Wavyr Prototyper

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Wavyr Prototyper is the fastest way to create prototypes for your organization.

How Wavyr Prototyper can help you:

Converts plain text and images into interactive user interfaces.
Enables rapid iteration on UI designs to perfect your prototype.
Facilitates collaboration by allowing you to share prototypes with team members for feedback.
Supports code generation in multiple frameworks for easy integration into your projects.

Why choose Wavyr Prototyper: Key features

Interactive prototype creation with built-in AI assistance.
Easy collaboration and workspace sharing with team members.
Flexible export options, including code export for development handoff.
Supports iterative design process with side-by-side code and design view.

Who should choose Wavyr Prototyper:

Design teams and agencies looking for a quick prototyping solution.
Developers needing to convert ideas into workable UIs without extensive design skills.
Startups and organizations that prioritize rapid iteration and feedback on their digital products.

About Wavyr Prototyper

Website

https://www.getaprototype.com

Release Date

April 2024

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Claude Designer 3.0 : Vibe Coding UI Workflow (No Code)

What if designing user interfaces could feel less like a grind and more like an inspired flow? With the release of Claude Designer 3.0, that vision is becoming a reality. This isn't just another design tool -- it's a bold reimagining of how we approach UI creation. By combining cloud code, parallel tasking, and AI-driven insights, Claude Designer 3.0 introduces a workflow that's as dynamic as the designs it helps produce. Imagine generating multiple polished prototypes simultaneously or automating tedious tasks with a few lines of code. For designers tired of bottlenecks and rigid systems, this platform promises to be a fantastic option. AI Jason explore how Claude Designer 3.0 is reshaping the creative process from the ground up. You'll discover how parallel tasking accelerates ideation, why cloud code unlocks unparalleled customization, and how AI tools are empowering smarter, faster decisions. Whether you're a seasoned professional or just starting out, the innovations packed into this platform will challenge how you think about design workflows. But is it truly the ultimate tool for modern UI creation, or does it come with trade-offs? Let's unpack the possibilities and see how this new approach could transform your design journey. One of the core innovations of Claude Designer 3.0 is parallel tasking, a feature that enables you to generate multiple design variations simultaneously. This capability eliminates the bottlenecks associated with traditional, single-threaded workflows, allowing you to explore diverse design styles and layouts in a fraction of the time. For example: This approach not only accelerates prototyping but also ensures a broader range of creative possibilities, making the design process more dynamic and efficient. The cloud code feature introduces a new level of flexibility and control to your design workflow. By using a dedicated 'cloud.md' file, you can automate repetitive tasks, define custom rules, and tailor workflows to meet the specific demands of your project. Key functionalities include: This high degree of customization ensures that your designs are not only efficient but also adaptable to evolving project needs, allowing you to respond quickly to changes and deliver results that align with your vision. Master Parallel Tasking for UI Design with the help of our in-depth articles and helpful guides. Managing complex design projects often requires juggling multiple iterations and experiments. Claude Designer 3.0 simplifies this process through Git work trees, which allow parallel agents to work on different branches simultaneously. This feature is particularly valuable for isolating and testing various design elements, such as typography, color schemes, or layout structures. For instance: This structured approach promotes organization and collaboration, even when managing multiple design iterations, making it easier to maintain consistency and quality across all aspects of your project. Claude Designer 3.0 excels in simplifying the extraction and iteration of design systems, such as color palettes, typography, and component libraries. By using JSON files and parallel sub-agents, you can quickly generate multiple UI variations from a single reference design, saving time and effort. For example: This iterative process not only enhances the quality of your designs but also ensures their relevance and adaptability, making it easier to meet the demands of diverse projects and audiences. Artificial intelligence plays a pivotal role in Claude Designer 3.0, offering tools that enhance both the speed and precision of your design process. The cloud code SDK allows you to build custom coding assistants capable of automating complex tasks, such as generating wireframes or high-fidelity mockups. Additionally, a new cursor extension provides real-time UI previews, allowing you to visualize changes instantly. Key benefits include: These AI-driven tools not only reduce manual effort but also empower you to make data-driven design decisions, making sure that your projects are both efficient and effective. While Claude Designer 3.0 offers numerous advantages, it is not without its challenges. Current limitations include occasional bugs and slower performance when handling particularly complex workflows. However, ongoing development efforts are focused on optimizing task execution and expanding support for production-level applications. Potential future enhancements include: These updates aim to address existing limitations while further enhancing the platform's capabilities, making sure that it remains at the forefront of UI design innovation. The open source nature of Claude Designer 3.0 fosters a collaborative ecosystem where designers and developers can contribute to the platform's evolution. By sharing tools, workflows, and best practices, you can collaborate with others to experiment with new ideas and provide valuable feedback that drives innovation. This collaborative environment offers: By participating in this ecosystem, you can help ensure that Claude Designer 3.0 continues to evolve in response to user needs, fostering creativity and innovation across the industry. Claude Designer 3.0 exemplifies how technologies like cloud code, parallel tasking, and AI-driven tools can transform UI design workflows. By allowing faster iterations, multi-branch development, and real-time customization, the platform enables you to create high-quality designs with greater efficiency and precision. With ongoing improvements and a vibrant community of contributors, Claude Designer 3.0 is setting new benchmarks for UI design, making it an indispensable tool for professionals navigating the rapidly evolving landscape of digital design.

