# Prototyping Published articles for Prototyping. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Prototyping with Framer DevFeed: [Prototyping with Framer]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-10-03T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Testing](), [coding](), [backends]() Tags: [backends](), [engineering](), [framer](), [news](), [prototype](), [prototyping](), [user-testing](), [web-frontend]() ### AI overview Khan Academy describes how it uses prototypes in user testing to gather feedback on new designs. The article explains the role of low- and high-fidelity prototypes, their limited lifespan, and the choice of Framer for creating and revising prototypes quickly. ### Source excerpt By Nick Breen We strive to make all of Khan Academy's new features & experiences easy to understand ... Read more ## Design in KiCad, Quote with AIVON: A Faster Path to PCB Prototyping (Sponsored) DevFeed: [Design in KiCad, Quote with AIVON: A Faster Path to PCB Prototyping (Sponsored)]() Original publisher: [Read original article]() Author: Sponsored Post Published: 2026-09-15T02:00:57Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Hardware](), [systems]() Tags: [aivon](), [engineering](), [hardware](), [kicad](), [manufacturing](), [pcb](), [plugin](), [prototyping](), [sponsored](), [verification](), [workflow]() ### AI overview AIVON's official KiCad Plugin connects a completed PCB layout to an online quotation form. After design-rule checking, it prepares manufacturing data and reduces manual exporting, zipping, uploading, and form entry during PCB prototyping. ### Source excerpt Finished your PCB layout in KiCad? You don't necessarily need to leave the PCB Editor, export a separate set of manufacturing files, and manually upload them to a PCB manufacturer. AIVON's KiCad Plugin creates a direct path from your PCB design to an online PCB quote. AIVON has integrated an official KiCad plugin that connects a finished PCB layout to the company's online quotation page. After DRC, users can click the plugin in the PCB Editor, automatically prepare manufacturing data, and land on a pre-filled quote form instead of exporting, zipping, and uploading files by hand. Rather than introducing a new plugin framework, AIVON's integration leverages KiCad's existing Plugin and Content Manager ecosystem. For developers who already use KiCad for schematic capture and PCB layout, the integration provides another way to connect the design stage with PCB fabrication without manually repeating every manufacturing-file preparation step. Connecting KiCad PCB Design with [...] The post Design in KiCad, Quote with AIVON: A Faster Path to PCB Prototyping (Sponsored) appeared first on CNX Software - Embedded Systems News. ## Test Complex Interactions Earlier with AI Prototyping DevFeed: [Test Complex Interactions Earlier with AI Prototyping]() Original publisher: [Read original article]() Author: Megan Chan Published: 2026-09-11T17:00:00Z Content type: article Language: en Sources: [NN/g latest articles and announcements]() Topics: [Artificial Intelligence](), [User interface design](), [cursor]() Tags: [ai](), [article](), [case-studies](), [conversational-ai](), [cursor](), [design](), [prototyping]() ### AI overview AI prototyping tools enable teams to create high-fidelity, interactive prototypes of complex interfaces and test them with users earlier in the design process. The article discusses how Ramp used Cursor to prototype an AI chat-based expense-policy editor and uncover usability issues and edge cases. ### Source excerpt AI tools make it feasible to build fully interactive prototypes of complex interfaces so you can test them with users earlier in the design process. ## GPT Images 2.5 promises edits that leave the rest of your image alone DevFeed: [GPT Images 2.5 promises edits that leave the rest of your image alone]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-10T19:46:32Z Content type: news Language: en Sources: [The New Stack]() Topics: [Artificial Intelligence](), [Latency]() Tags: [ai](), [applications](), [cost](), [generation](), [gpt](), [images](), [latency](), [model](), [models](), [openai](), [production](), [prototyping](), [search](), [workflows]() ### AI overview OpenAI's GPT Images 2.5 introduces two image-editing models: Flare, optimized for speed and lower latency, and Sunburst, designed for greater precision and control. Both have the same listed token rates, but OpenAI does not explain their actual token consumption or comparative per-image costs. ### Source excerpt When OpenAI launched GPT Images 2.5 this week, the company promised better results for a common editing task: changing one The post GPT Images 2.5 promises edits that leave the rest of your image alone appeared first on The New Stack. ## How to Move an AI App from a Frontier Model to Open Weights DevFeed: [How to Move an AI App from a Frontier Model to Open Weights]() Original