John Edwards, Technology Journalist & AuthorJune 5, 20254 Min ReadSailGP Australia, USA, and Great Britain racing on San Francisco Bay, CaliforniaDannaphotos via Alamy StockWarren Jones is CTO at SailGP, the organizer of what he describes as the world's most exciting race on water. The event features high-tech F50 boats that speed across the waves at 100 kilometers-per-hour (62 miles-per-hour).  Working in cooperation with Oracle, Jones focuses on innovative solutions for remote broadcast production, data management and distribution, and a newly introduced fan engagement platform. He also leads the team that has won an IBC Innovation Awards for its ambitious and ground-breaking remote production strategy. Among the races Jones organizes is the Rolex SailGP Championship, a global competition featuring national teams battling each other in identical high-tech, high-speed 50-foot foiling catamarans at celebrated venues around the world. The event attracts the sport's top athletes, with national pride, personal glory, and bonus prize money of $12.8 million at stake. Jones also supports event and office infrastructures in London and New York, and at each of the global grand prix events over the course of the season. Prior to joining SailGP, he was IT leader at the America's Cup Event Authority and Oracle Racing. In an online interview, Jones discusses the challenges he faces in bringing reliable data services to event vessels, as well as onshore officials and fans. Related:Warren JonesWhat's the biggest challenge you've faced during your tenure? One of the biggest challenges I faced was ensuring real-time data transmission from our high-performance F50 foiling catamarans to teams, broadcasters, and fans worldwide. SailGP relies heavily on technology to deliver high-speed racing insights, but ensuring seamless connectivity across different venues with variable conditions was a significant hurdle. What caused the problem? The challenge arose due to a combination of factors. The high speeds and dynamic nature of the boats made data capture and transmission difficult. Varying network infrastructure at different race locations created connectivity issues. The need to process and visualize massive amounts of data in real time placed immense pressure on our systems. How did you resolve the problem? We tackled the issue by working with T-Mobile and Ericsson in a robust and adaptive telemetry system capable of transmitting data with minimal latency over 5G. Deploying custom-built race management software that could process and distribute data efficiently [was also important]. Working closely with our global partner Oracle, we optimized Cloud Compute with the Oracle Cloud.  Related:What would have happened if the problem wasn't quickly resolved? Spectator experience would have suffered. Teams rely on real-time analytics for performance optimization, and broadcasters need accurate telemetry for storytelling. A failure here could have resulted in delays, miscommunication, and a diminished fan experience. How long did it take to resolve the problem? It was an ongoing challenge that required continuous innovation. The initial solution took several months to implement, but we’ve refined and improved it over multiple seasons as technology advances and new challenges emerge. Who supported you during this challenge? This was a team effort -- with our partners Oracle, T-Mobile, and Ericsson with our in-house engineers, data scientists, and IT specialists all working closely. The support from SailGP's leadership was also crucial in securing the necessary resources. Did anyone let you down? Rather than seeing it as being let down, I'd say there were unexpected challenges with some technology providers who underestimated the complexity of what we needed. However, we adapted by seeking alternative solutions and working collaboratively to overcome the hurdles. What advice do you have for other leaders who may face a similar challenge? Related:Embrace adaptability. No matter how well you plan, unforeseen challenges will arise, so build flexible solutions. Leverage partnerships. Collaborate with the best in the industry to ensure you have the expertise needed. Stay ahead of technology trends. The landscape is constantly evolving; being proactive rather than reactive is key. Prioritize resilience. Build redundancy into critical systems to ensure continuity even in the face of disruptions. Is there anything else you would like to add? SailGP is as much a technology company as it is a sports league. The intersection of innovation and competition drives us forward and solving challenges like these is what makes this role both demanding and incredibly rewarding. About the AuthorJohn EdwardsTechnology Journalist & AuthorJohn Edwards is a veteran business technology journalist. His work has appeared in The New York Times, The Washington Post, and numerous business and technology publications, including Computerworld, CFO Magazine, IBM Data Management Magazine, RFID Journal, and Electronic Design. He has also written columns for The Economist's Business Intelligence Unit and PricewaterhouseCoopers' Communications Direct. John has authored several books on business technology topics. His work began appearing online as early as 1983. Throughout the 1980s and 90s, he wrote daily news and feature articles for both the CompuServe and Prodigy online services. His "Behind the Screens" commentaries made him the world's first known professional blogger.See more from John EdwardsWebinarsMore WebinarsReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like