Geeky Gadgets

Sat, 28 Jun, 12:31 PM UTC

How to Build a SaaS App Quickly with Lovable : From Idea to App (No Code)

Have you ever had a brilliant app idea but felt overwhelmed by the thought of coding it into reality? For years, building a SaaS app meant navigating a maze of technical complexities, requiring either deep programming expertise or a hefty budget to hire developers. But what if you could skip the headaches and bring your vision to life in record time? Enter Lovable, an AI-powered platform that is transforming app development. By automating the heavy lifting, Lovable enables creators -- whether they're seasoned developers or complete beginners -- to transform concepts into functional prototypes with remarkable ease. The result? Faster development, lower costs, and a process that feels less like work and more like crafting something truly innovative. Helena Liu explains how Lovable and similar AI-driven platforms are reshaping the app development landscape. You'll discover how these tools eliminate the need for intricate coding, allowing you to focus on creativity and functionality. From generating features with simple prompts to seamlessly integrating secure backends, platforms like Lovable are providing widespread access to app creation for everyone. Whether you're an entrepreneur looking to launch the next big SaaS product or a business seeking to solve internal inefficiencies, this guide will show you how Lovable can help you build something not just functional, but genuinely lovable. After all, the future of app development isn't just about speed -- it's about empowering your ideas to shine. Vibe Coding platforms, such as Lovable, represent a pivotal shift in how apps are developed. These platforms use artificial intelligence to interpret user inputs and generate app features, eliminating the need for labor-intensive coding processes. Instead of focusing on intricate technical details, you can channel your energy into refining your app's vision while the platform handles the technical complexities. This approach provide widespread access tos app development, empowering both technical and non-technical users to bring their ideas to life. By using AI, Vibe Coding platforms streamline the traditionally complex development process. They allow you to focus on creativity and functionality, making app development more intuitive and accessible for individuals and businesses alike. The journey of building a SaaS app begins with identifying a problem or inefficiency that your app can address. For instance, imagine you're a frequent traveler frustrated by the lack of personalized travel planning tools. This could inspire an app like "Shirley," an AI-powered travel assistant designed to create custom itineraries and provide on-demand audio tours. Once you have a clear concept, platforms like Lovable simplify the development process. You start by crafting detailed prompts that outline your app's desired features. For example, you might request functionalities such as AI-powered image recognition to identify landmarks or an audio guide feature for immersive travel experiences. Lovable then uses these prompts to generate the requested features, allowing you to test and refine them iteratively. This iterative process ensures that your app evolves in alignment with your vision, allowing you to create a prototype that meets user needs effectively. A reliable backend is essential for managing data, making sure secure user authentication, and maintaining smooth app performance. Lovable integrates seamlessly with platforms like Superbase, which simplifies backend tasks. This integration ensures that your app can handle critical functions such as secure user logins, efficient data storage, and seamless performance. By automating backend processes, Lovable allows you to focus on enhancing your app's functionality and user experience. This ensures that your SaaS application is not only innovative but also secure and reliable. The Shirley app serves as a compelling example of how AI-powered platforms can transform innovative ideas into practical solutions. Its key features include: These features demonstrate how AI can transform a simple concept into a functional and engaging tool, offering users a seamless and personalized experience. Vibe Coding platforms like Lovable offer several distinct advantages over traditional development methods: These benefits make Vibe Coding platforms an attractive option for entrepreneurs, startups, and businesses looking to create innovative solutions efficiently. Apps developed using platforms like Lovable can serve a wide range of purposes across industries. For businesses, these apps can act as lead magnets, attracting potential customers by offering valuable tools or services. Additionally, they can be used to gather user feedback, allowing iterative improvements that align with user needs and preferences. This iterative approach ensures that your app remains relevant and continues to deliver value over time. Whether you're creating a tool for internal use or a product for the market, AI-driven platforms provide the flexibility and scalability needed to meet evolving demands. While Vibe Coding platforms excel in developing web apps, they currently face limitations in creating native mobile applications. However, web apps can still be deployed on mobile devices using wrappers, making sure accessibility for smartphone users. As AI technology continues to advance, these platforms are expected to expand their capabilities, bridging the gap between web and mobile app development. The future of Vibe Coding holds immense potential, with advancements in AI likely to enable more sophisticated features and broader applications. This evolution will further enhance the accessibility and efficiency of app development, opening new possibilities for innovation. AI-driven platforms like Lovable are reshaping the landscape of app development, making it faster, more accessible, and cost-effective. Whether you're a seasoned developer or a non-technical user, these tools empower you to turn your ideas into functional prototypes with ease. The Shirley app exemplifies the fantastic potential of AI-powered platforms, showcasing how innovative ideas can become practical solutions. As technology continues to evolve, the future of app development promises even greater possibilities. By using the capabilities of Vibe Coding platforms, you can unlock new opportunities for creativity and innovation, driving progress across industries and redefining the way apps are built.

