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Free eBook: Debugging Apache Airflow® DAGsFree eBook: Fix your Airflow DAG errors fasterEven the most advanced Airflow users encounter DAG errors and task failures. That’s why we wrote Debugging Apache Airflow® DAGs. It’s a guide written by practitioners, for practitioners covering everything you need to know to solve issues with your DAGs:✅ Identifying issues during development✅ Using tools that make debugging more efficient✅ Conducting root cause analysis for complex pipelines in productionGET YOUR FREE GUIDE NOWSponsoredSubscribe|Submit a tip|Advertise with UsWelcome to DataPro 149- yourgo-to newsletter for all things Data and AI.This edition is packed with breakthroughs, experiments, and tutorials that show how fast the AI + data stack is evolving. From SQL-native memory engines to federated AI registries, adaptive defenses in federated learning, and even a 1950s algorithm powering computer vision, the highlights are designed to spark both curiosity and practical takeaways.Here’swhatyou’lldiscover 👇🔹MCP Registry Preview: DNS for AI Context-Meet the federated system for discovering AI servers, designed to scale like the internet itself.🔹Is Your Training Data Representative? PSI & Cramér’s V in Python- Learn how to measure representativeness, automate comparisons, and catch dataset drift before it breaks your models.🔹Fighting Back Against Attacks in Federated Learning-See how poisoning attacks work, why existing defenses fall short, and how adaptive strategies like EE-Trimmed Mean change the game.🔹Top 7 MCP Servers for Vibe Coding- From Git integration to browser automation and memory layers, these servers unlock context-rich collaboration between developers and AI agents.🔹NVIDIA’s Universal Deep Research (UDR)-A prototype framework that separates research strategy from the LLM itself, making deep research scalable, auditable, and customizable.🔹GibsonAIMemori: SQL-Native Memory for Agents-Forget costly vector DBs: this open-source memory engine makes agent memory transparent, portable, and cheap to run.Each story blendscutting-edgeideas with hands-on value,perfect for anyone building smarter AI systems, securing their pipelines, or just keeping ahead of the curve.So, without further ado, let’s jump in.Cheers,Merlyn ShelleyGrowth Lead, PacktTop Tools Driving New Research 🔧📊🔸MCP Team Launches the Preview Version of the 'MCP Registry': A Federated Discovery Layer for Enterprise AI.This blog unpacks the MCP Registry, a new open-source system designed as “DNS for AI context.” It explains why the federated model beats a single registry, how it secures enterprise AI, and what makes it scalable.You’llalso find details on its architecture, governance, and open-source foundation, plus practical FAQs for getting started with the preview release.🔸Building Advanced MCP (Model Context Protocol) Agents with Multi-Agent Coordination, Context Awareness, and Gemini Integration.Advanced MCP Agents can now be built and run insideJupyterorColabwith practical features like multi-agent coordination, context awareness, and Gemini integration. This tutorial shows how role-based agents such as researchers, analyzers, and executors work together as a swarm,maintainmemory for continuity, and deliver coherent results for complex, real-world AI tasks.🔸Is Your Training Data Representative? A Guide to Checking with PSI in Python:Checkingif your training data trulyrepresentsreality matters at build, deploy, andmonitorstages. This guide shows how to compare samples with PSI and Cramér’s V, from visual checks to robust stats, then automates the workflow in Python and exports an Excel report.You’llsee a worked example on Communities & Crime and clear thresholds for action.🔸Fighting Back Against Attacks in Federated Learning:Federated learning promises privacy-preserving training, but it also opens the door to subtle attacks like data poisoning and model manipulation. In this project, a multi-node simulator built onFEDnexplores how such attacks work, how currentdefenceshold up, and why adaptive strategies like EE-Trimmed Mean are needed. Experiments reveal lessons for making FL more resilient and trustworthy.Topics Catching Fire in Data Circles 🔥💬🔸Top 7 Model Context Protocol (MCP) Servers for Vibe Coding:Model Context Protocol servers areemergingas the backbone of Vibe Coding, where developers and AI agents collaborate in real time. This guide highlights seven standout MCP servers,from Git integration and live database access to browser automation, persistent memory, multi-agent orchestration, and research support,that make coding more adaptive, reproducible, and context-rich for modern development workflows.