John Edwards, Technology Journalist & AuthorJune 5, 20254 Min ReadSailGP Australia, USA, and Great Britain racing on San Francisco Bay, CaliforniaDannaphotos via Alamy StockWarren Jones is CTO at SailGP, the organizer of what he describes as the world's most exciting race on water. The event features high-tech F50 boats that speed across the waves at 100 kilometers-per-hour (62 miles-per-hour).  Working in cooperation with Oracle, Jones focuses on innovative solutions for remote broadcast production, data management and distribution, and a newly introduced fan engagement platform. He also leads the team that has won an IBC Innovation Awards for its ambitious and ground-breaking remote production strategy. Among the races Jones organizes is the Rolex SailGP Championship, a global competition featuring national teams battling each other in identical high-tech, high-speed 50-foot foiling catamarans at celebrated venues around the world. The event attracts the sport's top athletes, with national pride, personal glory, and bonus prize money of $12.8 million at stake. Jones also supports event and office infrastructures in London and New York, and at each of the global grand prix events over the course of the season. Prior to joining SailGP, he was IT leader at the America's Cup Event Authority and Oracle Racing. In an online interview, Jones discusses the challenges he faces in bringing reliable data services to event vessels, as well as onshore officials and fans. Related:Warren JonesWhat's the biggest challenge you've faced during your tenure? One of the biggest challenges I faced was ensuring real-time data transmission from our high-performance F50 foiling catamarans to teams, broadcasters, and fans worldwide. SailGP relies heavily on technology to deliver high-speed racing insights, but ensuring seamless connectivity across different venues with variable conditions was a significant hurdle. What caused the problem? The challenge arose due to a combination of factors. The high speeds and dynamic nature of the boats made data capture and transmission difficult. Varying network infrastructure at different race locations created connectivity issues. The need to process and visualize massive amounts of data in real time placed immense pressure on our systems. How did you resolve the problem? We tackled the issue by working with T-Mobile and Ericsson in a robust and adaptive telemetry system capable of transmitting data with minimal latency over 5G. Deploying custom-built race management software that could process and distribute data efficiently [was also important]. Working closely with our global partner Oracle, we optimized Cloud Compute with the Oracle Cloud.  Related:What would have happened if the problem wasn't quickly resolved? Spectator experience would have suffered. Teams rely on real-time analytics for performance optimization, and broadcasters need accurate telemetry for storytelling. A failure here could have resulted in delays, miscommunication, and a diminished fan experience. How long did it take to resolve the problem? It was an ongoing challenge that required continuous innovation. The initial solution took several months to implement, but we’ve refined and improved it over multiple seasons as technology advances and new challenges emerge. Who supported you during this challenge? This was a team effort -- with our partners Oracle, T-Mobile, and Ericsson with our in-house engineers, data scientists, and IT specialists all working closely. The support from SailGP's leadership was also crucial in securing the necessary resources. Did anyone let you down? Rather than seeing it as being let down, I'd say there were unexpected challenges with some technology providers who underestimated the complexity of what we needed. However, we adapted by seeking alternative solutions and working collaboratively to overcome the hurdles. What advice do you have for other leaders who may face a similar challenge? Related:Embrace adaptability. No matter how well you plan, unforeseen challenges will arise, so build flexible solutions. Leverage partnerships. Collaborate with the best in the industry to ensure you have the expertise needed. Stay ahead of technology trends. The landscape is constantly evolving; being proactive rather than reactive is key. Prioritize resilience. Build redundancy into critical systems to ensure continuity even in the face of disruptions. Is there anything else you would like to add? SailGP is as much a technology company as it is a sports league. The intersection of innovation and competition drives us forward and solving challenges like these is what makes this role both demanding and incredibly rewarding. About the AuthorJohn EdwardsTechnology Journalist & AuthorJohn Edwards is a veteran business technology journalist. His work has appeared in The New York Times, The Washington Post, and numerous business and technology publications, including Computerworld, CFO Magazine, IBM Data Management Magazine, RFID Journal, and Electronic Design. He has also written columns for The Economist's Business Intelligence Unit and PricewaterhouseCoopers' Communications Direct. John has authored several books on business technology topics. His work began appearing online as early as 1983. Throughout the 1980s and 90s, he wrote daily news and feature articles for both the CompuServe and Prodigy online services. His "Behind the Screens" commentaries made him the world's first known professional blogger.See more from John EdwardsWebinarsMore WebinarsReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like

Google says the update to its Gemini 2.5 Pro preview model is better at certain programming tasks and builds on the upgrade to Gemini 2.5 Pro the company announced around a month ago.