Geeky Gadgets

Tue, 15 Jul, 8:05 AM UTC

Meet AnyCoder, a new Kimi K2-powered tool for fast prototyping and deploying web apps

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now AnyCoder, an open-source web app development environment developed by Hugging Face ML Growth Lead Ahsen Khaliq (@_akhaliq on X), has launched on Hugging Face Spaces. The tool, now available for all users of the AI code sharing repository Hugging Face, integrates live previews, multimodal input, and one-click deployment -- all within a hosted environment, allowing indie creators without much technical expertise, or those working on behalf of clients or large enterprises, to get started "vibe coding" web apps rapidly using the assistance of Hugging Face-hosted AI models. It also acts therefore as an alternative to services such as Lovable, which also allow users to type in plain English and begin coding apps without having formal programming knowledge. Free vibe coding available to all, powered by Kimi K2 Khaliq built AnyCoder as a personal project within the Hugging Face ecosystem and as "one of the first vibe coding apps" to support Moonshot's powerful yet small and efficient Kimi K2 model launched last week. AnyCoder's main functionality allows users to enter plain-text descriptions to generate HTML, CSS, and JavaScript. These are displayed in a live preview pane and can be edited or directly deployed. It also includes example templates for todo apps, dashboards, calculators, and more. Built entirely using Hugging Face's open-source Python development environment Gradio, AnyCoder allows users to describe applications in plain English or upload images, and instantly generate working frontend code. Khaliq built AnyCoder as a personal project within the Hugging Face ecosystem. In a direct message conversation with this VentureBeat journalist, he described it as a "free open source vibe coding app" and "one of the first vibe coding apps" to support Chinese startup Moonshot's powerful yet small and efficient open source AI model Kimi K2 launched last week. However, he also noted that multiple open source models are supported and users can switch between them with a dropdown menu on the control sidebar on the left pane, including: * Moonshot Kimi-K2 * DeepSeek V3 * DeepSeek R1 * Baidu's ERNIE-4.5-VL * MiniMax M1 * Alibaba's Qwen3-235B-A22B * SmolLM3-3B * GLM-4.1V-9B-Thinking Code from UI images, web search integration, and OCR support Using the ERNIE-4.5-VL model, AnyCoder supports multimodal generation. Users can upload UI design screenshots or mockups and generate functional frontend code from them -- making it useful for designers or teams working visually. AnyCoder includes a website redesign tool that extracts content from any public site and re-renders it with a more modern layout. It uses scraped content like page structure, meta information, and images to build a new version, optionally guided by user instructions like "make it minimalist" or "add dark mode." To support up-to-date design trends and implementation patterns, AnyCoder offers web search integration via Tavily. When enabled with an API key, the platform searches for current technologies and best practices before generating code. Users can upload images with embedded text -- like screenshots or handwritten notes -- and AnyCoder extracts that content using Tesseract OCR. The extracted text can then be incorporated into code prompts or app content. One-click deployment to Hugging Face Spaces AnyCoder allows instant deployment of generated apps to Hugging Face Spaces. After authenticating via OAuth and granting the required permissions, users can deploy apps under their own Hugging Face account namespace. Deployments include: * Mobile-friendly, responsive designs * Branded header/footer and README * Live, shareable URL * Full ownership and edit access This deployment capability now includes support for full Python apps built with Gradio, expanding the tool's use cases beyond static sites. Support for Streamlit is also under development. For novice developers or even those with technical expertise who want to spin up a new project fast, AnyCoder seems like a great and compelling place to start.

