Javascript as universal language

Apr 28, 20140 likes755 views

This document discusses the benefits of using JavaScript as a universal language. It can be used everywhere due to its huge reach and ability to run on any browser or device. The document then discusses various JavaScript tooling options available in Visual Studio 2013 like WebEssentials, TypeScript, and Node.js tools. It also demonstrates how JavaScript can be used on the server side with Node.js and Azure Mobile Services. Finally, it mentions using JavaScript to build Windows 8, Windows Phone, and universal apps.

Javascript
as universal language
Ronald Harmsen
@ronaldharmsen

Ronald Harmsen
@ronaldharmsen
ronaldharmsen.net

Why use Javascript?
•Huge reach
•Same language everywhere
It’s script!!

Javascript tooling with VS2013
• Visual Studio 2013
• WebEssentials
• TypeScript
• Integrating Javascript unittests: Chutzpah
• WinJS
• Azure SDK for NodeJS
• NTVS (Node tools for Visual Studio, beta!)
• SideWaffle

Web Essentials
http://vswebessentials.com
Add extension with nightly builds
•http://vswebessentials.com/nightly/2013
Javascript Tooling

Web Essentials
• CSS
• LESS
• SASS
• JavaScript
• CoffeeScript
• TypeScript
• Custom editors
• Robots.txt
• .appcache
• Markdown
• Browser link
Toolkit for most used web development
tasks

Node.js
•Runs Javascript on Google’s V8 engine
•It’s fast:
• Non-blocking, event-driven I/O
• Single threaded
•Npm
• Express
• Connect
Serverside JavaScript

Running Javascript on the server
•IISNODE
•Azure websites
•Azure webrole (AzureNodeWebRole)
•Azure worker role (AzureNodeWorkerRole)
•Azure Mobile Services

Azure Mobile Services
•Runs NodeJS
•ORM to Azure SQL DB
•Custom API’s
•Scheduled tasks
•Source control via GIT
• Advanced scenarios

Azure Mobile Services
• Default modules:
• azure
• Azure SDK for Node.js
• sendgrid
• SendGrid api for sending mail (Azure Add-on)
• And default Node.JS packages:
• crypto
• path
• querystring
• request
• url
• util
• zlib

Windows 8.1 & Phone 8
•Win 8.1 / Phone 8 / Universal App with JavaScript
•WinJS
• http://try.buildwinjs.com/
•Web App Template
• http://wat.codeplex.com
•PhoneGap
• Use inside Phone 8 mobile JS project
Apps with JavaScript

Building larger apps with Javascript
•Automated testing
• Javascript Frameworks like QUnit, Jasmine or Mocha
• Chutzpah http://chutzpah.codeplex.com
•ECMAScript 6 (Harmony)
• Types, Classes, Interface, Modules, Lambda expressions
• Start using Typescript

Other options
•Web App Template http://wat.codeplex.com
•Project Siena : http://aka.ms/ProjectSiena
•AppStudio: http://appstudio.windowsphone.com

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Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.

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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.

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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. We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure. The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.

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.

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