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Medium

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Inside the Mechanics of JavaScript Symbol Properties

  • JavaScript introduced the Symbol type to create hidden property keys.
  • Symbols do not show up when objects are looped over or printed out.
  • To create a Symbol, the Symbol() function is used.
  • Symbols are unique with the same description strings yielding different values.
  • Symbols behave as object keys by being matched by identity.
  • Symbol properties are stored separately and do not mix with string keys.
  • Symbol keys are treated differently in property lookups and iterations.
  • Symbols are flagged as non-enumerable and skipped in common lookup methods.
  • Symbol properties can be accessed using Object.getOwnPropertySymbols().
  • Symbols are ideal for hiding data within objects and maintaining privacy.

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Mjtsai

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Microsoft Layoffs

  • Microsoft announces laying off 3% of its employees, affecting about 6,000 people.
  • The layoffs are part of a larger strategy to restructure and streamline the company by removing layers of management.
  • One of the laid-off employees was a former senior software development engineer who contributed to the development of TypeScript at Microsoft.
  • The layoffs have sparked discussions about Microsoft's decision-making, with some expressing concerns about the long-term technical strategy.

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Mjtsai

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SQLite Databases in App Group Containers (Don’t)

  • Developers facing issues with SQLite databases in App Group Containers, leading to app crashes due to file locks or SQLite database locks during suspension.
  • Apple suggests requesting additional background execution time before writing to files to avoid holding locks during suspension.
  • Recommendations include not keeping SQLite database in the shared container, using alternate communication methods with extensions, and avoiding excessive SQLite queries in a single background task.
  • To manage SQLite database access across multiple processes, it is recommended to store them in an App Group Container and handle suspension notifications appropriately to prevent lock issues.

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Microsoft

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Evaluating content safety in your .NET AI applications

  • The Microsoft.Extensions.AI.Evaluation.Safety package has been added to the Microsoft.Extensions.AI.Evaluation libraries for detecting harmful content in AI-generated applications.
  • The safety evaluators, powered by Azure AI Foundry Evaluation service, can be seamlessly integrated into existing workflows.
  • Steps to set up Azure AI Foundry for safety evaluations include creating an Azure subscription, resource group, AI hub, and project.
  • A C# example shows how to configure and run safety evaluators to check AI responses for various criteria.
  • Running unit tests and generating reports can be done using Visual Studio, Visual Studio Code, or the .NET CLI.
  • The API usage samples cover scenarios like evaluating content safety of AI responses with images and running safety and quality evaluators together.
  • Updates to Microsoft.Extensions.AI.Evaluation libraries include enhanced quality evaluators and improved reporting functionality.
  • New reporting features allow searching and filtering scenarios using tags, viewing rich metadata for metrics, and tracking historical trends.
  • Developers are encouraged to explore the content safety evaluators and provide feedback for further enhancements.
  • The aim is to elevate the quality and safety of AI applications using these tools.
  • The post emphasizes continuous improvement and invites engagement for better utilization of the libraries.

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Logrocket

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Profit center vs. cost center: How company structure affects engineering

  • Understanding the differences between profit and cost centers in engineering teams is crucial for developers, as each operates with distinct mentalities and structures.
  • In profit centers, like engineering teams supporting revenue-generating products, investment is seen as beneficial for innovation and revenue growth.
  • Profit centers own specific product scopes, with squads led by engineering managers and clear ownership structures to drive continuous improvement.
  • However, drawbacks of profit centers include potential team silos and the need for engineers to work on cross-functional projects for career advancement.
  • On the other hand, in cost center models, engineers are viewed as resources for projects that support the company's main revenue-generating departments.
  • Projects in cost centers may follow a more waterfall methodology, with developers moving to different projects once their current assignment is complete.
  • Pros of cost centers include working on diverse projects, slower pace for better work-life balance, modern tech stacks, and greater job security due to risk aversion.
  • However, the downsides of cost centers include lower pay, less exciting work, lack of ownership sense, and a slower process for addressing technical debt.
  • Choosing between profit and cost centers depends on individual preferences, with stability being a key factor that influences career choices.
  • Understanding how engineering teams are positioned within an organization can help developers, whether early in their career or with long-term goals, make informed career decisions.

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Pymnts

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Microsoft to Retire Bing Search APIs, Promote Azure AI Agents

  • Microsoft will retire Bing Search APIs on Aug. 11, as announced on Monday.
  • Customers are advised to consider using Grounding with Bing Search as an alternative, integrated with Azure AI Agents.
  • Grounding with Bing Search allows Azure AI Agents to incorporate real-time public web data in responses, focusing on chatbots.
  • The shift to AI-powered system is to meet market demand; Microsoft offers support for affected customers.

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Medium

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Integrate Sign-In with Apple via Firebase in a Compose Multiplatform project

  • Integrating Sign-In with Apple in a Compose Multiplatform project using Firebase wrapper made for KMP: GitLive.
  • Implemented Google Sign-In for Android and iOS, but faced challenges with Apple Sign-In without SwiftUI.
  • Utilized Clean Architecture principles, creating interfaces and wrappers for different social media providers like Apple.
  • Incorporated native Swift code into Kotlin Multiplatform project using spm4Kmp plugin for deep integration with iOS frameworks.

