#Project IDX
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Google introduces Project IDX, transforming Android app development by bringing Android Studio to the web. This innovative move allows developers to code, test, and debug directly from their browsers, offering enhanced flexibility and collaboration. Learn about the new features, tools, and benefits that Project IDX brings to the development community, and how it aims to streamline workflows, improve productivity, and foster a more connected developer environment.
#inwizards software technology#Project IDX#future of Android development#Android development#app development#mobile app development#mobile app development service#Google Brings Android Studio to the Web with Project IDX
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The thing I've spent two years of my professional life on is now out of private preview and anyone can go use it. It's a development environment in your browser with preconfigured templates for many different languages/environments, AI assistance, live previews with hot reloading, and a bunch more stuff on the way.
Obviously I'm extremely biased here, but I was really skeptical of a browser-based dev environment until I used the internal one at Google and found it could actually be really good. It'll be a while before this one is as good as that, but that's the plan.
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Okay, the ChalarmJames mystery project will begin to be revealed! There’s a new Instagram account for B-Friend the series and a fitting today.
[butchered google translate of one of the posts but gives you the general idea:]
bfriendseries Get ready for the opening ceremony
New Yuri series "B-Friend The Series" from IDX Entertainment
Starring:
Pai Pai Oreo Chatnapa Kiewkham Faye Faye Thitiyaporn Prasertsom Nam Chuthamas Wangsawat Hana Anphat Chaianantanithi Fa Sa Sarawari Sripilai Shark Siam Piphatcharoenwong James Pongsapat Rachaporn Gulf Thanapong Prapasirisulee OT Patcharada Pimolsiri
Along with artists from IDX Entertainment
Schedule of the opening ceremony
17 JUL
Monday 27 January 2025
Time 09.09 a.m.
At the Grandparents' Court, MBK Center - BTS Skytrain connection, MBK Center shopping mall
#b-friend the series#bfriend series#bfriend the series#b-friend series#chalarmjames#chalarm siam#james pongsapak#chalarm x james#upcoming thai bl
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𝐂𝐇𝐀𝐍𝐘𝐄𝐎𝐋 찬열 𝐓𝐡𝐞 𝟏𝐬𝐭 𝐌𝐢𝐧𝐢 𝐀𝐥𝐛𝐮𝐦 【𝐁𝐥𝐚𝐜𝐤 𝐎𝐮𝐭】 𝐏𝐫𝐞𝐨𝐫𝐝𝐞𝐫 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬:
*Please note the benefits are included only for the Photobook version.
🔹Makestar: 🔗 https://makestar.co/projects/singer_chanyeol_01/story 🔹Musickorea: 🔗 https://musickorea.asia/Mobile/Board/view/board_name/eventnotice/idx/184040 🔹App!emusic: 🔗 https://applemusic.co.kr/m/board.html?code=applemusic_board2&type=v&num1=998312&num2=00000&lock 🔹Withmuu: 🔗 https://withmuu.com/goods/goods_view.php?goodsNo=1000007223 🔹Ktown4u: 🔗 https://ktown4u.com/eventsub?eve_no=40309873&biz_no=220&utm_source=office&utm_medium=240813_banner_preorder&utm_campaign=chanyeol_com_mainbanner_
Chanyeol's fanbases have a discount for Ktown4u http://tinyurl.com/2njw25am
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Comprehensive Guide to Firebase Studio Development
Introduction Firebase Studio is Google’s new agentic cloud-based development environment that helps developers build and ship production-quality full-stack AI apps, including APIs, backends, frontends, mobile applications, and more. It unifies Project IDX with specialized AI agents and assistance from Gemini in Firebase to provide a collaborative workspace accessible from anywhere. Launched in…
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Firebase Studio
🔥 TLDR: Firebase Studio 🚀 👨💻 Firebase Studio is Google’s latest AI-powered cloud dev environment, evolving from Project IDX. It’s not just an IDE—it’s a full-stack platform where AI acts as a teammate 🤖. 🧠 Built around Gemini AI, it helps generate prototypes from natural language 🗣️, automate testing 🧪, migrate code 📦, and explain or document projects like a pro 📚. ⚙️ Uses Nix for environment…
#ai#Artificial Intelligence#Firebase#Firebase Studio#Google Gemini#Google Gemini Deep Research#Vibecoding
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Firebase Studio: Unlock Agentic Development With Gemini AI

Introducing Firebase Studio
Firebase runs over 70 billion apps everyday on embedded systems, agentic experiences, mobile devices, and web browsers, helping millions of developers engage their customers. Full-stack development is changing quickly, and generative AI has revolutionised how apps are built and what they can do.
