Featured Issues

Mobile development blogs, tutorials and resources inside!Latest Mobile Dev Insights: iOS, Android, Cross-PlatformAdvertise with Us|Sign Up to the NewsletterMobilePro #180: Android & ChromeOS to merge, What's new in Flutter and more...Hi ,Welcome to the 180th edition of MobilePro! This week’s edition covers Apple and Android’s latest OS changes, powerful AI tool releases, groundbreaking platform mergers, and sharp insights from the dev community.:🔁 Android & ChromeOS to Merge: Google confirms it’s combining Android and ChromeOS into one unified platform, rolling out from late 2025.🛠️ Flutter 3.3.6 Hotfix Released: A critical update restores proper WebView sizing in apps affected by the 3.3.0 layout bug.📱 iOS 18.6 Beta 3 Released: Apple rolls out iOS 18.6 beta 3 and more with performance boosts, bug fixes, and EU compliance ahead of iOS 26.🐢 AI Tools May Slow You Down: New research suggests AI coding tools can actually hinder experienced developers—here’s why.🧠 Use Gemini in Xcode 26 Beta: Carlo Zottmann shows how to run Google Gemini in Xcode 26 beta via a clever proxy setup on macOS.Stick around for this week’sDeveloper Tipto learn the advantages of hybrid development, andtheDid You Know?section to learn about Google skipping a monthly Android security patch.Let’s dive in!P.S.: If you have any suggestions or feedback, or would like us to feature your project on a particular subject, please write to us. Just respond to this email!Help us improve by sharing your thoughts. Click on the survey below.Take the Survey!An Exclusive Look Into Next Gen BI – Live WebinarDashboards alone aren’t cutting it. The market’s moving toward something new: data apps, live collaboration, and AI that works the way teams actually work.See what's driving the rise of Next Gen BI, how Sigma earned a top debut on the Gartner Magic Quadrant, and what’s next for our roadmap.Secure your spot📱 What's Happening in Mobile Development?If there’s any major news in the world of mobile app dev in the last week, MobilePro has you covered.iOS 18.6 beta 3 is out: Apple has released iOS 18.6 beta 3 (alongside iPadOS 18.6, macOS Sequoia 15.6, watchOS 11.6, tvOS 18.6, and visionOS 2.6) today, focusing on performance refinements, bug fixes, and EU regulatory support ahead of the larger iOS 26 rollout this fall.Flutter 3.3.6 is out: The Flutter 3.3.6 release is a hotfix that resolves a layout sizing issue introduced in version 3.3.0. This issue affected the use of WebView through platform_views, causing incorrect sizing during layout. The update specifically addresses and restores the proper sizing behavior when embedding WebView in Flutter applications.Jetpack Compose accessibility guidance expanded: Compose's accessibility guidance now emphasizes robust built‑in support—like default semantic properties, correct touch targets, and automatic focus management—while also teaching developers how to refine or customize accessibility through semantics modifiers (e.g., merging, hiding, testing APIs) to make inclusive and screen‑reader friendly UIs.Google confirms ChromeOS and Android are being merged into ‘a single platform’: Google has officially confirmed it’s merging ChromeOS and Android into a single unified platform, with Android at its core—aiming to streamline experiences across phones, tablets, laptops, and XR devices, boost AI integration, and simplify development. This shift is expected to roll out starting late 2025, with initial devices arriving in 2026—and promises more cohesive compatibility and features, albeit raising questions about hardware requirements and legacy Chromebook support.Google announces new Android Canary channel to replace Developer Previews: Google has introduced a new Android Canary release channel on July 10, 2025, replacing the old Developer Preview program to offer developers continuous, early access to experimental Android builds (via OTA or emulator)—though it's unstable and meant solely for testing.GitHub Copilot coding agent now uses one premium request per session: GitHub announced on July 10, 2025 that the Copilot coding agent now uses a flat one premium request per session, regardless of how many files it modifies or tasks it performs—making billing far more predictable and efficient. This change helps developers delegate up to 20× more work within their monthly allowance, with only GitHub Actions run time varying by task complexity.Gemini CLI brings Gemini directly into developer’s terminals: Google has released Gemini CLI, an open-source command‑line AI agent (in preview) that brings the power of Gemini2.5Pro right into developers’ terminals—supporting coding, debugging, content creation, task automation, and even image/video generation—all for free with a generous quota of 60 model calls/min and 1,000/day. It also integrates with Gemini Code Assist, Google Search, MCP tools, and multimodal systems like Imagen/Veo, enabling fluent, natural‑language workflows across terminal and IDE environments.Arm Scalable Matrix Extension 2 Coming to Android to Accelerate On-Device AI: Arm has announced that its Scalable Matrix Extension 2 (SME2) is coming soon to Android smartphones, enabling up to 6 × faster AI inference (e.g., running Google's Gemma 3 in under a second per core) via integration with libraries like XNNPack and KleidiAI—developers won’t need code changes. This hardware upgrade promises more responsive, efficient on-device AI across future Android devices, potentially unlocking advanced features like real-time translation, summarization, and voice assistants.Thinking about building mobile apps in 2025? Discover the top 7 unbeatable advantages of hybrid development—from faster time-to-market to cost savings and seamless cross-platform reach. Learn why hybrid might be your smartest bet here.In case you have any tips to share with your fellow mobile developers, do reply to this mail and we’d be glad to feature you in a future edition of MobilePro.