publisher: [Read original article]() Author: Gus Schissler Published: 2026-09-10T12:00:43Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [Artificial Intelligence](), [Large Language Model](), [Benchmark](), [inference-providers](), [codex]() Tags: [ai](), [ai-for-developers](), [benchmark](), [codex](), [how-to](), [inference](), [inference-providers](), [llm](), [prototyping]() ### AI overview This tutorial describes moving an AI document-processing prototype from a frontier model to cheaper open-weight models through hosted inference providers. It explains how to define a trusted gold set from real project outputs and use workflow-specific evaluation to identify where lower-cost models fail. ### Source excerpt At Atomic Object, we're encouraged to prototype and dogfood internal projects. Over the last four months, I've been building a prototype to help solve a part of my job that I dislike. The first version used an LLM to extract and classify information from documents, then connect related pieces so humans and agents could retrieve [...] The post How to Move an AI App from a Frontier Model to Open Weights appeared first on Atomic Spin. ## Playco cut manual fixes 50% prototyping games with GPT-6 Astra DevFeed: [Playco cut manual fixes 50% prototyping games with GPT-6 Astra]() Original publisher: [Read original article]() Published: 2026-09-03T12:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Game engine](), [ide](), [Code]() Tags: [ai](), [ai-models](), [bugs](), [game-development](), [gpt](), [ide](), [performance](), [prototypes](), [prototyping](), [reasoning](), [startup](), [ui](), [vision]() ### AI overview Playco reports that GPT-6 Astra helped it create three themed game prototypes from a shared grey-box foundation, with 50% fewer manual fixes than its previous model. The company uses the model in Playbot, an AI-powered IDE connected to game engines for editing, testing, validation, and bug finding. ### Source excerpt Using GPT-6 Astra, Playco built three themed game prototypes from one grey box foundation and reported 50% fewer manual fixes than with the previous model. ## How we could save petabytes of cache storage with Zstandard and Pingora DevFeed: [How we could save petabytes of cache storage with Zstandard and Pingora]() Original publisher: [Read original article]() Author: Aashi Patel Published: 2026-09-01T12:59:00Z Content type: article Language: en Sources: [Cloudflare Blog]() Topics: [Caching](), [Pingora](), [cloud-infrastructure](), [Hardware]() Tags: [cache](), [cloudflare](), [compression](), [cpu](), [data-center](), [hardware](), [internship-experience](), [performance](), [pingora](), [prototyping](), [storage](), [testing]() ### AI overview Cloudflare describes a Cache Transcoding prototype that stores eligible cached assets in Zstandard-compressed form. The approach aims to increase effective cache capacity and reduce inter-data-center transfers while adding a small CPU cost during cache fills. ### Source excerpt Could we get more cache space with the same hardware? We prototyped compression inside Cloudflare's cache to find out. ## Gemini Omni 1.1 Flash lets you build with more control DevFeed: [Gemini Omni 1.1 Flash lets you build with more control]() Original publisher: [Read original article]() Author: Anish Nangia Published: 2026-08-27T16:11:32Z Content type: article Language: en Sources: [Google DeepMind News]() Topics: [Google AI](), [Artificial Intelligence](), [API](), [Deployment]() Tags: [ai](), [api](), [cost](), [developer](), [gemini](), [generative](), [none](), [production](), [prototyping](), [video]() ### AI overview Google introduces Gemini Omni 1.1 Flash, adding controllable generative video features for developers through the Gemini API in Google AI Studio. The update supports scene extension, keyframe-based transitions, and faster, lower-cost 360p previews for prototyping and creative workflows. ### Source excerpt Gemini Omni 1.1 Flash brings a new suite of creative controls and generative video capabilities to developers. ## From Concept to Restaurant Pilot in Under a Year DevFeed: [From Concept to Restaurant Pilot in Under a Year]() Original publisher: [Read original article]() Author: Global Technology Published: 2026-08-25T17:13:54Z Content type: article Language: en Sources: [McDonald's Technical Blog - Medium]() Topics: [User experience (UX)](), [User interface design](), [Usability](), [Front end](), [Testing]() Tags: [collaboration](), [digital-transformation](), [frontend](), [innovation](), [product-development](), [prototyping](), [testing](), [usability](), [user-research](), [ux](), [ux-design]() ### AI overview The article describes how McDonald's used user research, rapid prototyping, cross-functional collaboration, and real-world testing to develop Sesame UX and move it from concept to a live restaurant pilot in under a year. The work addressed crew needs, operational complexity, and