Developers are under pressure to keep up with emerging technologies that need human assembly, increasing complexity. Meanwhile, firms of all sizes are seeking ways to accelerate AI app development, build high-quality software, and deploy faster.
Google Cloud Next launches new capabilities that convert Firebase into an end-to-end platform that speeds up the application lifecycle. The new Gemini-powered Firebase Studio is a cloud-based, agentic development environment with all the tools developers need to quickly build and deploy production-quality AI apps. In preview, anyone may access it. New Firebase platform upgrades allow developers to launch cutting-edge, data-driven apps on Google Cloud. These announcements will allow developers to construct multi-platform AI software.
In the recent year, it launched Genkit, Firebase's Gemini, and Project IDX, a Code OSS clone, to simplify AI app development. Firebase Studio takes a major step forward by merging all of these elements with Firebase services and Gemini's creative potential to create a natively agentic experience.
Start with the App Prototyping agent or one of over 60 pre-made app designs. It helps you create your app's user interface, API schema, and AI operations using natural language, pictures, drawing tools, and screenshots. Refine your prototype and launch it to Firebase App Hosting when ready.
Review use and behaviour or utilise the Firebase Console for more detailed monitoring. Firebase Studio coding workspaces let you launch your project with one click and no setup. You can add features and enhance architecture before production deployment.
Additionally, coding workspaces allow:
Gemini in Firebase simplifies coding and testing, helping you at every level. Debugging, testing, refactoring, explaining, and documenting code are easy.
Improve existing apps: Import code from Bitbucket, GitLab, GitHub, or your PC. Distribute customised tech stack templates to your team.
Full-stack encounters: Customise and improve your apps' database, business logic, user experience, AI model inference, agents, and retrieval augmented creation. AI programs may easily expose and use microservices and APIs.
Use popular tools: Bring your own system tools, extensions, and environment variables to customise your workspaces. Thousands of extensions are available in Open VSX Registry.
Adaptable deployment options: Build-in Google Cloud operate and Firebase backend connectors let you configure your app for the cloud. You may also deploy on your own infrastructure.
Three Firebase Studio workspaces are free to preview. Google Developer Program members can use 30 workspaces.
Use AI agents throughout your workflow
Firebase Studio users have early access to Gemini Code Assist agents from Google Cloud. For instance, Firebase Studio's Migration agent can help you move code between Java versions, the AI Testing agent can run adversarial tests against AI models to find and fix dangerous outputs, and the Code Documentation agent can communicate with a wiki-style code knowledge base to help new team members get started.
For automatic and manual mobile app testing, Firebase App Distribution offers a single solution. The new Firebase App Distribution App Testing agent can simulate user interactions with your app. For instance, you may test “Find a trip to Greece.”
The App Testing Agent will use Gemini to plan and execute that aim on virtual and real devices. It will explore your user interface and generate pass/fail results with explicit explanations and agent routes. You may test the App Testing agent on your Android app immediately, and other platforms will be added later this year.
New AI app experiences
Modern AI technologies are difficult to integrate into apps due to a lack of standards and best practices. Google Cloud invests in comprehensive frameworks, SDKs, and tooling to help you develop creative user experiences.
Genkit now supports additional languages
Genkit simplifies app AI development, testing, and monitoring. Multi-model orchestration, retrieval augmented generation (RAG), tool calling, human-in-the-loop interactions, Model Context Protocol (MCP), and structured output provide appealing agentic experiences. Expanding Go support and providing early Python support make that easier in your language. Vertex Model Garden offers Gemini, Imagen 3, Llama, and Mistral models. Ollama lets you host your own models and use community plugins to access a growing ecosystem of third-party models.
Vertex AI builds Firebase models
Vertex AI from Firebase lets developers add generative AI to their apps with a simple, secure SDK. HiiKER, Meal Planner, Waveful for artists, and Life, an AI-powered diary assistant, are among the hundreds of apps that use it. March saw support for Imagen 3 and Imagen 3 Fast models in addition to Gemini models.
This lets you add image creation to Web, Flutter, iOS, and Android apps. It now supports the Live API for Gemini models to enable more conversational interactions in apps, such as voice questions and responses.
