bugs earlier in development.
TypeScript (TS) adds types and tooling to JavaScript (JS) to improve code quality and catch errors earlier. It is a superset of JS that compiles to plain JS. Key features include type annotations, classes, interfaces, generics and tooling like Visual Studio Code with IntelliSense. While TS adds complexity, it improves code organization, documentation and catches errors at compile time rather than runtime. The type system has limits but TS is a useful alternative to other languages for large JS projects.
TypeScript is a super set of JavaScript. This slide covers the key features of TypeScript including basics of typescript, basic types, Interfaces, Functions, Classes, Generics, Modules.
Typescript fundamentals document summarized in 3 sentences:
The document discusses Typescript fundamentals including types, classes, interfaces, modules and how to use the Typescript compiler. It explains how Typescript adds type safety and compile time checking to JavaScript by using types for variables, parameters, returns and more. Examples are provided for many Typescript features and how they compile down to equivalent JavaScript.
This document introduces TypeScript, a superset of JavaScript created by Microsoft. It discusses problems with vanilla JavaScript like dynamic typing, scope issues, difficult object inheritance and multiple files. TypeScript addresses these by adding optional static typing, block scope, class-based inheritance and ability to reference code across files. The document demonstrates TypeScript code, shows converting an existing project to TypeScript, and provides references for further information.
Lors de cette présentation, nous apprendrons à créer des applications Web plus rapidement et avec moins d'erreurs en utilisant un langage de programmation puissant et amusant.
Agenda
- Installer TypeScript et configurer un nouveau projet.
- Tirer avantage des types de données.
- Développer en Objets avec TypeScript
- Ecrire de meilleures fonctions
- Retrouver vos données avec LINQ
- Programmer de manière asynchrone
- Bonnes pratiques
- Avantages et inconvénients des projets TypeScript
- Conclusion et Discussion
Переваги і недоліки мови TypeScript. Для чого вона потрібна, де і як її застосовувати? Чи завжди виправданий перехід з JavaScript на TypeScript? Ми поговоримо про збірку і дебаг проектів, у яких використовується TypeScript, best practices і таке інше.
Переваги та недоліки мови TypeScript. Для чого вона потрібна, де і як її застосовувати? Чи завжди виправданий перехід з JavaScript на TypeScript? Ми поговоримо про збірку і дебаг проектів, у яких використовується TypeScript, best practices і таке інше.
TypeScript is a typed superset of JavaScript that adds optional static types, classes, and interfaces to the language. It transpires to plain JavaScript and can be used to write any JavaScript program. Some benefits of TypeScript include defensive programming through static types, easier unit testing due to its object-oriented features, and improved tooling like autocomplete in supported IDEs. While it has a learning curve and requires an extra compilation step, TypeScript allows code to work across all environments like modern and older browsers.
TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. It adds static typing and structuring mechanisms like classes, interfaces, and modules to JavaScript to help catch errors and provide better documentation for large scale JavaScript application development. Some key features of TypeScript include optional static types for functions and variables, classes with inheritance and static methods, interfaces, modules, generics, and type inference.
Build Smarter, Deliver Faster with Choreo - An AI Native Internal Developer P...WSO2
Enterprises must deliver intelligent, cloud native applications quickly—without compromising governance or scalability. This session explores how an internal developer platform increases productivity via AI for code and accelerates AI-native app delivery via code for AI. Learn practical techniques for embedding AI in the software lifecycle, automating governance with AI agents, and applying a cell-based architecture for modularity and scalability. Real-world examples and proven patterns will illustrate how to simplify delivery, enhance developer productivity, and drive measurable outcomes.
Learn more: https://wso2.com/choreo
Who will create the languages of the future?Jordi Cabot
Will future languages be created by language engineers?
Can you "vibe" a DSL?
In this talk, we will explore the changing landscape of language engineering and discuss how Artificial Intelligence and low-code/no-code techniques can play a role in this future by helping in the definition, use, execution, and testing of new languages. Even empowering non-tech users to create their own language infrastructure. Maybe without them even realizing.