business priorities for the company's global POS system. ### Source excerpt How McDonald's combined user research, rapid prototyping, and cross-functional collaboration to bring Sesame UX from idea to reality. by: Ryan Bush, Sr Manager, UX Design & Kartik Patel, Software Engineer II Quick Bytes Bringing a new Point-of-Sale (POS) experience to life at McDonald's scale required balancing crew needs, operational complexity, and business priorities Research, prototyping, and real-world testing showed a new approach could improve speed, accuracy, and usability for crew members Sesame UX moved from concept to a live restaurant pilot in under a year, demonstrating measurable improvements and a new approach to innovation at scale Creating meaningful change at the scale of McDonald's means navigating deeply entrenched operational practices, specialized technology, and market-specific requirements. Any new idea must not only solve a meaningful problem but also demonstrate value that resonates across a broad and diverse set of stakeholders. Driving transformative innovation in an organization at this scale requires building shared alignment around the root problem, the opportunity it presents, and the value a proposed solution can create. It also requires using cost-efficient methods to prove to stakeholders the undeniable value of the change, along with a team of determined individuals who can get creative and who aren't deterred by obstacles or setbacks. McDonald's global Point-of-Sale (POS) system, Sesame, is actively used by over one million crew members worldwide. Markets, Owner/Operators, and managers have invested significant time and resources in training crew members to use the system, and thousands of crew members have mastered the POS experience. With this level of scale and investment, how could an organization evolve the frontend POS experience while building on the strengths of an already proven platform? How could the benefits outweigh the cost of the change? Building on a foundation used by millions The Sesame platform has evolved over ## Figma is the New Dreamweaver: How Modern Prototyping Tools are Trapping Us in 2018 DevFeed: [Figma is the New Dreamweaver: How Modern Prototyping Tools are Trapping Us in 2018]() Original publisher: [Read original article]() Author: Noah Davis Published: 2026-08-17T12:04:00Z Content type: opinion Language: en Sources: [Web Designer Depot]() Topics: [Figma](), [Code](), [CSS](), [HTML](), [Web](), [Web Development](), [systems]() Tags: [accessibility](), [css](), [design](), [design-systems](), [design-tools](), [dreamweaver](), [figma](), [figma-alternatives](), [frontend-development](), [html](), [interface-design](), [modern-web-design](), [product-design](), [prototyping](), [responsive-design](), [systems](), [ui-design](), [user-experience](), [ux-design](), [web](), [web-design](), [web-designers](), [web-development](), [writing-code]() ### AI overview Figma's polished, pixel-based canvas and prototyping features can obscure the fluidity, document flow, layout behavior, and unpredictable content of the web. The article argues that designers who rely on fixed artboards and simulated code risk repeating Dreamweaver's history of separating visual design from HTML, CSS, responsive behavior, performance, and systems thinking. ### Source excerpt Just like Dreamweaver convinced a generation they could ignore HTML and CSS, Figma's perfect canvas may be hiding the messy realities of how the web actually works. The future belongs to designers who understand systems, behavior, performance, and code--not just pixels. ## Stain the Page: How I Prototype with AI DevFeed: [Stain the Page: How I Prototype with AI]() Original publisher: [Read original article]() Author: Hannah Tipperman Published: 2026-07-24T16:00:00Z Content type: opinion Language: en Sources: [Squarespace](), [Squarespace Engineering Blog]() Topics: [Artificial Intelligence](), [coding](), [Code](), [User Experience]() Tags: [ai](), [architecture](), [coding](), [prototype](), [prototyping](), [time]() ### AI overview The article argues that AI-assisted prototyping can quickly turn ideas into rough proof-of-concept builds, allowing engineers to focus their cognitive energy on architecture, user experience, and creative decisions instead of boilerplate and low-level implementation details. ### Source excerpt AI is incredible for rapid idea and hypothesis testing by prototyping. It isn't about writing code -- it's about protecting your most valuable resource: cognitive energy. As engineers, we often face the overwhelming task of determining the look, feel, and architecture of an idea through hundreds of tiny decisions. By the time we get to the novel part of the problem we're trying to solve, our brains are tired. We can burn out before we even truly begin. To solve this, we can steal a trick from artists and writers. ## Sightlines issue no.1: Insights from Config DevFeed: [Sightlines issue no.1: Insights from Config]() Original publisher: [Read original article]() Author: Figma Published: 2026-07-16T16:37:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Artificial Intelligence](), [OpenAI]() Tags: [ai](), [beginner](), [collaboration](), [design](), [development](), [engineering](), [experiment](), [insights](), [leadership](), [product-development](), [prototyping]() ### AI overview Sightlines issue no.1 shares lessons from Config's Leadership Collective about leading product, design, and engineering teams in the age of AI. It emphasizes enduring leadership fundamentals, experimentation, collaboration, human judgment, and maintaining quality as teams adopt AI. ### Source excerpt The conversations we're still replaying from Config's Leadership Collective. ## 10 modern UI/UX design tools: Build impactful client sites DevFeed: [10 modern UI/UX design tools: Build impactful client sites]() Original publisher: [Read original article]() Author: Webflow Team Published: 2026-07-02T00:00:00Z Content type: article Language: en Sources: [Webflow Blog]() Topics: [UI/UX Design](), [User interface design](), [User Experience](), [webflow](), [Sketch](), [Figma](), [Content Management System](), [CSS](), [HTML]() Tags: [collaboration](), [css](), [design](), [design-tools](), [figma](), [html](), [prototyping](), [tools](), [ui-ux-design](), [user-testing](), [webflow](), [workflows]() ### AI overview A guide to 10 UI/UX design tools for creating client websites, with use cases spanning visual design, handoffs, remote collaboration, structured experiences, user testing, prototyping, and defined user journeys. It also explains how Webflow supports visual website building, interactions, responsive testing, content management, and launch workflows. ### Source excerpt Explore 10 of the best UI/UX design tools for building different kinds of client websites and improving collaboration on a wide range of project types. ## Start building with Nano Banana 2 Lite and Gemini Omni Flash DevFeed: [Start building with Nano Banana 2 Lite and Gemini Omni Flash]() Original publisher: [Read original article]() Author: Alisa Fortin Published: 2026-06-30T16:02:40Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [Google AI](), [API](), [text-to-image](), [Artificial Intelligence]() Tags: [ai](), [api](), [benchmarks](), [build-faster](), [building](), [cost](), [efficiency](), [gemini](), [generation](), [generative](), [google-ai](), [images](), [latency](), [life](), [media](), [models](), [none](), [performance](), [prototyping](), [scale](), [video]() ### AI overview Google DeepMind announces Nano Banana 2 Lite, a fast and cost-efficient image model for high-throughput developer pipelines, and makes Gemini Omni Flash available to developers for video generation and conversational editing. The models are offered through Google AI Studio, the Gemini API and Gemini Enterprise Agent Platform. ### Source excerpt Scale your ideas with Nano Banana 2 Lite, our fastest, most cost-efficient Gemini Image model, and Gemini Omni Flash for high-quality video and conversational editing. ## Best UX design courses: Top options for beginners and professionals DevFeed: [Best UX design courses: Top options for beginners and professionals]() Original publisher: [Read original article]() Author: Webflow Team Published: 2026-06-20T00:00:00Z Content type: article Language: en Sources: [Webflow Blog]() Topics: [User Experience](), [Learning](), [web design]() Tags: [beginners](), [career](), [certifications](), [courses](), [design](), [fundamentals](), [google](), [guide](), [information-architecture](), [interaction-design](), [prototyping](), [udemy](), [ux]() ### AI overview This guide compares eight UX design courses for beginners and career changers, covering options from Udemy, Google, SuperHi, Envato Tuts+, Designlab, IxDF, Springboard, and General Assembly. It outlines course focus, learning format, and suitability for different goals. ### Source excerpt Explore eight of the best UX design courses that cover fundamentals, career advice, advanced concepts, and resources for learners of all skill levels. ## 9 website prototyping tools for UX and UI designers DevFeed: [9 website prototyping tools for UX and UI designers]() Original publisher: [Read original article]() Author: Webflow Team Published: 2026-06-12T00:00:00Z Content type: comparison Language: en Sources: [Webflow Blog]() Topics: [User experience (UX)](), [ui](), [web design](), [Website](), [Web]() Tags: [collaboration](), [compare](), [compatibility](), [design](), [prototyping](), [tools](), [ui](), [usability](), [ux](), [web-design](), [website-design](), [workflow]() ### AI overview This guide compares nine website prototyping tools for UX and UI designers. It explains how interactive prototypes support user-journey testing, client feedback, usability checks, and developer handoff, and outlines criteria including