VentureBeat

Sat, 19 Jul, 12:04 AM UTC

With one prompt, I built an entire brand kit in an hour using Lovart

You bring the spark. Lovart builds the whole universe around it Many tools promise to unleash your creativity but then force you to wrestle with layers, templates and settings. As you drag things pixel by pixel and juggle Canva, Figma, Midjourney and ChatGPT you end up praying that your vision will survive the process. If you've ever tried to build a brand kit from scratch -- the logo, the social banners, the promo video, the product page -- you'll know how brutal things get without a designer. All too often you end up bouncing between five different apps and five YouTube tabs just to make something halfway usable. There has to be a better way. And I think I've found it. When I came across Lovart -- an AI that claimed it could generate over 40 branded assets from a single prompt -- I gave it the most honest test possible. No prep. No fancy prompts. No design background. Just a raw idea. The result? In less than one hour I had a complete brand kit -- logo, landing page, product visuals, and a full-motion video -- all export-ready and shockingly good. Lovart describes itself as an "AI Design Agent," not just a tool. You don't have to "create" everything -- Lovart reads your idea and makes creative decisions on your behalf. Let me show you how it works. Here's what I typed: "A minimalist skincare brand inspired by ocean minerals, called NEU." Seconds later, I got: No file juggling. No bouncing between tools. Everything simply showed up in the same interface, fully editable and export-ready. The quality genuinely surprised me. This wasn't "AI slop". It looked like something a junior designer might produce after a few days of work. It was clean, professional, and actually usable. Here's what makes Lovart different from other AI design tools: it's not running one model. It coordinates multiple specialized AI systems and gets them to work together. Under the hood, it's using: The magic is in the orchestration. Each model contributes to a unified result that feels brand-consistent and intentional -- not like random assets stitched together. You can edit anything: shorten the video, tweak fonts, change product names, adjust the colors. It's a truly plug-and-play design, but it delivers the polish you'd expect from paying an agency. What stood out most wasn't just the speed. It was how consistent Lovart felt across multiple tries. I tested it with lots of different brand concepts: a coffee shop, a tech startup, a fitness app. Every single time it delivered coherent, on-brand results without me having to babysit the process or write perfect prompts. It doesn't get tired. It doesn't get confused. It doesn't over-design or under-deliver. It just gets on with the job. It listens, executes, and adjusts -- again and again and again, until it gets it right. It felt less like using software and more like working with someone who's patient, fast, and never runs out of ideas. As a creator, that felt safe - and honestly, kind of luxurious. Elena Rodriguez, Lovart's co-founder and COO, says that this human-like presence is intentional: "We didn't just build a tool. We built an agent that behaves like your most reliable creative partner - someone who's always available, never tired, and totally attuned to your taste. That kind of presence changes the way people feel about making things." I've used Canva, struggled with Figma, and spent hours wrestling with Photoshop. And Lovart required none of that background knowledge. The interface is refreshingly simple: there's a big text box where you describe your idea, and an infinite canvas where results appear. You can refine anything by typing natural language requests like "make the logo more playful" or "create a darker color palette." There are no layers to manage. No export settings to figure out. No subscription limits across different tools. Just tell Lovart what you want, and watch it materialize. For context, building the same brand kit manually would have taken me: That's a total of 8+ hours, plus frustration. With Lovart: 45 minutes, plus excitement about what else it could do. Lovart won't replace human designers at big agencies. But for creators, marketers, small business owners, and indie builders it's genuinely game-changing. Access to multiple premium AI models that would normally require separate subscriptions, plus the coordination layer that makes them work together. It's like hiring a creative team that actually listens and never misses a deadline. Lovart isn't magic. Here's what I noticed: If Canva is a toolkit, Lovart is a collaborator. If Midjourney is inspiration, Lovart is execution. For the first time, you can go from "I have an idea" to "it's ready to publish" without getting lost in the tools, tutorials, or technical complexity. Is it perfect? No. Is it useful enough to pay for? Absolutely. Especially if you value your time and sanity more than learning design software. Pricing: Lovart starts at $29/month for individual creators, with team plans available. Given that you'd normally pay that much just for Canva Pro, and this includes access to multiple premium AI models plus coordination, it's reasonable value. Try it yourself: Lovart is now publicly available at www.lovart.ai

