标签：#art

Prototype vs MVP: How to Validate an Interactive Product Before Overengineering It A common early-stage product mistake is treating development output as product validation. The team creates screens, components, integrations, API endpoints, and increasingly complex application logic. The backlog is moving. The product is growing. But the core assumption may still be untested. Before building a full MVP, a startup should be able to answer a simpler question: What exactly are we trying to validate? For some products, a clickable UI prototype is enough. For others — especially products involving real-time 3D, WebAR, WebXR, data visualization, or spatial interaction — the experience cannot be validated through static screens alone. The team may need a functional interactive prototype. Prototype and MVP solve different problems A prototype is an experiment. Its purpose is to explore the concept, test the main interaction, and expose incorrect assumptions early. An MVP is a usable product. Its purpose is to deliver real value in production conditions and test market demand. A prototype helps validate: interaction logic; product comprehension; technical feasibility; the main user flow; visual communication; investor or stakeholder response. An MVP helps validate: real usage; retention; willingness to pay; production performance; operational requirements; market demand. The distinction becomes important because prototypes and MVPs require different engineering decisions. A prototype should be focused and fast. An MVP needs a more reliable technical foundation. Building the second before learning from the first can lead to unnecessary architecture, unused features, and expensive rework. Define the hypothesis before choosing the stack Teams often begin technical discussions too early. Should we use React? Should the 3D layer be built with Three.js? Do we need WebXR support? Should the backend be serverless? These may be relevant questions, but they are not the first questions

At this year's Microsoft Build 2026, Microsoft unveiled a broad set of enhancements to Azure Kubernetes Service (AKS) aimed at making Kubernetes a first-class platform for AI training, inference, and large-scale cloud-native applications. By Craig Risi

Every Prime Day is a good day to make your home smarter, as deals on connected gear proliferate not just on Amazon but all across the web. And this Prime Day is no different. I sifted through hundreds of offers to find the ones that actually stand out — only the deepest discounts on the […]

These camera-equipped feeders will introduce you to birds you never knew were visiting, and many WIRED favorites are on sale for Prime Day.

Jos Benschop is climbing a ladder to get to the top of his newest machine. It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleaming precision-milled aluminum covered in thousands of snaking tubes, colored cables, and pressurized tanks. From the ground, it looks like a…

Everything is expensive. Treat yourself to one of these WIRED-tested and -approved Prime Day picks under $30.

Don't pay full price—snag one of these tasty Prime Day tech deals on some of our favorite WIRED-tested gadgets.

Power companies are pushing aggressive time-based use pricing. Here's how a regular consumer can benefit.

There's a headline pattern that feels like sharp marketing writing but quietly costs conversions. "You code. We cloud." It's clever. The parallel structure is tight. It names a clear division of labor. But it describes the service delivery model , not the developer outcome — and those are different things to someone scanning a landing page in five seconds. The audit fastapicloud.com is a managed hosting product built specifically for FastAPI developers. The hero H1 is: "You code. We cloud." On the surface this reads as clean, confident B2B positioning. In practice, it names the mechanism: You = who does the coding We cloud = who handles the infrastructure What's missing is the output. What does the developer actually walk away with? The gap (mechanism-first H1): The headline describes the service model without anchoring it in the developer outcome. The visitor has to make a three-step inference: "they handle the cloud" → "that means I don't do ops" → "so my app gets to production without a week of DevOps work." In five seconds of scrolling, most won't finish that chain. The headline earns a nod of recognition. It doesn't earn the scroll. The fix One line changes the frame completely. Before: "You code. We cloud." After: "Your FastAPI app is live in production — zero config rabbit holes, zero deploy-day surprises." The rewrite keeps the same promise — they handle the infrastructure — but anchors it in the developer's world. The outcome (app in production) is first. The pain points ("config rabbit holes," "deploy-day surprises") are the exact things a FastAPI developer has already lived through. "Zero config rabbit holes" names the experience of spinning up a production server for the first time. "Zero deploy-day surprises" names the dread: the Sunday night broken deploy that wasn't caught in staging. Any backend developer who reads that line knows exactly what it's describing. The mechanism (managed cloud, they handle ops) is still implied. But the headline earns the

The move comes after the company left potentially sensitive data from the initiative exposed internally.

Employees had previously raised concerns about the initiative, which involves collecting workers’ keystroke data to train AI models.

Spoiler: It's more Siri stuff.

What does an AI company do after one of those not-acqui-hire deals? Groq raised money, is leaning into its neocloud business, and is hiring new execs.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. For those of you enjoying your summer unaware of Anthropic’s latest feud with the US government, here’s a recap: In April the company said it had built an AI model called Mythos…

Smart glasses are hitting the mainstream, so companies are now getting into the accessories game.

WhatsApp gets a new boss, as Will Cathcart moves to a new role at Meta, while Shah steps down as CEO of Indian fintech giant CRED to replace Cathcart.

Save up to $190 on your pass to TechCrunch Founder Summit 2026 by June 26, 11:59 p.m. PT. Designed for founders first on November 4 in Boston. Register here.

Sometimes designers have silly ideas that eventually grow on you. That happened to me with this concept where I had to build columns of items moving in opposite directions when a user scrolls the page. CodePen Embed Fallback Note: This … Using Scroll-Driven Animations for Opposing Scroll Directions originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.

Big Tech is throwing big money into data center buildouts. As national opposition to the facilities grows, some workers are beginning to question whether it’s worth it.

Claude Opus 4.7 shipped last week, and the question any engineering team reaches for is how it compares to its peers. It is the strongest frontier coding model we tested on the baseline leaderboard, and it will be the easy default a lot of teams reach for. But in 2026, the model you reach for could matter less than the skill you load with it. That is what 880 evals across nine models (Opus 4.7, Opus 4.6, Sonnet 4.6, Haiku 4.5, gpt-5.4, gpt-5.3-codex, gpt-5-codex, and Cursor's Composer-2) tell us. Let’s take a step back. It’s now 2026, and agent skills are spreading like wildfire… (even our favourite movies are catching up to them). Watch on YouTube Every major agent ecosystem now has some version of them. So the question worth asking, whether you are a dev, a platform engineer, or an engineering leader, is which skills actually earn their context weight, and which ones just add cost. At Tessl, we believe context -particularly agent skills- and the broader concept of a context development lifecycle are where this space is heading (see also: Why the best AI coding teams will win on context ). The results below add to a growing body of signals pointing to a shift that is already underway. Top-line results Model Native behavior rate coverage (e.g "without skill") Adherence to skill ("with skill") Lift $/run (with skill) Avg time (with skill) claude-opus-4-7 80.5% 94.5% +14.0 $1.00 158.9s claude-opus-4-6 77.1% 93.8% +16.7 $0.53 126.6s claude-sonnet-4-6 75.6% 93.3% +17.7 $0.31 125.1s claude-haiku-4-5 61.2% 84.3% +23.1 $0.12 77.8s gpt-5.4 75.9% 92.7% +16.8 N/A* 135.4s gpt-5.3-codex 75.8% 91.9% +16.1 N/A* 87.9s gpt-5-codex 73.8% 85.1% +11.3 N/A* 136.2s cursor-composer-2 73.6% 90.5% +16.9 N/A* 152.0s We’ve evaluated 11 node.js development skills ( documentation, fastify-best-practices, init, linting-neostandard-eslint9, node-best-practices, nodejs-core, oauth, octocat, skill-optimizer, snipgrapher, typescript-magician ) , and aggregated “with vs without” skill performance. F