ease of use, features, compatibility, collaboration, and device previews. ### Source excerpt Explore nine website prototyping tools that help you move from wireframes to developer handoff. See which platform suits your budget and workflow best. ## The Benefits Of Cognitive Inclusion In UX Research DevFeed: [The Benefits Of Cognitive Inclusion In UX Research]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Kate Kalcevich) Published: 2026-06-10T10:00:00Z Content type: article Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [User experience (UX)](), [Accessibility](), [Usability]() Tags: [accessibility](), [design](), [digital-products](), [guide](), [insights](), [prototyping](), [research](), [survey](), [testing](), [usability](), [user-research](), [ux]() ### AI overview An exploratory UX research study examines whether participants with cognitive disabilities uncover more usability insights than general-population participants. It describes recruitment and screening, research practices, a pilot with 25 testers, user interviews, surveys, and a joint validation study using websites built with an AI prototyping tool. ### Source excerpt Findings from an exploratory user research study highlighting the unique insights and practical UX recommendations shared by participants with cognitive disabilities. ## Ten Data-Backed Truths Of User Experience ROI DevFeed: [Ten Data-Backed Truths Of User Experience ROI]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Carrie Webster) Published: 2026-05-15T10:00:00Z Content type: article Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [User Experience](), [data](), [FIRST]() Tags: [analytics](), [business](), [business-value](), [cost](), [data](), [design](), [engineering](), [growth](), [performance](), [prototyping](), [retention](), [revenue](), [user-experience](), [ux]() ### AI overview This article presents data-backed arguments that user experience is a direct driver of business value, revenue, retention, and growth. It emphasizes research and analytics, shows how reducing mobile load time improved completed transactions, and argues that resolving design problems during prototyping can be far cheaper than fixing them after launch. It also highlights performance as a fundamental part of UX. ### Source excerpt Every extra second of friction has a measurable business cost. Carrie Webster shares ten data-backed UX facts that link user experience directly to revenue, retention, and long-term growth. ## Branching Without Git Is Now The Default DevFeed: [Branching Without Git Is Now The Default]() Original publisher: [Read original article]() Author: Joshen Lim; Qiao Han Published: 2026-05-04T07:00:00Z Content type: release Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [Databases](), [Database Migration](), [Git](), [GitHub](), [pull-requests](), [Infrastructure as code]() Tags: [ai](), [audit-trail](), [database](), [git](), [github](), [infrastructure-as-code](), [prototyping](), [pull-request]() ### AI overview Supabase has made branching without Git the default for all projects. Developers can create branches from the Supabase Dashboard, edit schemas with the SQL or Table Editor, review schema differences, and merge without configuring GitHub. Git-based branching remains fully supported for teams that manage migrations in version control and use pull request workflows. ### Source excerpt Branching without Git is now the default for all Supabase projects. ## The UX Designer's Nightmare: When "Production-Ready" Becomes A Design Deliverable DevFeed: [The UX Designer's Nightmare: When "Production-Ready" Becomes A Design Deliverable]() Original publisher: [Read original article]() Author: hello@smashingmagazine.com (Carrie Webster) Published: 2026-04-22T10:00:00Z Content type: opinion Language: en Sources: [Articles on Smashing Magazine -- For Web Designers And Developers]() Topics: [User Experience](), [Artificial Intelligence](), [User interface design](), [Code](), [coding](), [Accessibility](), [Information Architecture]() Tags: [accessibility](), [agents](), [ai](), [ai-agents](), [career](), [cognitive-load](), [design](), [development](), [information-architecture](), [prototyping](), [react](), [skills](), [survey](), [ux]() ### AI overview The article argues that AI-augmented development, technical orchestration, and production-ready prototyping are rapidly becoming expectations for UX designers. It examines the resulting role creep, competency gap, and tension between fast AI-generated code and preserving human-centered, safe, accessible, and useful experiences. ### Source excerpt In a rush to embrace AI, the industry is redefining what it means to be a UX designer, blurring the line between design and engineering. Carrie Webster explores what's gained, what's lost, and why designers need to remain the guardians of the user experience. ## GLM 5.1 on AI Gateway DevFeed: [GLM 5.1 