🔸How to Build a Complete End-to-End NLP Pipeline with Gensim: Topic Modeling, Word Embeddings, Semantic Search, and Advanced Text Analysis.An end-to-end NLP pipeline can be built inGensimthat covers preprocessing, topic modeling, embeddings, similarity search, and advanced analysis. This tutorial shows how to run it all inColab, from Word2Vec training and LDA topic modeling to coherence evaluation, visualization, and document classification. The result is a reusable framework for exploring and interpreting text data at scale.🔸Understanding the BigQuery column metadata (CMETA) index:BigQueryis pushing beyond petabyte-scale warehouses to petabyte-scale tables, where even metadata becomes big data. To keep queries fast and efficient, Google introduced the Column Metadata (CMETA) index, an automated, zero-maintenance system that prunes blocks early, saving time and slots. This blog explains how CMETA works, its impact on performance, and how to maximize its benefits.🔸When A Difference Actually Makes A Difference:A five-point gap on a bar chart can meanvery differentthings depending on variance, sample size, and effect size. In this bite-sized guide, Mena Wang shows business leaders how to look beyond averages, use statistical tests, and weigh effect sizes before acting. The lesson: not every “significant” difference is worth millions in investment.New Case Studies from the Tech Titans 🚀💡🔸NVIDIA AI Releases Universal Deep Research (UDR): A Prototype Framework for Scalable and Auditable Deep Research Agents.NVIDIA’s Universal Deep Research (UDR) is a prototype framework that separates research strategy from the underlying LLM, making deep research flexible, auditable, and scalable. Unlike rigid model-bound tools, UDR lets users design custom workflows, enforce validation rules, and swap models. With templates like Minimal, Expansive, and Intensive, UDR enables transparent, cost-efficient research pipelines for science, enterprise, and startups.🔸GKE Inference Gateway and Quickstart are GA:Google Cloud is expanding its AIHypercomputerstack with new inference capabilities in GKE Inference Gateway, now generally available. Highlights include prefix-aware routing for up to 96% faster TTFT, disaggregated serving for 60% higher throughput, and Anywhere Cache for 4.9x faster model loads. Paired with GKE InferenceQuickstart, teams can benchmark,optimize, and deploy LLM inference stacks in days instead of months.🔸Announcing Dataproc multi-tenant clusters:Google Cloud is introducingDataprocmulti-tenant clusters, giving data science teams a shared notebook environment that balances efficiency with strong isolation. Instead of siloed resources or weak security, admins can map users to service accounts, enforce IAM policies, and scalecomputedynamically. WithJupyterintegration via Vertex AI Workbench or third-party setups, teams get faster collaboration, lower costs, and enterprise-grade control.🔸Exploring Merit Order and Marginal Abatement Cost Curve in Python:This tutorial shows how to use Python to model electricity pricing anddecarbonisation. First, it builds a merit order curve to show how different power plants, ordered by cost, set the market price. Then it introduces a Marginal Abatement Cost Curve to comparedecarbonisationoptions by cost and impact. The code includes interactive charts to explore scenarios easily.Blog Pulse: What’s Moving Minds 🧠✨🔸GibsonAI Releases Memori: An Open-Source SQL-Native Memory Engine for AI Agents.GibsonAIhas releasedMemori, an open-source SQL-native memory engine for AI agents. Instead of relying on costly, opaque vector databases, Memori uses standard SQL (SQLite, PostgreSQL, MySQL) to provide persistent, transparent, and auditable memory. With a single line of code, agents gain context retention across sessions, reducing redundancy, cutting infrastructure costs by up to 90%, and giving users full control over their data.🔸Introducing Conversational Commerce agent on Vertex AI:Google Cloud has launched theConversational Commerce agent, now generally available in Vertex AI, to help retailers meet the shift toward longer, more complex search queries. Powered by Gemini, it enables natural, back-and-forth shopping conversations that guide users from discovery to checkout. Early adopters like Albertsons are seeing customers add more items to their carts, boosting sales through smarter, more intuitive product discovery.🔸Automate app deployment and security analysis with new Gemini CLI extensions:Google just introduced two newGemini CLIextensions that bring security and deployment right into your terminal. With/security:analyze, you can scan code for vulnerabilities locally (and soon in GitHub PRs) with clear, actionable fixes.With/deploy, you can ship apps directly toCloud Runin one simple command.It’sthe start of a broader, extensible Gemini CLI ecosystem.🔸The Hungarian Algorithm and Its Applications in ComputerVision:TheHungarian algorithm, first developed in the 1950s, is a powerful way to solve assignment problems, optimally matching tasks to workers, or objects across video frames. In computer vision, it underpinsmulti-object trackingby minimizing distances between bounding boxes detected in consecutive frames. This ensures consistent object tracking, even in complex scenes with motion, occlusion, or overlapping detections.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}}

