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Infoq

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Apple Completes Migration of Key Ecosystem Service to Swift, Gains 40% Performance Uplift

Apple migrated its Password Monitoring service from Java to Swift, achieving a 40% performance boost and reducing memory usage significantly, freeing up 50% Kubernetes capacity.
The rewrite allowed the service to handle billions of requests per day, improving responsiveness and maintainability.
Swift enabled smaller, more expressive codebases with an 85% reduction in lines of code, prioritizing safety and efficiency.
The service checks user credentials for data breaches without disclosing private info to Apple, using privacy-preserving protocols.
Swift's deterministic memory management reduced latency spikes caused by garbage collection pauses, ensuring consistent low-latency responses at scale.
Apple reported sub-millisecond 99.9th percentile latencies and reduced memory usage with Swift instances consuming hundreds of megabytes.
Swift's faster startup times and better scalability supported Apple's global autoscaling requirements.
The migration from Java to Swift aligns with a broader trend of using performance-oriented languages for extreme-scale services.
Companies like Meta, Netflix, and AWS are also adopting languages like Rust and Go for better performance and efficiency.
There is a shift towards performance-oriented languages for services operating at extreme scales, although Java and similar languages are still prevalent.
The trend indicates that for high-performance requirements, some are moving away from general-purpose runtimes.

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Logrocket

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How to use AI tools for your customer discovery

Using large language models (LLMs) can help improve and accelerate product discovery work by automating interview analysis and uncovering patterns in qualitative feedback.
Understanding the limitations of LLMs in terms of product discovery includes lack of genuine understanding of emotions, limited real-time learning, and correlation-based reasoning.
LLMs lack the ability to interpret emotional cues, adapt in real-time, and provide causal understanding in product discovery.
They struggle in coming up with truly innovative ideas and are biased towards existing data, limiting their capacity for 'blue ocean' thinking.
AI can be used for testing questions, scraping user quotes, and recruiting participants, but human connection remains crucial for detailed insights.
Outsourcing key discovery tasks to AI may limit learning opportunities and the depth of understanding gained.
Ultimately, AI can enhance product discovery efforts but cannot fully replace human understanding and creativity in customer interactions.
AI tools can help speed up processes like outreach and data scraping, but human involvement is essential for meaningful insights in customer discovery.
Using AI as a backup or support to human effort can amplify strengths in product discovery, but important tasks like understanding emotions and genuine insights require human involvement.
AI tools provide speed and scale in processing information but may fall short in emotional understanding, innovation, and uncovering novel needs.
In conclusion, AI can be a valuable tool in product discovery when used in conjunction with human expertise rather than as a complete replacement.

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PlanetPython

130

Robin Wilson: More links �� June 2025

Robin Wilson shares a post in June 2025 with various interesting links and tools.
Links include an explanation of why COUNT(*) can be slow in Postgres, a handy tool for bulk-renaming files called f2, and a Tree Species Map for England.
He mentions the alpha version of Leaflet v2.0, the cqlalchemy library for writing Common Query Language queries, and the stac-fastapi-geoparquet backend for storing STAC catalogs in GeoParquet.
Other links include stac-auth-proxy for running a private, secured STAC server, a Python tool for simplifying street networks, and Promptfoo for evaluating AI model responses.
Additional links cover adding notes to exceptions in Python, enabling auto-complete in pgAdmin, and a detailed article on designing items for 3D printing.
Simon's llm tool can now run tools using the 'tool usage' pattern with local tools defined easily as Python functions.

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Medium

260

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Sher Episode 8 | Teaser | Digitally Presented by Diamond Paints & Surf Excel | Danish Taimoor |…

Sher is a Pakistani drama filled with raw emotions, intense rivalries, and deep-rooted traditions.
Sarah Khan stars as Fajar, a gentle heart caught in a family feud, navigating love amidst old grudges.
The drama showcases kidnappings, secret alliances, broken promises, and forbidden love, leaving viewers craving more.
The cast includes Danish Taimoor, Sarah Khan, Sunita Marshall, Nadia Afgan, Yousuf Bashir Qureshi, Faizan Shaikh, Atiqa Odho, and more.
Written by Zanjabeel Asim and directed by Aehsun Talish, Sher airs on ARY Digital on Wednesdays and Thursdays at 8:00 PM.
Don't miss this emotional rollercoaster exploring themes of love, loyalty, and legacy.
ARY Digital offers a platform for top-tier entertainment, including quality dramas, Original Sound Tracks, telefilms, and more in HD.

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Dev

334

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🔥 Angular Pro Tips: Creating a Custom Pipe for Human-Readable Numbers (K, M, B Format)

Creating a custom Angular pipe can convert large numbers into a more readable format like 1.5K or 2.5M.
Custom pipes in Angular help keep templates clean, promote reusability, and separate formatting logic.
To generate the custom pipe, the command 'ng generate pipe numberSuffix' is used in the Angular project.
The logic for the custom pipe involves determining the number's tier (thousands, millions, billions) and attaching the appropriate suffix.
Usage of .toFixed(2) and regex ensures clean output without unnecessary decimals.
Examples of using the custom pipe in the template are provided for numbers like 950, 1500, 2000000, and 7250000000.
Optional enhancements for the pipe include custom decimal places, support for trillions, handling negative numbers or currency strings.
The custom pipe offers a clean, reusable, and declarative solution for improving data-heavy UI readability.
The next Angular Pro Tips post will involve building a smart loader using HTTP interceptors for consistent loading indicators.
Follow for more Angular and AI programming insights and engage by dropping questions or suggestions in the comments.