Integration Ignited Redefining Event-Driven Architecture at Wix - EventCentricNatan Silnitsky
At Wix, we revolutionized our platform by making integration events the backbone of our 4,000-microservice ecosystem. By abandoning traditional domain events for standardized Protobuf events through Kafka, we created a universal language powering our entire architecture.
We'll share how our "single-aggregate services" approach—where every CUD operation triggers semantic events—transformed scalability and extensibility, driving efficient event choreography, data lake ingestion, and search indexing.
We'll address our challenges: balancing consistency with modularity, managing event overhead, and solving consumer lag issues. Learn how event-based data prefetches dramatically improved performance while preserving the decoupling that makes our platform infinitely extensible.
Key Takeaways:
- How integration events enabled unprecedented scale and extensibility
- Practical strategies for event-based data prefetching that supercharge performance
- Solutions to common event-driven architecture challenges
- When to break conventional architectural rules for specific contexts
Plooma is a writing platform to plan, write, and shape books your wayPlooma
Plooma is your all in one writing companion, designed to support authors at every twist and turn of the book creation journey. Whether you're sketching out your story's blueprint, breathing life into characters, or crafting chapters, Plooma provides a seamless space to organize all your ideas and materials without the overwhelm. Its intuitive interface makes building rich narratives and immersive worlds feel effortless.
Packed with powerful story and character organization tools, Plooma lets you track character development and manage world building details with ease. When it’s time to write, the distraction-free mode offers a clean, minimal environment to help you dive deep and write consistently. Plus, built-in editing tools catch grammar slips and style quirks in real-time, polishing your story so you don’t have to juggle multiple apps.
What really sets Plooma apart is its smart AI assistant - analyzing chapters for continuity, helping you generate character portraits, and flagging inconsistencies to keep your story tight and cohesive. This clever support saves you time and builds confidence, especially during those complex, detail packed projects.
Getting started is simple: outline your story’s structure and key characters with Plooma’s user-friendly planning tools, then write your chapters in the focused editor, using analytics to shape your words. Throughout your journey, Plooma’s AI offers helpful feedback and suggestions, guiding you toward a polished, well-crafted book ready to share with the world.
With Plooma by your side, you get a powerful toolkit that simplifies the creative process, boosts your productivity, and elevates your writing - making the path from idea to finished book smoother, more fun, and totally doable.
Get Started here: https://www.plooma.ink/
14 Years of Developing nCine - An Open Source 2D Game FrameworkAngelo Theodorou
A 14-year journey developing nCine, an open-source 2D game framework.
This talk covers its origins, the challenges of staying motivated over the long term, and the hurdles of open-sourcing a personal project while working in the game industry.
Along the way, it’s packed with juicy technical pills to whet the appetite of the most curious developers.
Insurance policy management software transforms complex, manual insurance operations into streamlined, efficient digital workflows, enhancing productivity, accuracy, customer service, and profitability for insurers. Visit https://www.damcogroup.com/insurance/policy-management-software for more details!
Agentic Techniques in Retrieval-Augmented Generation with Azure AI SearchMaxim Salnikov
Discover how Agentic Retrieval in Azure AI Search takes Retrieval-Augmented Generation (RAG) to the next level by intelligently breaking down complex queries, leveraging full conversation history, and executing parallel searches through a new LLM-powered query planner. This session introduces a cutting-edge approach that delivers significantly more accurate, relevant, and grounded answers—unlocking new capabilities for building smarter, more responsive generative AI applications.
Traditional Retrieval-Augmented Generation (RAG) pipelines work well for simple queries—but when users ask complex, multi-part questions or refer to previous conversation history, they often fall short. That’s where Agentic Retrieval comes in: a game-changing advancement in Azure AI Search that brings LLM-powered reasoning directly into the retrieval layer.
This session unveils how agentic techniques elevate your RAG-based applications by introducing intelligent query planning, subquery decomposition, parallel execution, and result merging—all orchestrated by a new Knowledge Agent. You’ll learn how this approach significantly boosts relevance, groundedness, and answer quality, especially for sophisticated enterprise use cases.