Mobile development blogs, tutorials and resources inside!Latest Mobile Dev Insights: iOS, Android, Cross-PlatformAdvertise with Us|Sign Up to the NewsletterMobilePro #189: iOS 26 out Sep 15, Apple Intelligence goes to China, Android Studio, Flutter release & more…Hi ,Welcome to another week of MobilePro; this is edition no. 189. Apple had its annual September launch event yesterday and while most of the revelations surrounded new iPhones (Do you like the iPhone Air? I personally find it too thin. Will it stay intact in one hand?) or Apple Watches. However, there were also interesting tidbits for mobile devs hidden in there. Mainly, iOS 26 is out soon, on Monday, September 15; that’s just 5 days away. My head has been turned enough by the new Liquid Glass update to be excited by it, especially after the slight changes Apple has made to it in further betas. iPadOS 26 and macOS Tahoe will go live the same day as well.That’s not all though. One thing that the new range of iPhones, the iPhone 17 line, will be good at is offering upgraded security to memory safety. Apple says the new phones come with Memory Integrity Enforcement, meant to protect your phone’s memory from spyware, such as the notable Pegasus. We’re never going to say no to enhanced security, so this is nice to know, what with U.S. State Department employees being targeted by such spyware a few years ago.One last thing before we move to other news: Apple was quiet on mentions of AI, compared to the rather boastful tone taken at the same event in 2024. We recently covered how that move resulted in Apple executives falling flat on their faces after they could not deliver those front-facing AI upgrades in time. In fact, Apple continues to be slower on that front, with recent news suggesting that it would look at partnering with Anthropic, OpenAI, or even its biggest competitor, Google, to bring AI to its devices. How long that takes is anyone’s guess! And it seems like the iPhone 17 range will not, hence, be as different from its predecessors on that front.That’s not all the news this week. Let’s dive in.🍏 Apple: Apple set to bring Apple Intelligence to China by end of 2025, partnering with Alibaba to boost iPhone sales.💻 Android Studio: Narwhal Feature Drop 3 adds resizable Compose Preview, smarter Gemini AI, attachments, and Backup & Restore tools.🎨 Android Dev: Google upgrades adaptive UIs, AI-assisted tools, and launches playful Androidify app alongside monthly Narwhal drops.🐦 Flutter: Flutter 3.35.3 ships 7 fixes tackling Android build failures, web debug spam, Impeller crashes, and Xcode warnings.🔧 DevTools: Dart & Flutter DevTools 2.50.0 improves CPU profiling with new CLI flags replacing the “Profile app start up” button.🤖 AI (xAI): xAI unveils Grok Code Fast 1, a 314B-parameter agentic coding model with 256k context and fast tool integration.Stick around for this week’s Developer Tip to learn how to smartly work with GitHub Copilot andtheDid You Know? section to learn about Anthropic’s settlement of a class-action lawsuit.Let’s dive in!Hunt Threats, Recover Fast: Next-Gen Cyber Resilience for Google CloudJoin Hunt Threats, Recover Fast: Next-Gen Cyber Resilience for Google Cloud, a virtual event about going beyond traditional backup.You'll see:- Real-time ransomware detection and automated threat hunting for Google Cloud- Turbo Threat Hunting in action to trace attack paths and accelerate incident response- Streamlined recovery workflows that simplify protecting your Google Cloud workloadsSave 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.AppleApple planning to launch Apple Intelligence in China before end of 2025: Apple is reportedly preparing to launch Apple Intelligence in China by the end of 2025, after delays tied to regulatory approvals and U.S.