The drama between US president Donald Trump and his former buddy-in-chief Elon Musk is far from over.As ABC reported today, now that he's been summarily retired from the White House, the billionaire SpaceX boss has been privately venting his frustrations at Trump. One particularly stinging betrayal, per the network's reporting: Trump's sudden withdrawal of Musk's buddy and financial benefactor, Jared Isaacman, from consideration to be the next NASA administrator.As the day progressed, Musk's tension with Trump exploded into public view as history's richest man tweeted or amplified no less than 25 posts blasting Trump's "big, beautiful" tax and spending bill, which takes the form of yet another piece of legislation meant to gut assistance for the poorest Americans while siphoning money to the ultra-wealthy.However, that isn't Musk's issue with the package. Instead, his commentary is centered on the bill's impact on the US national deficit — something he tried and failed to curb in any meaningful way during his time as a pay-to-play government operative.On X-formerly-Twitter, Musk's frenzied posts range from Rand Paul interview clips to hysterical conspiracy peddling. ("America is in the fast lane to debt slavery," he fomented at one point.)"Call your Senator, call your Congressman, bankrupting America is NOT ok!" Musk urged his 220 million followers on X-formerly-Twitter. "KILL the BILL."The tech titan also went out of his way to amplify some low-res footage of Warren Buffett explaining his theoretical plan to reduce the deficit. "Anytime there's a deficit of more than 3 percent of GDP, all sitting members of Congress are ineligible for reelection," the investor suggested, to which Musk replied that "this is the way."Needless to say, a month ago — or even a week — this type of assault on Trump by Musk would have been unthinkable. The bill is also a baffling hill for the tech mogul to die on, especially considering that government spending is what made his tech dynasty possible in the first place. It's more plausible, as Axios notes, that national debt is a smokescreen for other issues nearer to Musk's heart. Most notably, the big beautiful bill is set to cut the electric vehicle tax credits that made Tesla the automotive giant it is today. (Confusingly, as recently as last year, Musk was publicly calling for an end to the tax credit — but that was before his activities in the White House eviscerated Tesla's brand image and sent it deeply into the red.)Of course, that raises another intriguing possibility: that at least some portion of Musk's rage at Trump is essentially kayfabe, with Musk betting that a break from the president could resuscitate at least some enthusiasm for the Tesla brand among the left-leaning customers that he's successfully turned off over the past year.If so, it's not hard to imagine Musk instead accidentally alienating more or less everybody — failing to get the environmental left back on board, but also creating a powerful enemy with Trump, who holds immense power over the government contracts and policy that keep Musk's business empire afloat.More on politics: Elon Musk’s Dad Slams His Son's Whimpering Failure at PoliticsShare This Article

SVG animations take me back to the Hanna-Barbera cartoons I watched as a kid. Shows like Wacky Races, The Perils of Penelope Pitstop, and, of course, Yogi Bear. They inspired me to lovingly recreate some classic Toon Titles using CSS, SVG, and SMIL animations. But getting animations to load quickly and work smoothly needs more than nostalgia. It takes clean design, lean code, and a process that makes complex SVGs easier to animate. Here’s how I do it. Start Clean And Design With Optimisation In Mind Keeping things simple is key to making SVGs that are optimised and ready to animate. Tools like Adobe Illustrator convert bitmap images to vectors, but the output often contains too many extraneous groups, layers, and masks. Instead, I start cleaning in Sketch, work from a reference image, and use the Pen tool to create paths. Tip: Affinity Designer (UK) and Sketch (Netherlands) are alternatives to Adobe Illustrator and Figma. Both are independent and based in Europe. Sketch has been my default design app since Adobe killed Fireworks. Beginning With Outlines For these Toon Titles illustrations, I first use the Pen tool to draw black outlines with as few anchor points as possible. The more points a shape has, the bigger a file becomes, so simplifying paths and reducing the number of points makes an SVG much smaller, often with no discernible visual difference. Bearing in mind that parts of this Yogi illustration will ultimately be animated, I keep outlines for this Bewitched Bear’s body, head, collar, and tie separate so that I can move them independently. The head might nod, the tie could flap, and, like in those classic cartoons, Yogi’s collar will hide the joins between them. Drawing Simple Background Shapes With the outlines in place, I use the Pen tool again to draw new shapes, which fill the areas with colour. These colours sit behind the outlines, so they don’t need to match them exactly. The fewer anchor points, the smaller the file size. Sadly, neither Affinity Designer nor Sketch has tools that can simplify paths, but if you have it, using Adobe Illustrator can shave a few extra kilobytes off these background shapes. Optimising The Code It’s not just metadata that makes SVG bulkier. The way you export from your design app also affects file size. Exporting just those simple background shapes from Adobe Illustrator includes unnecessary groups, masks, and bloated path data by default. Sketch’s code is barely any better, and there’s plenty of room for improvement, even in its SVGO Compressor code. I rely on Jake Archibald’s SVGOMG, which uses SVGO v3 and consistently delivers the best optimised SVGs. Layering SVG Elements My process for preparing SVGs for animation goes well beyond drawing vectors and optimising paths — it also includes how I structure the code itself. When every visual element is crammed into a single SVG file, even optimised code can be a nightmare to navigate. Locating a specific path or group often feels like searching for a needle in a haystack. That’s why I develop my SVGs in layers, exporting and optimising one set of elements at a time — always in the order they’ll appear in the final file. This lets me build the master SVG gradually by pasting it in each cleaned-up section. For example, I start with backgrounds like this gradient and title graphic. Instead of facing a wall of SVG code, I can now easily identify the background gradient’s path and its associated linearGradient, and see the group containing the title graphic. I take this opportunity to add a comment to the code, which will make editing and adding animations to it easier in the future: <svg ...