💭 What is the Mobile Community Talking About?What are mobile app developers discussing? Do you have any concerns, advice, or tutorials to share?MobileProbrings them to you all in one place.How to use Google Gemini in Xcode 26 beta: Want to learn how to use Google Gemini with Xcode 26 beta on macOS 26 beta? Carlo Zottmann walks you through a clever proxy setup to make Gemini work seamlessly with Xcode’s AI features.Name-based destructuring in Kotlin: Kotlin is evolving! The language team is introducing name-based destructuring, letting you unpack objects using property names instead of just positions. It’s a big step toward clearer, safer destructuring—especially for data/value classes. Check out the full proposal and share your thoughts.Android Adaptive Design (Part 1): Make any Compose Screen Responsive in 4 Steps: Check out this practical guide to responsive design in Jetpack Compose—four clear steps to make any screen layout adapt gracefully across devices, from phones to tablets and beyond.AI programming tools slow software developers down: Think AI tools make coding faster? Think again—new research shows they might actually slow down experienced developers despite the hype. Find out why in this surprising study and what it means for your workflow.Using FFI in a Flutter plugin: Get a taste of Flutter magic direct from the Flutter team’s post—discover what the feature is and why it’s a must-read.📚️ Latest in Mobile Development from PacktMobilePro presents the latest titles from Packt that ought to be useful for mobile developers.A perfect book for digital designers, developers, UX professionals, product managers, and business leaders committed to inclusive design.🧠 Understand inclusive design principles to create digital experiences accessible to all users🤖 Explore cutting-edge AI and emerging tech applications in accessibility and inclusive design🏛️ Learn practical strategies for building an inclusive design culture within organizationsInclusive Design for AccessibilityBuy now at $34.99!July 2025 marks the first time in over a decade that Google skipped a monthly Android security patch, breaking a long-standing tradition since 2015. While no official reason was given, experts speculate it may be due to a shift in patch cadence or internal transitions.Sourced from Securityweek Network.👋 And that’s a wrap. We hope you enjoyed this edition of MobilePro. If you have any suggestions and feedback, or would just like to say hi to us, please write to us. Just respond to this email!Cheers,Runcil Rebello,Editor-in-Chief, MobilePro*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0}#converted-body .list_block ol,#converted-body .list_block ul,.body [class~=x_list_block] ol,.body [class~=x_list_block] ul,u+.body .list_block ol,u+.body .list_block ul{padding-left:20px} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

NVIDIA’s Audio Flamingo 3, GoogleSQL’s new pipe syntax, MetaStone-S1, Fractional ReasoningAn Exclusive Look into Next Gen BI – Live WebinarDashboards alone aren’t cutting it. The market’s moving toward something new: data apps, live collaboration, and AI that works the way teams actually work.See what's driving the rise of Next Gen BI, how Sigma earned a top debut on the Gartner Magic Quadrant, and what’s next for our roadmap.Secure Your SpotSponsoredSubscribe|Submit a tip|Advertise with usWelcome to DataPro 142: Tools Driving Tomorrow’s Thinking 🔬📈In this edition, we spotlight the breakthrough tools, patterns, and practices that are reshaping research and production in AI and data science.From NVIDIA’s Audio Flamingo 3 pushing the frontier of multimodal reasoning, to Fractional Reasoning’s elegant solution to adaptive LLM compute, and MetaStone-S1’s bold performance claims, this week’s releases are not just incremental; they’re foundational. Meanwhile, Kiro is redefining the dev experience, merging agentic coding with production-readiness from day one.On the systems front, Amazon EKS now scales to 100K nodes, opening the door to AGI-class workloads. And GoogleSQL’s new pipe syntax is winning hearts in the SQL community for its clarity and composability. If you’ve ever loathed nested subqueries, this is your moment.For those making decisions about tooling, don’t miss our link on Foundation vs. Custom Models, a smart, grounded guide for teams navigating performance vs. control. Also featured: Amazon SageMaker’s new unified catalog, practical AutoML with AutoKeras/Keras Tuner, and a no-fuss walkthrough of deploying Streamlit apps to AWS.Lastly, we dive into deeper reflections: Strands Agents 1.0 brings multi-agent orchestration into the real world, and standout articles explore paradox pitfalls in metrics, and how data’s 40-year evolution is shaping AI’s next wave.Let’s get into it. ⬇️Cheers,Merlyn ShelleyGrowth Lead, PacktTop Tools Driving New Research 🔧📊🔵 nvidia/audio-flamingo-3 · Audio Flamingo 3 (AF3) is an open Large Audio-Language Model (LALM) by NVIDIA for research use, capable of reasoning across speech, sound, and music. It supports long audio inputs, multi-turn voice dialogue, and chain-of-thought reasoning, achieving state-of-the-art results on 20+ tasks through unified audio representation and extensive dataset training.