Key takeaways:
- Understand the evolution from keyword and vector search to agentic query orchestration
- See how full conversation context improves retrieval accuracy
- Explore measurable improvements in answer relevance and completeness (up to 40% gains!)
- Get hands-on guidance on integrating Agentic Retrieval with Azure AI Foundry and SDKs
- Discover how to build scalable, AI-first applications powered by this new paradigm
Whether you're building intelligent copilots, enterprise Q&A bots, or AI-driven search solutions, this session will equip you with the tools and patterns to push beyond traditional RAG.
Join the Denver Marketo User Group, Captello and Integrate as we dive into the best practices, tools, and strategies for maintaining robust, high-performing databases. From managing vendors and automating orchestrations to enriching data for better insights, this session will unpack the key elements that keep your data ecosystem running smoothly—and smartly.
We will hear from Steve Armenti, Twelfth, and Aaron Karpaty, Captello, and Frannie Danzinger, Integrate.
Async-ronizing Success at Wix - Patterns for Seamless Microservices - Devoxx ...Natan Silnitsky
In a world where speed, resilience, and fault tolerance define success, Wix leverages Kafka to power asynchronous programming across 4,000 microservices. This talk explores four key patterns that boost developer velocity while solving common challenges with scalable, efficient, and reliable solutions:
1. Integration Events: Shift from synchronous calls to pre-fetching to reduce query latency and improve user experience.
2. Task Queue: Offload non-critical tasks like notifications to streamline request flows.
3. Task Scheduler: Enable precise, fault-tolerant delayed or recurring workflows with robust scheduling.
4. Iterator for Long-running Jobs: Process extensive workloads via chunked execution, optimizing scalability and resilience.
For each pattern, we’ll discuss benefits, challenges, and how we mitigate drawbacks to create practical solutions
This session offers actionable insights for developers and architects tackling distributed systems, helping refine microservices and adopting Kafka-driven async excellence.
Invited Talk at RAISE 2025: Requirements engineering for AI-powered SoftwarE Workshop co-located with ICSE, the IEEE/ACM International Conference on Software Engineering.
Abstract: Foundation Models (FMs) have shown remarkable capabilities in various natural language tasks. However, their ability to accurately capture stakeholder requirements remains a significant challenge for using FMs for software development. This paper introduces a novel approach that leverages an FM-powered multi-agent system called AlignMind to address this issue. By having a cognitive architecture that enhances FMs with Theory-of-Mind capabilities, our approach considers the mental states and perspectives of software makers. This allows our solution to iteratively clarify the beliefs, desires, and intentions of stakeholders, translating these into a set of refined requirements and a corresponding actionable natural language workflow in the often-overlooked requirements refinement phase of software engineering, which is crucial after initial elicitation. Through a multifaceted evaluation covering 150 diverse use cases, we demonstrate that our approach can accurately capture the intents and requirements of stakeholders, articulating them as both specifications and a step-by-step plan of action. Our findings suggest that the potential for significant improvements in the software development process justifies these investments. Our work lays the groundwork for future innovation in building intent-first development environments, where software makers can seamlessly collaborate with AIs to create software that truly meets their needs.
The Future of Open Source Reporting Best Alternatives to Jaspersoft.pdfVarsha Nayak
In recent years, organizations have increasingly sought robust open source alternative to Jasper Reports as the landscape of open-source reporting tools rapidly evolves. While Jaspersoft has been a longstanding choice for generating complex business intelligence and analytics reports, factors such as licensing changes and growing demands for flexibility have prompted many businesses to explore other options. Among the most notable alternatives to Jaspersoft, Helical Insight stands out for its powerful open-source architecture, intuitive analytics, and dynamic dashboard capabilities. Designed to be both flexible and budget-friendly, Helical Insight empowers users with advanced features—such as in-memory reporting, extensive data source integration, and customizable visualizations—making it an ideal solution for organizations seeking a modern, scalable reporting platform. This article explores the future of open-source reporting and highlights why Helical Insight and other emerging tools are redefining the standards for business intelligence solutions.