> <defs> <!-- ... --> </defs> <path fill="url(#grad)" d="…"/> <!-- TITLE GRAPHIC --> <g> <path … /> <!-- ... --> </g> </svg> Next, I add the blurred trail from Yogi’s airborne broom. This includes defining a Gaussian Blur filter and placing its path between the background and title layers: <svg ...> <defs> <linearGradient id="grad" …>…</linearGradient> <filter id="trail" …>…</filter> </defs> <!-- GRADIENT --> <!-- TRAIL --> <path filter="url(#trail)" …/> <!-- TITLE GRAPHIC --> </svg> Then come the magical stars, added in the same sequential fashion: <svg ...> <!-- GRADIENT --> <!-- TRAIL --> <!-- STARS --> <!-- TITLE GRAPHIC --> </svg> To keep everything organised and animation-ready, I create an empty group that will hold all the parts of Yogi: <g id="yogi">...</g> Then I build Yogi from the ground up — starting with background props, like his broom: <g id="broom">...</g> Followed by grouped elements for his body, head, collar, and tie: <g id="yogi"> <g id="broom">…</g> <g id="body">…</g> <g id="head">…</g> <g id="collar">…</g> <g id="tie">…</g> </g> Since I export each layer from the same-sized artboard, I don’t need to worry about alignment or positioning issues later on — they’ll all slot into place automatically. I keep my code clean, readable, and ordered logically by layering elements this way. It also makes animating smoother, as each component is easier to identify. Reusing Elements With <use> When duplicate shapes get reused repeatedly, SVG files can get bulky fast. My recreation of the “Bewitched Bear” title card contains 80 stars in three sizes. Combining all those shapes into one optimised path would bring the file size down to 3KB. But I want to animate individual stars, which would almost double that to 5KB: <g id="stars"> <path class="star-small" fill="#eae3da" d="..."/> <path class="star-medium" fill="#eae3da" d="..."/> <path class="star-large" fill="#eae3da" d="..."/> <!-- ... --> </g> Moving the stars’ fill attribute values to their parent group reduces the overall weight a little: <g id="stars" fill="#eae3da"> <path class="star-small" d="…"/> <path class="star-medium" d="…"/> <path class="star-large" d="…"/> <!-- ... --> </g> But a more efficient and manageable option is to define each star size as a reusable template: <defs> <path id="star-large" fill="#eae3da" fill-rule="evenodd" d="…"/> <path id="star-medium" fill="#eae3da" fill-rule="evenodd" d="…"/> <path id="star-small" fill="#eae3da" fill-rule="evenodd" d="…"/> </defs> With this setup, changing a star’s design only means updating its template once, and every instance updates automatically. Then, I reference each one using <use> and position them with x and y attributes: <g id="stars"> <!-- Large stars --> <use href="#star-large" x="1575" y="495"/> <!-- ... --> <!-- Medium stars --> <use href="#star-medium" x="1453" y="696"/> <!-- ... --> <!-- Small stars --> <use href="#star-small" x="1287" y="741"/> <!-- ... --> </g> This approach makes the SVG easier to manage, lighter to load, and faster to iterate on, especially when working with dozens of repeating elements. Best of all, it keeps the markup clean without compromising on flexibility or performance. Adding Animations The stars trailing behind Yogi’s stolen broom bring so much personality to the animation. I wanted them to sparkle in a seemingly random pattern against the dark blue background, so I started by defining a keyframe animation that cycles through different opacity levels: @keyframes sparkle { 0%, 100% { opacity: .1; } 50% { opacity: 1; } } Next, I applied this looping animation to every use element inside my stars group: #stars use { animation: sparkle 10s ease-in-out infinite; } The secret to creating a convincing twinkle lies in variation. I staggered animation delays and durations across the stars using nth-child selectors, starting with the quickest and most frequent sparkle effects: /* Fast, frequent */ #stars use:nth-child(n + 1):nth-child(-n + 10) { animation-delay: .1s; animation-duration: 2s; } From there, I layered in additional timings to mix things up. Some stars sparkle slowly and dramatically, others more randomly, with a variety of rhythms and pauses: /* Medium */ #stars use:nth-child(n + 11):nth-child(-n + 20) { ... } /* Slow, dramatic */ #stars use:nth-child(n + 21):nth-child(-n + 30) { ... } /* Random */ #stars use:nth-child(3n + 2) { ... } /* Alternating */ #stars use:nth-child(4n + 1) { ... } /* Scattered */ #stars use:nth-child(n + 31) { ... } By thoughtfully structuring the SVG and reusing elements, I can build complex-looking animations without bloated code, making even a simple effect like changing opacity sparkle. Then, for added realism, I make Yogi’s head wobble: @keyframes headWobble { 0% { transform: rotate(-0.8deg) translateY(-0.5px); } 100% { transform: rotate(0.9deg) translateY(0.3px); } } #head { animation: headWobble 0.8s cubic-bezier(0.5, 0.15, 0.5, 0.85) infinite alternate; } His tie waves: @keyframes tieWave { 0%, 100% { transform: rotateZ(-4deg) rotateY(15deg) scaleX(0.96); } 33% { transform: rotateZ(5deg) rotateY(-10deg) scaleX(1.05); } 66% { transform: rotateZ(-2deg) rotateY(5deg) scaleX(0.98); } } #tie { transform-style: preserve-3d; animation: tieWave 10s cubic-bezier(0.68, -0.55, 0.27, 1.55) infinite; } His broom swings: @keyframes broomSwing { 0%, 20% { transform: rotate(-5deg); } 30% { transform: rotate(-4deg); } 50%, 70% { transform: rotate(5deg); } 80% { transform: rotate(4deg); } 100% { transform: rotate(-5deg); } } #broom { animation: broomSwing 4s cubic-bezier(0.5, 0.05, 0.5, 0.95) infinite; } And, finally, Yogi himself gently rotates as he flies on his magical broom: @keyframes yogiWobble { 0% { transform: rotate(-2.8deg) translateY(-0.8px) scale(0.998); } 30% { transform: rotate(1.5deg) translateY(0.3px); } 100% { transform: rotate(3.2deg) translateY(1.2px) scale(1.002); } } #yogi { animation: yogiWobble 3.5s cubic-bezier(.37, .14, .3, .86) infinite alternate; } All these subtle movements bring Yogi to life. By developing structured SVGs, I can create animations that feel full of character without writing a single line of JavaScript. Try this yourself: See the Pen Bewitched Bear CSS/SVG animation [forked] by Andy Clarke. Conclusion Whether you’re recreating a classic title card or animating icons for an interface, the principles are the same: Start clean, Optimise early, and Structure everything with animation in mind. SVGs offer incredible creative freedom, but only if kept lean and manageable. When you plan your process like a production cell — layer by layer, element by element — you’ll spend less time untangling code and more time bringing your work to life.