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Dev

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A Professional Looking API

  • The OpenAPI spec is crucial for defining how consumers interact with an API and can enhance developer experience.
  • Version 1 and Version 2 of an endpoint are visualized to demonstrate improvements in documentation and client integration.
  • API versioning using URL-based approach and Swagger enhances clarity and long-term maintainability.
  • Refactored endpoints with task-based actions like SetShippingInfo result in cleaner docs, easier client integration, and a more professional API impression.

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Dev

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One-Click Deployment of n8n on Clawcloud Run: Build Enterprise-Grade Automation Workflows with Zero Code

  • n8n and Clawcloud Run offer an efficient solution for workflow automation with unique features and advantages.
  • Clawcloud Run provides zero-cost entry, high-performance configuration, and simplified operations for deploying applications.
  • n8n offers open-source control, flexible extensibility, and a hybrid execution model for diverse automation needs.
  • By following a step-by-step deployment process, users can set up n8n on Clawcloud Run and optimize it for advanced functionalities like domain binding, security hardening, and third-party service integrations.

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Dev

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LocalLLMClient: A Swift Package for Local LLMs Using llama.cpp and MLX

  • LocalLLMClient is a Swift package that enables the use of local Large Language Models (LLMs) on Apple platforms.
  • It supports models like MobileVLM-3B (llama.cpp) and Qwen2.5 VL 3B (MLX) for iOS and macOS.
  • Features of LocalLLMClient include GGUF / MLX model support, iOS and macOS compatibility, streaming API, and experimental multimodal support.
  • The library leverages llama.cpp and Apple MLX backends with a unified interface, allowing interactions with LLMs.
  • Basic usage involves importing the necessary components, downloading models from Hugging Face, and generating text using specified parameters.
  • Text generation examples demonstrate creating stories with a cat protagonist and generating song lyrics from image inputs.
  • Additional features in LocalLLMClientUtility like FileDownloader offer functionalities for managing model downloads efficiently.
  • The project emphasizes on-device processing for privacy and cost-effectiveness, thanking the community for supporting local LLM development.
  • Overall, LocalLLMClient aims to provide a convenient option for Swift developers wanting to experiment with AI on Apple platforms.
  • Supporting the project through contributions or stars on GitHub is encouraged.

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Dev

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How to Loop Multiple WAV Stems with AudioKit in Swift?

  • Playing multiple audio tracks simultaneously in your Swift app using AudioKit's AudioPlayer can create immersive audio experiences.
  • AudioKit's AudioPlayer class is powerful for playback but might have issues with looping WAV stems due to initialization, timing conflicts, or start and stop calls.
  • To loop WAV stems with AudioKit, you need to ensure correct initialization of audio players, start them properly, manage playback states, and check AudioKit setup.
  • Additionally, you can apply audio effects to players, troubleshoot stopping after the first loop, and consider performance implications of multiple players.

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Dev

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Spring Boot Integration Testing

  • Spring Boot Integration Testing focuses on testing real applications in a cohesive manner using Spring's tools.
  • While JUnit and Mockito are great for isolated testing, Spring's integration testing framework tests the whole application.
  • Spring MockMvc allows testing controllers without server deployment, simulating the full Spring MVC lifecycle.
  • @WebMvcTest is for testing the web layer, focusing on MVC components and configuring MockMvc.
  • @SpringBootTest creates a full application context for testing interaction between all beans and providing a realistic environment.
  • @Import allows supplementing test slice with additional beans, while @ContextConfiguration gives explicit control over context setup.
  • Common issues in integration testing include package structure for main configuration and deprecated MockBean usage.
  • Mocking all repositories used by the Service class can prevent UnsatisfiedDependencyException during context initialization.
  • Integration tests example includes testing a JobController that interacts with a JobService calling a Mongo Repo.
  • Integration tests cover scenarios like successful job retrieval, empty results, missing query parameters, and service exceptions.

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Javacodegeeks

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HATEOAS + Spring Security: Why Some Links Are Missing for Certain Roles

  • HATEOAS (Hypermedia As The Engine Of Application State) combined with Spring Security allows for dynamically shaping API responses based on user roles.
  • Spring HATEOAS enriches REST API responses with navigable links while Spring Security provides authentication and authorization.
  • Common reasons for missing HATEOAS links include manual role-based filtering, missing or incorrect role checks, and static link definitions.
  • A better approach involves role-aware link building using Spring HATEOAS and Spring Security together, ensuring links adapt based on user roles.

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Dev

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Grok 3 API - Reasoning Tokens are Counted Differently

  • OpenAI includes reasoning tokens in usage.completion_tokens
  • xAI doesn't include reasoning tokens in usage.completion_tokens
  • To get the total tokens with OpenAI or Deepseek R1, use the completion_tokens field. With xAI, sum the two values to get correct totals.
  • Grok API provides a compatible OpenAI endpoint but xAI deviates from OpenAI's reasoning tokens accounting approach.

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Dev

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React Native 0.79+ New Architecture: Bridging with Android Native Modules

  • React Native allows developers to interact with platform-specific code using Native Modules for accessing native Android features.
  • The blog post details creating a native module in Android and bridging it with React Native, including calling native methods and sending data between React Native and Android.
  • Steps provided involve defining interface in Kotlin class, registering the native module with React Native using a package, and calling native methods from React Native in the app.
  • By following these steps, developers can effectively bridge JavaScript with the native Android layer to integrate SDKs or platform-specific features not readily available in React Native.

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