Revolutionize Your Insurance Workflow with Claims Management SoftwareInsurance Tech Services
Claims management software enhances efficiency, accuracy, and satisfaction by automating processes, reducing errors, and speeding up transparent claims handling—building trust and cutting costs. Explore More - https://www.damcogroup.com/insurance/claims-management-software
How Insurance Policy Administration Streamlines Policy Lifecycle for Agile Op...Insurance Tech Services
A modern Policy Administration System streamlines workflows and integrates with core systems to boost speed, accuracy, and customer satisfaction across the policy lifecycle. Visit https://www.damcogroup.com/insurance/policy-administration-systems for more details!
A brief introduction to OpenTelemetry, with a practical example of auto-instrumenting a Java web application with the Grafana stack (Loki, Grafana, Tempo, and Mimir).
In today's world, artificial intelligence (AI) is transforming the way we learn.
This talk will explore how we can use AI tools to enhance our learning experiences, by looking at some (recent) research that has been done on the matter.
But as we embrace these new technologies, we must also ask ourselves:
Are we becoming less capable of thinking for ourselves?
Do these tools make us smarter, or do they risk dulling our critical thinking skills?
This talk will encourage us to think critically about the role of AI in our education. Together, we will discover how to use AI to support our learning journey while still developing our ability to think critically.
Code and No-Code Journeys: The Coverage OverlookApplitools
Explore practical ways to expand visual and functional UI coverage without deep coding or heavy maintenance in this session. Session recording and more info at applitools.com
4. It is not typesafe
var a = 3
var b = 5
a++
c = a + b
a = "hello"
5. Can easily become complex
Ever tried writing Object Oriented Javascript?
var __extends = this.__extends || function (d, b) {
for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p];
function __() { this.constructor = d; }
__.prototype = b.prototype;
d.prototype = new __();
};
var Snake = (function (_super) {
__extends(Snake, _super);
function Snake() {
_super.call(this, "snake");
}
Snake.prototype.crawl = function () {
this.move();
console.log(this.name + ' is crawling');
};
return Snake;
})(Animal);
6. Hard to keep track of context
Context hell
var myObject = {
AddChildRowEvents: function(row, p2) {
if(document.attachEvent) {
row.attachEvent('onclick',function(){
this.DoSomething();});
} else {
row.addEventListener('click',function(){
this.DoSomething();}, false);
}},
DoSomething: function() { this.SomethingElse();} }
7. Long feedback cycle
● Errors come only at runtime
● And not even that in some cases
● Difficult to debug the minified js files
20. Basic Types
Boolean
var isDone: boolean = false;
Number
var height: number = 6;
String
var name: string = "bob";
Array
var list:number[] = [1, 2, 3];
var list:Array<number> = [1, 2, 3];
21. Basic Types Continued
Enum
enum Color {Red = 1, Green = 2, Blue = 4};var c: Color =
Color.Green;
var colorName: string = Color[2];
Any
var list:any[] = [1, true, "free"];
list[1] = 100;
Void
function warnUser(): void {
alert("This method does not return anything");
}
22. Interfaces
Interfaces are treated as contract
interface Shape {
color: string;
}
function DrawShape(shapeToDraw: Shape) {
alert(shapeToDraw.color);
}
Typescript uses Duck-Typing
function DrawShape(shapeToDraw: {color:string}) {
alert(shapeToDraw.color);
}
23. Interfaces continued
Interfaces can be also created for functions
interface ErrorCallback {
(message: string): boolean;
}
function GetData(url:string,error: ErrorCallback){
if(!tryGetData(url)){
error(‘Could not get data’);
}
}
GetData(‘http://foo.bar’,function(message:string){
alert(message);
});
24. Classes
class Greeter {
greeting: string;
constructor(message: string) {
this.greeting = message;
}
greet() {
return "Hello, " + this.greeting;
}
}
var greeter = new Greeter("world");
greeter.greet();
32. I have existing js libraries
Very easy to migrate
Type Definition files (.d.ts)
declare class Bird{
public fly():void;
constructor();
}
Treasure of definitions @ DefinitelyTyped.org