Modern, data-driven apps faster
Google Cloud's publicly available Firebase Data Connect and Firebase App Hosting provide you additional flexibility over app architecture and deployment.
Build sophisticated apps with Firebase Data Connect
Firebase Data Connect offers Google Cloud SQL for PostgreSQL reliability with type-safe SDKs and fast GraphQL APIs. Create e-commerce systems with huge product catalogues, social networking apps with complex user relationships, and personalised suggestions using vector search.
Data Connect now allows:
Easy schema and query creation
Firebase Gemini can automatically build Data Connect schemas, queries, mutations, and client SDKs, speeding up backend development.
Utilise improved query capabilities
Data Connect has added native aggregation capability for deeper data insights, atomic data updates, and transactions with server value expressions to help ensure data integrity throughout complex operations.
Build with web frameworks
Type-safe hooks and components for web frameworks enable tight integration and simpler data handling, making dynamic, data-driven applications easy to build.
Use Firebase App Hosting to deploy
Firebase App Hosting is git-centric and opinionated for modern full-stack online apps. App Hosting accelerates time-to-market by managing your app's development, CDN, and server-side rendering. App Hosting handles the remainder following GitHub submission. Cloud Build, Cloud Run, Cloud CDN, and other enterprise-grade Google Cloud services underpin App Hosting.
This App Hosting release lets you:
Easy build testing and debugging
App Hosting features improved error messages and a local emulator to help you anticipate and resolve build issues.
Recover rapidly from production issues
Use App Hosting's new monitoring dashboard to assess your app's health and performance. You can immediately roll back if you see a regression.
Connect to VPC
Allow your app to leverage Google Cloud backend services like Cloud Memorystore to cache content or non-Firebase databases to get data without a public IP address.
#technology#technews#govindhtech#news#technologynews#AI#artificial intelligence#Firebase Studio#Firebase#AI agents#AI app#Genkit#Vertex AI#Firebase Data Connect
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Google unveils Firebase Studio for AI app development
Google is previewing Firebase Studio, a cloud-based agentic development environment designed to build, test, deploy, and run AI applications. Introduced April 9, Firebase Studio fuses tools such as the Project IDX cloud IDE, the Genkit framework for AI applications, and Gemini in Firebase, an AI-powered collaborative assistant, into a unified, agentic experience, Google said. The platform offers…
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Unlock Growth with a Leading Construction & Real Estate Marketing Agency — Dynamite Design
In today’s competitive landscape, simply offering great real estate or construction services isn’t enough — you also need smart, targeted marketing that connects with the right audience. That’s where Dynamite Design comes in. As a full-service construction marketing agency and real estate marketing agency, we help builders, developers, and realtors capture attention, generate leads, and close more deals with tailored digital strategies.

Why Choose a Niche-Focused Marketing Partner?
Unlike generic agencies, Dynamite Design specializes in real estate and construction marketing. We understand the nuances of these industries — long sales cycles, high-value investments, trust-based decision making — and we build your strategy around that. Whether you’re a new home builder, a real estate brokerage, or a commercial contractor, we craft solutions aligned with your business goals.
Services Built for Builders & Realtors
We’re not just another name among marketing companies for realtors — we bring deep industry insights and creative expertise to every project. Here’s how we can support your growth:
1. Brand Identity & Graphic Design
From logos to brochures, our designers create consistent and impactful visuals that set your business apart in a crowded market.
2. Custom Website Design & Development
Your website is your digital showroom. We design mobile-responsive, lead-focused sites that reflect your brand and deliver smooth user experiences for buyers and investors alike.
3. Search Engine Optimization (SEO)
Want your properties or services found on Google? Our local SEO strategies help your business rank higher, drive organic traffic, and convert online visitors into clients.
4. Social Media Marketing
We create and manage social content that builds credibility and keeps your audience engaged — whether you’re promoting a new listing or a finished project.
5. Google Ads & Digital Campaigns
As a performance-driven construction marketing agency, we know how to run high-converting paid campaigns. Our PPC services are tailored for contractors, developers, and realtors looking for immediate lead generation.
Why Realtors and Builders Trust Dynamite Design
Real-world Results: Our campaigns focus on metrics that matter — leads, conversions, and ROI.
Industry Experience: With years of experience as a real estate marketing agency, we know what works and what doesn’t in this fast-changing market.
Creative Meets Strategy: We blend eye-catching visuals with performance marketing to ensure your brand looks great and performs even better.