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Dev

134

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How to test code in Swift using actor

Unit testing in iOS can involve tracking state changes using XCTest expectations.
Swift Testing introduces the confirmation function for handling async flows, but it can be verbose.
An alternative approach involves using actors in Swift for tracking state changes more efficiently.
Actors, by default, execute tasks on a shared global concurrency thread pool, making it useful for waiting for state changes.
The use of actors simplifies tracking state changes and expectations in code.
Example implementation of an actor to track URL changes inside a ViewModel is provided.
Actors help in making tests cleaner, easier to read, and align with Swift's modern concurrency model.

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Alvinashcraft

352

Dew Drop – June 12, 2025 (#4438)

Multimodal Voice Intelligence with .NET MAUI by David Ortinau.
Transforming Microservices Development with .NET Aspire by sogue.
Smarter Angular: AI at the Edge of the Framework by Alyssa Nicoll.
Making a header parameter required in ASP.NET Core by Bart Wullems.
Creating The “Moving Highlight” Navigation Bar With JavaScript And CSS by Blake Lundquist.
How to implement observability with Node.js and Llama Stack by Michael Dawson.
GenAI for Beginners: What is the Temperature parameter in a model by Dhananjay Kumar.
GitOps vs. DevOps: Key Differences Explained by James Walker.
Smoother app reviews with Play Policy Insights beta in Android Studio by Naheed Vora.
Stop Writing Git Commits: How AI-Powered GitKraken CLI Accelerates Your Development by Frank Boucher.

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Dev

284

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WWDC 2025 Exposed: 7 Announcements That Will Change Your App Forever

WWDC 2025 by Apple focused heavily on developers, introducing significant changes across various platforms.
A new design aesthetic called “Liquid Glass” was implemented, offering a modern look but facing some criticism for potential accessibility issues.
Key app updates included a keyboard redesign, changes in the Photos app, Safari improvements, and a new Xcode tool for icons.
The event highlighted the benefits for cross-platform frameworks like React Native and Flutter, with React Native leveraging Apple's updates more effectively.
Announcements regarding containerization and open-source gains were made, including the integration of Docker-in-Swift and FoundationDB.
Game Porting Toolkit 3 and enhancements in WebGPU support for Safari users were discussed, aiming to streamline game ports and improve gaming experiences.
Xcode AI tools were introduced, but faced glitches in beta, and Apple's AI strategy, particularly around Siri and on-device models, received mixed reviews.
A significant announcement was the end of the Intel-to-Silicon transition, with Rosetta 2 retiring by 2028 and developers urged to focus on Apple Silicon.
Overall, WWDC 2025 showcased advancements but also highlighted areas where Apple may need further improvement, such as in AI and cross-platform support.

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Medium

From Disheveled to Dependable: My Painful but Powerful Journey into Data Science Professionalism

The article narrates a personal journey from facing infrastructural challenges in Nigeria to becoming a dependable data science professional.
Challenges included dealing with power cuts, unstable internet, and lack of a dedicated workspace, leading to unprofessional appearances during meetings.
The author invested in a stable WiFi network and home office, emphasizing the importance of setup for professionalism.
Learning collaboration tools like Slack and communication skills was initially a culture shock, but the author adapted through observation and practice.
Emphasis was placed on understanding that coding proficiency comes through repetition and practical application, learning to code like a craftsman.
The cost of isolation and communication breakdowns highlighted the importance of overcommunication and sharing progress incrementally with the team.
Self-management in a high-performance culture was crucial, requiring documenting workflows and seeking help effectively when facing challenges.
Transitioning from a data analyst to a software-oriented thinker involved training in software engineering and understanding real systems and tools beyond data models.
Professionalism was described as more than just performance metrics, focusing on project structure, business objectives alignment, and constructive feedback acceptance.
The article concludes with insights on competence, stability, communication, coding proficiency, and the value of feedback in the journey towards becoming a reliable data science professional.

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Medium

409

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JavaScript in 2025: Ditch the Old, Embrace the New

JavaScript has evolved significantly since ES6 in 2015, and it's time to move away from old habits.
ECMAScript 2025 introduces revolutionary proposals:
1. Pattern Matching offers a sophisticated way to handle complex conditional logic and destructure data effectively.
2. Deferred Module Evaluation with defer import syntax improves page load performance for larger applications.
3. Records and Tuples bring immutable object-like and array-like data structures, enhancing state management and functional programming.
4. Pipeline Operator (|>) simplifies functional chaining for cleaner code.
5. Async Context Propagation eases maintaining context across async operations in async/await.
JavaScript in 2025 is more developer-friendly with these enhancements, offering cleaner and more efficient code.
Tools like ServBay make managing modern Node.js environments and web development stacks easier for macOS users.
It streamlines the setup and management, allowing developers to concentrate on coding.
Developers are encouraged to embrace new JavaScript features for better code quality and productivity.