on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-04-07T07:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [AI Chat](), [SDKs]() Tags: [agentic](), [agentic-coding](), [ai](), [ai-gateway](), [api](), [autonomous](), [benchmarking](), [code-generation](), [coding](), [cost](), [engineering](), [model](), [models](), [observability](), [performance](), [playground](), [productivity](), [prototyping](), [routing](), [testing]() ### AI overview GLM 5.1 from Z.ai is now available through Vercel AI Gateway. The model is presented for long-running autonomous and multi-step engineering tasks, while AI Gateway offers a unified model API with usage tracking, routing, retries, and observability. ### Source excerpt GLM 5.1 from Z.ai is now available on Vercel AI Gateway. Designed for long-horizon autonomous tasks, GLM-5.1 can work continuously on a single task for extended periods, handling planning, execution, testing, and iterative refinement in a closed loop. Rather than one-shot code generation, it runs an autonomous cycle of benchmarking, identifying bottlenecks, and optimizing across many iterations, with particular strength in sustained multi-step engineering workflows. Beyond agentic coding, GLM-5.1 improves on general conversation, creative writing, front-end prototyping, and office productivity tasks like generating PowerPoint, Word, and Excel documents. To use GLM 5.1, set model to zai/glm-5.1 in the AI SDK. AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, observability, Bring Your Own Key support, and intelligent provider routing with automatic retries. Learn more about AI Gateway, view the AI Gateway model leaderboard or try it in our model playground. Read more ## Vibe Coding XR: Accelerating AI + XR prototyping with XR Blocks and Gemini DevFeed: [Vibe Coding XR: Accelerating AI + XR prototyping with XR Blocks and Gemini]() Original publisher: [Read original article]() Published: 2026-03-25T09:14:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Vibe coding](), [Android XR](), [WebXR](), [3D web development](), [Human-Computer Interaction and Visualization](), [long-context](), [Artificial Intelligence](), [creative technology](), [Google]() Tags: [3d](), [3d-web-development](), [ai](), [android-xr](), [gemini](), [google](), [human-computer-interaction](), [human-computer-interaction-and-visualization](), [language-models](), [long-context](), [machine-intelligence](), [prototyping](), [vibe-coding](), [visualization]() ### AI overview Google Research presents Vibe Coding XR, a rapid-prototyping workflow that combines Gemini Canvas with the open-source XR Blocks framework to turn natural-language prompts into interactive, physics-aware WebXR applications for Android XR. The workflow supports desktop simulation in Chrome and enables creators to test spatial interactions before deploying to headsets. ### Source excerpt Human-Computer Interaction and Visualization ## Presentation: netlab Overview and Use Cases (NetBCN) DevFeed: [Presentation: netlab Overview and Use Cases (NetBCN)]() Original publisher: [Read original article]() Published: 2026-03-05T08:24:00Z Content type: article Language: en Sources: [ipSpace.net blog]() Topics: [Network](), [Automation](), [Testing]() Tags: [automation](), [event](), [netlab](), [network-automation](), [presentation](), [prototyping](), [use-cases]() ### AI overview The article announces a presentation on netlab use cases delivered at the NetBCN event. The presentation covers examples involving rapid prototyping, testing network automation software, and working with vendor technical assistance. ### Source excerpt Yesterday, I had a short presentation on netlab use cases during the NetBCN event. It covered a dozen examples, from rapid prototyping to testing network automation software and arguing with vendor TAC. I added the "use cases" part of the presentation to the standard netlab presentation; you can view the results on ipSpace.net (no account or registration required). Explore ## Workflow lab: AI image tooling and interactive prototyping in Figma DevFeed: [Workflow lab: AI image tooling and interactive prototyping in Figma]() Original publisher: [Read original article]() Author: Mallory Dean Published: 2026-02-27T14:27:20.319000Z Content type: tutorial Language: en Sources: [Figma Blog]() Topics: [Figma](), [User experience (UX)](), [Design system](), [Tooling]() Tags: [design](), [design-system](), [figma](), [image-editing](), [prototyping](), [tooling]() ### AI overview Figma presents a sample workflow for testing referral-program signup experiences with image editing, visual effects, design-system components, and interactive prototypes. The Trivet team compares a modal, an in-feed card, and a full-screen overlay to balance attention and user experience. ### Source excerpt A workflow to try--bringing together precise image editing, Vectorize, and interactive prototypes to move from concept to crit to completion faster. [Next page]()