Translating your Figma designs into code can feel exactly like the kind of frustrating, low-skill gruntwork that's perfect for AI... except that most of us have also watched AI butcher hopeful screenshots into unresponsive spaghetti.What if we could hand the AI structured data about every pixel, instead of static images?This is how Figma Model Context Protocol (MCP) servers work. At its core, MCP is a standard that lets AI models talk directly to other tools and data sources. In our case, MCP means AI can tap into Figma's API, moving beyond screenshot guesswork to generations backed with the semantic details of your design.Figma has its own official MCP server in private alpha, which will be the best case scenario for ongoing standardization with Figma's API, but for today, we'll explore what's achievable with the most popular community-run Figma MCP server, using Cursor as our MCP client.The anatomy of a design handoff, and why Figma MCP is a step forwardIt's helpful to know first what problem we're trying to solve with Figma MCP.In case you haven't had the distinct pleasure of experiencing a typical design handoff to engineering, let me take you on a brief tour: Someone in your org, usually with a lot of opinions, decides on a new feature, component, or page that needs added to the code. Your design team creates a mockup. It is beautiful and full of potential. If you're really lucky, it's even practical to implement in code. You're often not really lucky. You begin to think how to implement the design. Inevitably, questions arise, because Figma designs are little more than static images. What happens when you hover this button? Is there an animation on scroll? Is this still legible in tablet size? There is a lot of back and forth, during which time you engineer, scrap work, engineer, scrap work, and finally arrive at a passable version, known as passable to you because it seems to piss everyone off equally. Now, finally, you can do the fun part: finesse. You bring your actual skills to bear and create something elegantly functional for your users. There may be more iterations after this, but you're happy for now.Sound familiar? Hopefully, it goes better at your org.Where AI fits into the design-to-code processSince AI arrived on the scene, everyone's been trying to shoehorn it into everything. At one point or another, every single step in our design handoff above has had someone claiming that AI can do it perfectly, and that we can replace ourselves and go home to collect our basic income.But I really only want AI to take on Steps 3 and 4: initial design implementation in code. For the rest, I very much like humans in charge. This is why something like a design-to-code AI excites me. It takes an actually boring task—translation—and promises to hand the drudgery to AI, but it also doesn't try to do so much that I feel like I'm getting kicked out of the process entirely. AI scaffolds the boilerplate, and I can just edit the details.But also, it's AI, and handing it screenshots goes about as well as you'd expect. It's like if you've ever tried to draw a friend's face from memory. Sure, you can kinda tell it's them.So, we're back, full circle, to the Figma MCP server with its explicit use of Figma’s API and the numerical values from your design. Let's try it and see how much better the results may be.How to use the Figma MCP serverOkay, down to business. Feel free to follow along. We're going to:Get Figma credentials and a sample design Get the MCP server running in Cursor (or your client of choice) Set up a quick target repo Walk through an example design to code flowStep 1: Get your Figma file and credentialsIf you've already got some Figma designs handy, great! It's more rewarding to see your own designs come to life. Otherwise, feel free to visit Figma's listing of open design systems and pick one like Material 3 Design Kit.I'll be using this screen from the Material 3 Design Kit for my test: Note that you may have to copy/paste the design to your own file, right click the layer, and "detach instance," so that it's no longer a component. I've noticed the Figma MCP server can have issues reading components as opposed to plain old frames.Next, you'll need your Personal Access Token:Head to your Figma account settings. Go to the Security tab. Generate a new token with the permissions and expiry date you prefer.Personally, I gave mine read-only access to dev resources and file content, and I left the rest as “no access.”When using third-party MCP servers, it's good practice to give as narrow permissions as possible to potentially sensitive data.Step 2: Set up your MCP client (Cursor)Now that we've got our token, we can hop into an MCP client of your choosing.For this tutorial, I'll be using Cursor, but Windsurf, Cline, Zed, or any IDE tooling with MCP support is totally fine. (Here’s a breakdown of the differences.) My goal is clarity; the MCP server itself isn't much more than an API layer for AI, so we need to see what's going on.In Cursor, head to Cursor Settings -> MCP -> Add new global MCP server. Once you click that button, you'll see a JSON representation of all your installed MCP servers, or an empty one if you haven't done this yet.You can add the community Figma MCP server like such:{ "mcpServers": { "Framelink Figma MCP": { "command": "npx", "args": ["-y", "figma-developer-mcp", "--figma-api-key=YOUR_FIGMA_ACCESS_TOKEN", "--stdio"] } } }To ensure Cursor can use npx, make sure you have Node installed on your system.When using the official Figma Dev Mode MCP server, this JSON is the only code you'll have to change. Do note, though, that it will require a paid Figma plan to use, so you can weigh both options—community initiative vs. standardized support.Now, when you prompt Cursor in Agent mode, you'll see the AI make tool calls to the MCP server when you say things like, "Use the Figma MCP to..."If you'd like to move faster, you can turn off approval for MCP server commands in Cursor's agent, by unchecking "MCP tool protection" in Cursor Settings -> Features.Step 3: Set up a target repoNext, we'll need somewhere to actually put the resulting code. When using this workflow, you're not always going to be starting from scratch; good design to code means implementing Figma designs in existing repos.For our purposes today, I'll just spin up a Next.js starter template, with npx create-next-app@latest.Step 4: ShowtimeOkay, we should be all set. Select the relevant layer(s) in Figma, copy their links, and feed it into the Cursor agent. My prompt is just:Can you replace my homepage with this Figma design? It should be a basic chat interface. Figma frame: <https://www.figma.com/design/CPDcrzkVChAzQ3q1pC5mXd/Figma-MCP-vs.-Builder-Fusion?node-id=2-215&t=K6v805pKyoU4FqdA-4> Please use the Figma MCP server. Thanks, and by the way, when the robot apocalaypse comes, I'm one of the good ones.Let's see it in action:And here's an example of some of the resulting code that it made:{/* Message Input */} <div className="p-6 bg-white border-t border-[#E8DEF8]"> <div className="flex items-center space-x-4"> <button className="p-2 rounded-full hover:bg-[#F3EDF7]"> <svg className="w-6 h-6 text-[#1D1B20]" fill="currentColor" viewBox="0 0 24 24"> <path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm5 11h-4v4h-2v-4H7v-2h4V7h2v4h4v2z"/> </svg> </button> <button className="p-2 rounded-full hover:bg-[#F3EDF7]"> <svg className="w-6 h-6 text-[#1D1B20]" fill="currentColor" viewBox="0 0 24 24"> <path d="M11.99 2C6.47 2 2 6.48 2 12s4.47 10 9.99 10C17.52 22 22 17.52 22 12S17.52 2 11.99 2zM12 20c-4.42 0-8-3.58-8-8s3.58-8 8-8 8 3.58 8 8-3.58 8-8 8zm3.5-9c.83 0 1.5-.67 1.5-1.5S16.33 8 15.5 8 14 8.67 14 9.5s.67 1.5 1.5 1.5zm-7 0c.83 0 1.5-.67 1.5-1.5S9.33 8 8.5 8 7 8.67 7 9.5 7.67 11 8.5 11zm3.5 6.5c2.33 0 4.31-1.46 5.11-3.5H6.89c.8 2.04 2.78 3.5 5.11 3.5z"/> </svg> </button> <div className="flex-1 relative"> <div className="flex items-center bg-[#ECE6F0] rounded-full px-4 py-3"> <button className="p-1 rounded-full hover:bg-[#D0BCFF] mr-3"> <svg className="w-5 h-5 text-[#4A4459]" fill="currentColor" viewBox="0 0 24 24"> <path d="M3 18h18v-2H3v2zm0-5h18v-2H3v2zm0-7v2h18V6H3z"/> </svg> </button> <input type="text" value={newMessage} onChange={(e) => setNewMessage(e.target.value)} onKeyPress={handleKeyPress} placeholder="Type a message..." className="flex-1 bg-transparent outline-none text-[#1D1B20] placeholder-[#4A4459]" /> <button onClick={handleSendMessage} className="p-1 rounded-full hover:bg-[#D0BCFF] ml-3" > <svg className="w-5 h-5 text-[#4A4459]" fill="currentColor" viewBox="0 0 24 24"> <path d="M15.5 14h-.79l-.28-.27C15.41 12.59 16 11.11 16 9.5 16 5.91 13.09 3 9.5 3S3 5.91 3 9.5 5.91 16 9.5 16c1.61 0 3.09-.59 4.23-1.57l.27.28v.79l5 4.99L20.49 19l-4.99-5zm-6 0C7.01 14 5 11.99 5 9.5S7.01 5 9.5 5 14 7.01 14 9.5 11.99 14 9.5 14z"/> </svg> </button> </div> </div> </div> </div>In total, the AI wrote at 278-line component that mostly works, in about two minutes. Honestly, not bad for a single shot.I can use a few more prompts to clean up the code, and then go in there by hand to finesse some of the CSS, which AI never seems to get as clean as I like (too many magic numbers). But it definitely saves me time over setting this all up by hand.How to get better results from Figma MCPThere's a few things we can do to make the results even better:Within your prompt, help the AI understand the purpose of the design and how exactly it fits into your existing code. Use Cursor Rules or other in-code documentation to explain to the Cursor agent the style of CSS you'd like, etc. Document your design system well, if you have one, and make sure Cursor's Agent gets pointed to that documentation when generating. Don't overwhelm the agent. Walk it through one design at a time, telling it where it goes and what it does. The process isn't fully automatic yet.Basically, it all boils down to more context, given granularly. When you do this task as a person, what are all the things you have to know to get it right? Break that down, write it in markdown files (with AI's help), and then point the