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Dev

230

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How Big Data and AI Work Together: The Future of Intelligent Systems

Big Data and Artificial Intelligence (AI) are transformative technologies that, when used together, form the foundation of intelligent systems.
This powerful combination is reshaping industries, enhancing efficiencies, and unlocking new possibilities across various sectors.
Big Data involves vast volumes of structured and unstructured data, while AI encompasses algorithms that mimic human intelligence by learning from patterns and making decisions.
AI systems rely on Big Data for learning, as the massive and diverse datasets fuel AI development and training.
Machine learning, a subset of AI, benefits from Big Data by improving models' ability to recognize patterns and make accurate predictions.
Conversely, AI enhances Big Data by enabling faster, real-time data analysis, anomaly detection, and automated decision-making processes.
The synergy between Big Data and AI is powerful in predictive analytics, enabling forecasting in various fields like retail, logistics, and manufacturing.
Cloud computing and edge computing play significant roles in integrating Big Data and AI by providing the necessary infrastructure for efficient processing and storage.
However, combining Big Data and AI raises challenges related to data privacy, algorithmic bias, and ethical considerations that require regulatory frameworks and responsible practices.
The future of intelligent systems lies in the continued convergence of Big Data and AI, leading to smarter applications across sectors like smart cities, agriculture, climate modeling, and education.
Understanding how Big Data and AI work together is crucial for the future of technology, driving innovation and creating a more connected, intelligent, and data-driven world.

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Dev

149

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📘 Frontend Developer Structure: The Complete Learning Map

The complete learning map for mastering frontend development covers various aspects from understanding the web to deploying interactive apps.
Key areas include understanding the web structure, learning HTML and CSS fundamentals, grasping JavaScript essentials like DOM manipulation and asynchronous JS, exploring frameworks like React and utility-first styling like Tailwind CSS.
The map also delves into developer tools, workflow processes, testing methodologies, practice projects, top learning platforms, and offers a progress tracker for continuous improvement.

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Dev

343

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Authoring an OpenRewrite recipe

OpenRewrite is an open-source tool for automating code refactorings, enabling developers to tackle technical debt efficiently.
It includes an auto-refactoring engine that runs predefined refactoring recipes for framework migrations, security fixes, and style consistency tasks.
The tool's community is continuously expanding its language and framework coverage.
OpenRewrite features two main components: recipes and the engine that executes them.
Authors can create new refactoring recipes to customize code transformations.
A specific scenario discussed involves restructuring Kotlin package directories following official recommendations.
OpenRewrite offers benefits like testability, scalability, and composability over traditional tools like sysadmin or IDEs.
The article delves into the implementation details of crafting a new recipe in OpenRewrite for flattening Kotlin package structures.
Testing recipes in OpenRewrite is facilitated by parsers and an in-memory execution context.
Potential future work includes JSON serializability of recipes and automatic root package detection.
Overall, the article demonstrates the simplicity and effectiveness of authoring OpenRewrite recipes for codebase migrations.

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Softwareengineeringdaily

369

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TanStack and the Future of Frontend with Tanner Linsley

TanStack is an open-source collection of high-performance libraries for JavaScript and TypeScript applications, focusing on state management, data fetching, and table utilities.
TanStack includes libraries like TanStack Query, TanStack Table, and TanStack Router, known for their declarative APIs and optimized performance.
Tanner Linsley, the creator of TanStack, discusses the project, SSG, type safety, and the TanStack Start full-stack React framework on a podcast with Nick Nisi.
Nick Nisi, a conference organizer and developer, joins the podcast to talk about tools across the web ecosystem and his role as a developer experience engineer at WorkOS.
TanStack emphasizes developer-friendly features and is gaining popularity in modern frontend development.
Tanner Linsley and Nick Nisi delve into various topics related to TanStack and frontend development in the podcast episode.
To access the full transcript of the episode, click on the provided link.
Sponsorship inquiries for the podcast can be directed to [email protected].
The post covers TanStack and its impact on frontend development, featuring insights from Tanner Linsley and Nick Nisi.

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Dev

286

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How to Authenticate Your React App Using Firebase

Authentication is crucial for web and mobile apps to securely manage user access and data.
Firebase from Google offers easy authentication integrations for different apps.
The article guides users on authenticating apps with Firebase using various methods.
Firebase supports email/password authentication, social logins, phone number, and anonymous authentication.
Setting up Firebase project involves creating it in the Firebase Console and adding a web app.
Installation of Firebase in projects is necessary for utilizing its authentication features.
Initializing Firebase in projects includes adding a Firebase SDK snippet in the configuration file.
Firebase allows setting up authentication methods like email/password auth and enabling them in the console.
Creating sign-up and sign-in functions using Firebase's createUserWithEmailAndPassword and signInWithEmailAndPassword.
The article demonstrates setting up Google authentication by enabling it in Firebase and creating the necessary functions.

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