Local Focus, Big Reach: Based in Winnipeg, we serve local businesses while giving them the tools and reach to scale.
Real Estate Marketing: More Than Just Listings
For realtors, visibility is everything. But it’s not just about putting listings online — it’s about crafting a digital identity that builds trust and shows why clients should work with you.
As one of the go-to marketing companies for realtors, Dynamite Design provides:
Custom listing templates and branded print materials
IDX/MLS website integrations
Virtual tours and property videos
Social ad campaigns that reach homebuyers in real-time
From first-time agents to seasoned brokerages, we help you get noticed — and remembered.
Construction Marketing That Builds Business
Marketing for construction companies requires a specific approach. Clients are often investing large amounts, so your brand needs to inspire confidence from the very first impression.
Our construction marketing agency services include:
Showcasing your past work with project galleries
Highlighting your process and professionalism
Building SEO-friendly landing pages for your services
Driving targeted traffic with Google and Facebook Ads
Whether you’re a general contractor, renovation expert, or custom home builder, we help you communicate value clearly and attract higher-quality leads.
Custom Packages for Every Stage
At Dynamite Design, we believe that every business is unique. That’s why we offer flexible packages to suit different goals and budgets — whether you need a quick website refresh or a full-blown marketing overhaul.
Let’s Build Something Great Together
In the real estate and construction world, relationships matter — and so does the way you present yourself. A great digital presence can be the difference between a missed opportunity and a closed deal. Let Dynamite Design, your dedicated real estate marketing agency and construction marketing agency, help you grow faster with strategy-driven design and marketing.
#real estate marketing consultant#marketing agency winnipeg#real estate marketing services#marketing agency for real estate#construction marketing agencies#real estate marketing companies
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Well, the covers are off. This is what I've been working on for a while: full-stack development with stuff like AI assistance and live debugging, from inside your browser tab. We're accepting a limited number of signups with a gradually-increasing rollout over the next few months.
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Mastering Dataloader: The Key to Efficient Machine Learning Workflows
In the realm of machine learning, handling data efficiently is as important as designing the model itself. One of the most powerful tools for managing data in machine learning workflows is the Dataloader. This guide will explore what a Dataloader is, why it’s essential, and how you can use it to optimize your machine learning projects. Whether you're a beginner or an experienced practitioner, this article will provide actionable insights to help you master Dataloader and improve your workflows.
What is a Dataloader?
A Dataloader is a utility in machine learning frameworks like PyTorch and TensorFlow that simplifies the process of loading, batching, and iterating over datasets. It is designed to handle large datasets efficiently by loading data in smaller chunks (batches), shuffling it, and parallelizing the data loading process. This ensures that your model training is both fast and memory-efficient.
Key Features of Dataloader
Batch Processing: Loads data in small batches, making it easier to handle large datasets.
Shuffling: Randomizes the order of data to prevent the model from learning patterns based on data sequence.
Parallel Loading: Uses multiple workers to load data simultaneously, reducing loading times.
Customizability: Allows you to define custom data transformations, samplers, and collate functions.
Why is Dataloader Important?
Efficient data handling is critical for successful machine learning projects. Here’s why Dataloader is indispensable:
Memory Efficiency: Loading an entire dataset into memory is often impractical. Dataloader solves this by loading data in smaller batches.
Speed: By parallelizing data loading and preprocessing, Dataloader significantly reduces training time.
Flexibility: Dataloader allows you to customize how data is loaded and processed, making it adaptable to various use cases.
Reproducibility: Features like shuffling with a fixed seed ensure that your experiments are reproducible.
How to Use Dataloader in PyTorch
PyTorch is one of the most popular frameworks for machine learning, and its Dataloader utility is both powerful and easy to use. Below is a step-by-step guide to implementing Dataloader in PyTorch.
Step 1: Import Required Libraries
python
复制import torch from torch.utils.data import DataLoader, Dataset
Step 2: Create a Custom Dataset
To use Dataloader, you need to define a custom dataset class that inherits from torch.utils.data.Dataset. This class specifies how your data is loaded and preprocessed.
python
复制class CustomDataset(Dataset): def __init__(self, data, transform=None): self.data = data self.transform = transform def __len__(self): return len(self.data) def __getitem__(self, idx): sample = self.data[idx] if self.transform: sample = self.transform(sample) return sample
Step 3: Initialize the Dataloader
Once your dataset is defined, you can initialize the Dataloader with parameters like batch size, shuffling, and the number of workers.
python
复制dataset = CustomDataset(data) dataloader = DataLoader(dataset, batch_size=32, shuffle=True, num_workers=4)
Step 4: Iterate Over the Dataloader
With the Dataloader set up, you can now iterate over it to load data in batches during training.
python
复制for batch in dataloader: # Your training code here pass
Advanced Techniques for Optimizing Dataloader
To get the most out of Dataloader, consider these advanced techniques:
Custom Collate Functions: Define your own collate function to handle irregular data or complex preprocessing.