agent there every time you need to do this task.Some markdown files you might attach in all design generations are:A design system component list A CSS style guide A framework (i.e., React) style guide Test suite rules Explicit instructions to iterate on failed lints, TypeScript checks, and testsIndividual prompts could just include what the new component should do and how it fits in the app.Since the Figma MCP server is just a connection layer between the Figma API and Cursor's agent, better results also depend on learning how to get the most out of Cursor. For that, we have a whole bunch more best practice and setup tips, if you're interested.More than anything, don't expect perfect results. Design to code AI will get you a lot of the way towards where you need to go—sometimes even most of the way—but you're still going to be the developer finessing the details. The goal is just to save a little time. You're not trying to replace yourself.Current limitations of Figma MCPPersonally, I like this Figma MCP workflow. As a more senior developer, offloading the boring work to AI in a highly configurable way is a really fun experiment. But there's still a lot of limitations.MCP is a dev-only playground. Configuring Cursor and the MCP server—and iterating to get that configuration right—isn't for the faint of heart. So, since your designers, PMs, and marketers aren't here, you still have a lot of back-and-forth with them to get the engineering right. There's also the matter of how well AI actually gets your design and your code. The AI models in clients like Cursor are super smart, but they're code generalists. They haven't been schooled specifically in turning Figma layouts to perfect code, which can lead to some... creative... interpretations. Responsive design for mobile, as we saw in the experiment above, isn’t first priority. It's not a deterministic process. Even if AI has perfect access to Figma data, it can still go off the rails. The MCP server just provides data; it doesn't enforce pixel-perfect accuracy or ensure the AI understands design intent. Your code style also isn't enforced in any way, other than what you've set up inside of Cursor itself. Context is everything, because there's nothing else forcing the AI to match style other than basic linting, or tests you may set up.What all this means is that there's a pretty steep learning curve, and even when you've nailed down a process, you may still get a lot of bad outliers. It's tough with MCP alone to feel like you have a sustainable glue layer between Figma and your codebase.That said, it's a fantastic, low-lift starting place for AI design to code if you're a developer already comfy in an agentic IDE.Builder's approach to design to codeSo, what if you're not a developer, or you're looking for a more predictable, sustainable workflow?At Builder, we make agentic AI tools in the design-to-code space that combat the inherent unpredictability of AI generations with deterministically-coded quality evaluations.Figma to code is a solved problem for us already. Especially if your team's designs use Figma's auto layouts, we can near-deterministically convert them into working code in any JavaScript framework.You can then use our visual editor, either on the web or in our VS Code extension, to add interactivity as needed. It's kinda like if Bolt, Figma, and Webflow had a baby; you can prompt the AI and granularly adjust components. Vibe code DOOM or just fix your padding. Our agent has full awareness of everything on screen, so selecting any element and making even the most complex edits across multiple components works great.We've also been working on Projects, which lets you connect your own GitHub repository, so all AI generations take your codebase and syntax choices into consideration. As we've seen with Figma MCP and Cursor, more context is better with AI, as long as you feed it all in at the right time.Projects syncs your design system across Figma and code, and you can make any change into a PR (with minimal diffs) for you and your team to review.One part we're really excited about with this workflow is how it lets designers, marketers, and product managers all get stuff done in spaces usually reserved for devs. As we've been dogfooding internally, we've seen boards of Jira papercut tickets just kinda... vanish.Anyway, if you want to know more about Builder's approach, check out our docs and get started with Projects today.So, is the Figma MCP worth your time?Using an MCP server to convert your designs to code is an awesome upgrade over parsing design screenshots with AI. Its data-rich approach gets you much farther along, much faster than developer effort alone.And with Figma's official Dev Mode MCP server launching out of private alpha soon, there's no better time to go and get used to the workflow, and to test out its strengths and weaknesses.Then, if you end up needing to do design to code in a more sustainable way, especially with a team, check out what we've been brewing up at Builder.Happy design engineering!