🔵 Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute: Fractional Reasoning introduces a model-agnostic, training-free method to dynamically adjust LLM reasoning depth at inference. By scaling latent steering vectors, it tailors compute per input complexity, boosting accuracy and efficiency. Compatible with Best-of-N, majority vote, and self-reflection, it outperforms fixed prompts across GSM8K, MATH500, and GPQA benchmarks.🔵 MetaStone-AI/MetaStone-S1: MetaStone-S1 is a 32B-parameter reflective generative model that rivals OpenAI-o3-mini on math, code, and Chinese reasoning. It combines Long-CoT Reinforcement and Process Reward Learning for efficient, high-quality inference. MetaStone-S1 achieves deep reasoning while reducing policy model costs by 99%, enabling fast, accurate outputs across multiple benchmarks.🔵 Introducing Kiro: Kiro is an agentic IDE that turns AI prototypes into production-grade apps using spec-driven development. It auto-generates requirements, design docs, and implementation tasks, and uses hooks for event-based automation. With built-in test coverage, design clarity, and consistency checks, Kiro helps developers ship reliable software faster and with greater confidence.Topics Catching Fire in Data Circles 🔥💬🔵 Do You Really Need a Foundation Model? Not every use case needs a foundation model. This guide compares foundation and custom models across performance, cost, latency, and control. It offers a decision framework, practical examples, and hybrid strategies to help teams choose the right approach, balancing rapid prototyping with long-term scalability, privacy needs, and task-specific optimization.🔵 Automating Deep Learning: A Gentle Introduction to AutoKeras and Keras Tuner. This guide introduces AutoKeras and Keras Tuner, two AutoML tools that simplify deep learning. AutoKeras automates architecture and training, while Keras Tuner optimizes hyperparameters of custom models. Together, they streamline experimentation, reduce guesswork, and boost performance, ideal for tasks like image classification, tabular modeling, or rapid prototyping with minimal manual tuning.🔵 Amazon EKS enables ultra scale AI/ML workloads with support for 100K nodes per cluster: Amazon EKS now supports up to 100,000 nodes per cluster, enabling ultra-scale AI/ML workloads with 1.6M Trainium or 800K GPU instances. This breakthrough powers large model training, reduces operational costs, and preserves Kubernetes compatibility, paving the way for AGI-scale innovation through enhanced orchestration, resiliency, and open-source flexibility.🔵 Exploring pipe syntax real-world use cases: GoogleSQL's pipe syntax reimagines SQL with a linear, readable data flow using the |> operator. It simplifies complex queries, streamlines data pipelines, and improves log analysis clarity. By eliminating nested structures and enabling intuitive chaining, pipe syntax boosts productivity, maintainability, and accelerates insight generation across BigQuery and Cloud Logging workflows.New Case Studies from the Tech Titans 🚀💡🔵 How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes. This article unpacks how paradoxes like Simpson’s, the Accuracy Paradox, and Goodhart’s Law mislead both data science and LLM evaluation. It shows how surface-level metrics can distort truth, urging practitioners to embrace contextual, nuanced measurement, especially in BI and Retrieval-Augmented Generation, where incentives, imbalance, and aggregation errors can derail decision-making.🔵 What Can the History of Data Tell Us About the Future of AI? This sweeping 40-year history of data explores how shifts in storage, architecture, and business models have shaped intelligent systems. By tracing personal, public, and enterprise data, from PCs to cloud to AI, the piece reveals how incentives, infrastructure, and data ownership will determine the trajectory of AI’s future.🔵 Streamline the path from data to insights with new Amazon SageMaker Catalog capabilities: Amazon SageMaker now streamlines analytics with new integrations: QuickSight for in-studio dashboarding, S3 Access Grants for secure unstructured data sharing, and automatic onboarding of Glue Data Catalog datasets. These updates unify structured and unstructured data, accelerating workflows from raw data to insights, governed, discoverable, and ready for ML and BI use.Blog Pulse: What’s Moving Minds 🧠✨🔵 Deploy a Streamlit App to AWS: This hands-on guide walks you through deploying a Streamlit app on AWS using Elastic Beanstalk. It covers preparing your code, switching from Postgres to S3 for data, configuring AWS infrastructure, and managing deployment steps. Ideal for developers needing scalable, secure alternatives to public cloud endpoints like Streamlit Community Cloud.🔵 Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need. This guide challenges accuracy as a primary evaluation metric, urging data scientists to adopt deeper, problem-specific tools. It explores advanced classification metrics like ROC-AUC, log loss, and Brier score, and regression metrics like R², RMSLE, and quantile loss, emphasizing calibration, uncertainty, and decision-readiness over surface-level model performance.🔵 Introducing Strands Agents 1.0: Production-Ready Multi-Agent Orchestration Made Simple: Strands Agents 1.0 is a production-ready SDK for building multi-agent AI systems. It introduces primitives like Agents-as-Tools, Swarms, Graphs, and A2A support for inter-agent communication. With session persistence, async performance, and flexible model integration, Strands simplifies orchestration, scaling from prototype to production for complex, collaborative, and distributed agentic workflows.See you next time!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}