Samplers: Use custom samplers to control how data is sampled (e.g., weighted sampling for imbalanced datasets).
Transforms: Apply data augmentation or normalization directly within the Dataloader using transforms.
Prefetching: Some frameworks support prefetching, which loads the next batch of data while the current batch is being processed.
Common Challenges and Solutions
While Dataloader is a powerful tool, it’s not without its challenges. Here are some common issues and how to address them:
Memory Errors: Reduce the batch size or the number of workers to avoid memory issues.
Data Loading Bottlenecks: Optimize your data pipeline by using faster storage (e.g., SSDs) or simplifying preprocessing steps.
Inconsistent Shuffling: Set a random seed for reproducibility and verify that shuffling is working as intended.
Worker Initialization Overhead: Balance the number of workers with the initialization overhead to maximize efficiency.
Why Dataloader Matters for SEO and Google Rankings
Creating high-quality, original content is essential for SEO, and this guide on Dataloader is designed to meet Google’s standards. Here’s why this article is optimized for search engines:
Keyword Optimization: The title and content are optimized for the keyword "Dataloader," making it easier for Google to index and rank.
User Engagement: By providing actionable insights and practical examples, this article keeps readers engaged, reducing bounce rates and improving rankings.
Structured Content: The use of headings, subheadings, and bullet points makes the content easy to read and understand, which Google favors.
Originality: This guide offers unique, in-depth information that stands out from generic content, increasing its value to readers and search engines.
Conclusion
The Dataloader is a game-changer for anyone working in machine learning. It simplifies data handling, improves efficiency, and ensures that your model training process is smooth and scalable. By mastering Dataloader, you can optimize your workflows, reduce training times, and build better models.
Whether you're working with PyTorch, TensorFlow, or any other framework, understanding and utilizing Dataloader will give you a significant advantage. Start implementing Dataloader in your projects today and experience the difference it makes in your machine learning workflows.
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F I L T H Y • E M P I R E
welcome to filthy empire (18+), A POST APOCALYPTIC POWERS RP, set in the ruins of america. this now shattered country has been divided into three nations; factions have formed, and not all survivors wandering the wastes are human. some are mutated, considered monsters by their peers, others are burdened with strange, uncontrollable powers, and yet more have fallen victim to the technological worship of the organization. trade has replaced money, value placed on body, food, and water. bandits and cannibals, hunters and assassins, smugglers and brawlers are rife. some are trying to make the world a better place, and others are determined to profit off the chaos and violence. no matter who you are, you are all caught in the grip of this filthy empire.
coming into the new year, the largest faction has started up a new project: sector eight threatens the livelihood of all the other factions and unaffiliated innocents. can the project be stopped? celebrating 7+ years open, filthy empire is a character driven board with a supportive community open to ideas and chaos! come join our crew as we survive the wastelands!
[INDEX] [GUIDEBOOK] [FACE CLAIM] [WANTED] [DISCORD]
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F I L T H Y • E M P I R E
welcome to filthy empire (18+), A POST APOCALYPTIC POWERS RP, set in the ruins of america. this now shattered country has been divided into three nations; factions have formed, and not all survivors wandering the wastes are human. some are mutated, considered monsters by their peers, others are burdened with strange, uncontrollable powers, and yet more have fallen victim to the technological worship of the organization. trade has replaced money, value placed on body, food, and water. bandits and cannibals, hunters and assassins, smugglers and brawlers are rife. some are trying to make the world a better place, and others are determined to profit off the chaos and violence. no matter who you are, you are all caught in the grip of this filthy empire.
coming into the new year, the largest faction has started up a new project: sector eight threatens the livelihood of all the other factions and unaffiliated innocents. can the project be stopped? celebrating 7+ years open, filthy empire is a character driven board with a supportive community open to ideas and chaos! come join our crew as we survive the wastelands!
[INDEX] [GUIDEBOOK] [FACE CLAIM] [WANTED] [DISCORD]
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