Tom's Guide

Thu, 24 Jul, 12:55 AM UTC

Vibe Coding is Shifting Teams to a Building-First Culture | AIM

'When development moves as quickly as generating content, there's little incentive to write before building.' A quiet shift is taking place in how product teams operate. After initially prioritising the perfecting of the Product Requirements Document (PRD) before coding, some teams are now substituting documents with demos. This change is driven by the rise of vibe coding and is happening in both Big Tech and startups. Product leaders are now prioritising speed over specification. This isn't about skipping steps, but about shifting priorities: moving faster by demonstrating instead of explaining, and using prototypes as the new language of collaboration. From Google's Gemini team to early-stage founders, there's a shared view that when development moves as quickly as generating content, there's little incentive to write before building. In the past, lengthy development cycles supported the need for longer documents. Scarce engineers, costly iterations, and the importance of planning contributed to this. However, this reasoning is gradually becoming outdated. As Madhu Guru from Google's Gemini team stated on X, Google is shifting from a writing-first culture to a building-first one. Guru noted that writing was once the primary means of demonstrating clear thinking, optimised for scarce engineering resources and long development cycles, which required accuracy before building. Now, prototyping is as quick as writing a PRD, enabling project managers to demonstrate rather than explain. Role boundaries blur as creativity and development co-occur. "The most successful startup I've worked with shipped its minimum viable product in six weeks. The least successful one spent 4 months writing specs for a product that never launched," Namanyay Goel, founder of Giga AI, told AIM, contrasting two extremes. Goel states that traditional cost assumptions are outdated. Tasks that once took weeks now only take hours due to AI-powered tools and quick prototyping environments. He advocates a new approach: skip the 20-page PRD, start with a lightweight demo and one-pager that explains the problem it solves, what it proves, and the metric it hits. Goel suggests that the working prototype should narrate the story, while the one-pager is reserved for outlining contracts and commitments. This can be backed by the example of a 91-year-old grandpa vibe coding with Claude. Eduard Ruzga, staff engineer at Prezi, said prototyping is a natural way to make ideas real, even if it's early-stage sketching. "I have known for decades that words are not enough. A picture is worth a thousand words. I always create quick prototypes these days to communicate possibilities and goals better," he said. But Ruzga also cautions that the method is still forming. "It's more like doodling where AI is a brush." Meanwhile, Goel observes that there are areas where writing still matters, shared schemas, compliance-focused decisions, or significant cross-team efforts. However, he believes these represent only a small part of the overall work. "The other 80% -- the user flows, interaction patterns, and feature discovery -- can be prototyped faster than they can be specified," He said. Vibe coding isn't just a trend. It's a fundamental shift in how we work. As build times decrease and AI enhances creativity, teams no longer need to wait for perfect alignment on paper. The playbook is evolving: write less, build more, and let the demo speak for itself. "The companies still writing elaborate specs while their competitors are shipping will find themselves in the same position as those who insisted on fax machines when email became ubiquitous," Goel said.

Analytics India Magazine

Fri, 1 Aug, 12:14 PM UTC

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