-China tensions. Partnering with Alibaba, Apple sees the rollout as crucial for boosting iPhone sales in its biggest smartphone market.AndroidCISA Warns of Android 0-Day Use-After-Free Vulnerability Exploited in Attacks: CISA has warned of an actively exploited Android 0-day (CVE-2025-48543), a use-after-free flaw in Android Runtime that enables attackers to gain elevated control over devices. Google has patched it in the September 2025 security update, and users are urged to update immediately.Android Studio Narwhal 3 Feature Drop: Android Studio Narwhal Feature Drop 3 introduces resizable Compose Preview, smarter Gemini AI with project-aware context, image/file attachments, and new Backup & Restore tools—delivered as part of a new monthly release cadence to boost developer productivity.Google improves adaptive UIs and AI tools for Android developers: Google’s latest updates enhance adaptive UIs, AI-assisted tools, and faster iteration for Android developers, with Compose Adaptive Layouts 1.2 beta, the playful AI-powered Androidify app, and monthly Android Studio Narwhal feature drops that boost productivity across devices.Cross-platform and OthersReact Native 1.0 on the horizon: React Native 1.0 is nearing release, with improvements in release cadence, API stability, and safeguards for breaking changes, as announced at React Universe Conf.Flutter 3.35.3 releases: Flutter 3.35.3 delivers 7 fixes, addressing issues like build failures on Android, console spam in web debug mode, Impeller rendering and crash bugs, golden test stalls, and outdated Xcode warnings.Dart and Flutter DevTools 2.50.0: Dart & Flutter DevTools 2.50.0 introduces general improvements, including an update to the CPU profiler that replaces the “Profile app start up” button with new --profile-startup CLI flags.Artificial Intelligence (AI)xAI Releases Grok Code Fast 1, a New Model for Agentic Coding: xAI has released Grok Code Fast 1, a 314B-parameter model optimized for agentic coding workflows, featuring fast tool integration, a 256k context window, and high prompt caching efficiency. It supports multiple languages and prioritizes speed and usability over raw benchmark accuracy, with free access via select partners like GitHub Copilot and Cursor.Google Launches Gemini 2.5 Flash Image with Advanced Editing and Consistency Features: Google has launched Gemini 2.5 Flash Image, a fast, low-latency model for image generation and editing with upgrades like character consistency, multi-image fusion, and precise prompt-based edits. Available via Gemini API and AI Studio, it’s priced at $0.039 per image.Want GitHub Copilot to work smarter for you? Check out 5 Tips for Writing Better Custom Instructions for Copilot on the GitHub blog. It walks you through how clarifying your project context (like tech stack, coding style, guidelines, structure, and resources) helps Copilot deliver more accurate and useful code suggestions.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.Mobile app or responsive web? How to choose the right platform for your business: Brands often face the decision of building a mobile app or a responsive web app, and the right choice depends on goals, users, and budget. Mobile apps are best for frequent engagement, offline use, and deep device integration, while responsive web apps shine for quick launches, lower costs, and SEO visibility.SonarSource reveals distinct “coding personalities” of top LLMs beyond benchmarks: A new SonarSource report analyzes how leading LLMs write code, not just how often they get it right, uncovering distinct archetypes like the verbose but bug-prone “senior architect” and the fast yet debt-heavy “rapid prototyper.”Distribute iOS builds effortlessly with Firebase CLI for App Distribution: You can upload .ipa files and manage tester access using the Firebase CLI’s appdistribution:distribute command, which supports options like release notes, tester groups, and CI-friendly tokens. It also returns direct links for managing releases, such as console URLs, tester install links, and binary download links, to streamline iOS pre-release workflows.📚️ Latest in Mobile Development from PacktMobilePro presents the latest titles from Packt that ought to be useful for mobile developers.A perfect book for UX and UI designers who already have a basic understanding of Figma and want to advance beyond the fundamentals.🏗️Level up into a highly sought-after designer through expert techniques and battle-tested workflows📚Learn faster with a hands-on guide built around practical, recipe-based approach.🤖 Put Al to work in Figma with workflows that speed up content, assets, and cleanup while saving hoursDesign Beyond Limits with FigmaPre-order now at $44.99!AI startup Anthropic has agreed to settle a class-action lawsuit by paying about $1.5 billion—roughly $3,000 per book—to authors whose works were allegedly pirated and used to train its Claude AI model. This landmark settlement, the largest copyright recovery in U.S. history if approved, also requires Anthropic to destroy the improperly obtained datasets.Sourced from npr.👋 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}}