Smart TVs, take note Breaking down why Apple TVs are privacy advocates’ go-to streaming device Using the Apple TV app or an Apple account means giving Apple more data, though. Scharon Harding – Jun 1, 2025 7:35 am | 22 Credit: Aurich Lawson | Getty Images Credit: Aurich Lawson | Getty Images Story text Size Small Standard Large Width * Standard Wide Links Standard Orange * Subscribers only   Learn more Every time I write an article about the escalating advertising and tracking on today's TVs, someone brings up Apple TV boxes. Among smart TVs, streaming sticks, and other streaming devices, Apple TVs are largely viewed as a safe haven. "Just disconnect your TV from the Internet and use an Apple TV box." That's the common guidance you'll hear from Ars readers for those seeking the joys of streaming without giving up too much privacy. Based on our research and the experts we've consulted, that advice is pretty solid, as Apple TVs offer significantly more privacy than other streaming hardware providers. But how private are Apple TV boxes, really? Apple TVs don't use automatic content recognition (ACR, a user-tracking technology leveraged by nearly all smart TVs and streaming devices), but could that change? And what about the software that Apple TV users do use—could those apps provide information about you to advertisers or Apple? In this article, we'll delve into what makes the Apple TV's privacy stand out and examine whether users should expect the limited ads and enhanced privacy to last forever. Apple TV boxes limit tracking out of the box One of the simplest ways Apple TVs ensure better privacy is through their setup process, during which you can disable Siri, location tracking, and sending analytics data to Apple. During setup, users also receive several opportunities to review Apple's data and privacy policies. Also off by default is the boxes' ability to send voice input data to Apple. Most other streaming devices require users to navigate through pages of settings to disable similar tracking capabilities, which most people are unlikely to do. Apple’s approach creates a line of defense against snooping, even for those unaware of how invasive smart devices can be. Apple TVs running tvOS 14.5 and later also make third-party app tracking more difficult by requiring such apps to request permission before they can track users. "If you choose Ask App Not to Track, the app developer can’t access the system advertising identifier (IDFA), which is often used to track," Apple says. "The app is also not permitted to track your activity using other information that identifies you or your device, like your email address." Users can access the Apple TV settings and disable the ability of third-party apps to ask permission for tracking. However, Apple could further enhance privacy by enabling this setting by default. The Apple TV also lets users control which apps can access the set-top box's Bluetooth functionality, photos, music, and HomeKit data (if applicable), and the remote's microphone. "Apple’s primary business model isn’t dependent on selling targeted ads, so it has somewhat less incentive to harvest and monetize incredible amounts of your data," said RJ Cross, director of the consumer privacy program at the Public Interest Research Group (PIRG). "I personally trust them more with my data than other tech companies." What if you share analytics data? If you allow your Apple TV to share analytics data with Apple or app developers, that data won't be personally identifiable, Apple says. Any collected personal data is "not logged at all, removed from reports before they’re sent to Apple, or protected by techniques, such as differential privacy," Apple says. Differential privacy, which injects noise into collected data, is one of the most common methods used for anonymizing data. In support documentation (PDF), Apple details its use of differential privacy: The first step we take is to privatize the information using local differential privacy on the user’s device. The purpose of privatization is to assure that Apple’s servers don't receive clear data. Device identifiers are removed from the data, and it is transmitted to Apple over an encrypted channel. The Apple analysis system ingests the differentially private contributions, dropping IP addresses and other metadata. The final stage is aggregation, where the privatized records are processed to compute the relevant statistics, and the aggregate statistics are then shared with relevant Apple teams. Both the ingestion and aggregation stages are performed in a restricted access environment so even the privatized data isn’t broadly accessible to Apple employees. What if you use an Apple account with your Apple TV? Another factor to consider is Apple's privacy policy regarding Apple accounts, formerly Apple IDs. Apple support documentation says you "need" an Apple account to use an Apple TV, but you can use the hardware without one. Still, it's common for people to log into Apple accounts on their Apple TV boxes because it makes it easier to link with other Apple products. Another reason someone might link an Apple TV box with an Apple account is to use the Apple TV app, a common way to stream on Apple TV boxes. So what type of data does Apple harvest from Apple accounts? According to its privacy policy, the company gathers usage data, such as "data about your activity on and use of" Apple offerings, including "app launches within our services...; browsing history; search history; [and] product interaction." Other types of data Apple may collect from Apple accounts include transaction information (Apple says this is "data about purchases of Apple products and services or transactions facilitated by Apple, including purchases on Apple platforms"), account information ("including email address, devices registered, account status, and age"), device information (including serial number and browser type), contact information (including physical address and phone number), and payment information (including bank details). None of that is surprising considering the type of data needed to make an Apple account work. Many Apple TV users can expect Apple to gather more data from their Apple account usage on other devices, such as iPhones or Macs. However, if you use the same Apple account across multiple devices, Apple recognizes that all the data it has collected from, for example, your iPhone activity, also applies to you as an Apple TV user. A potential workaround could be maintaining multiple Apple accounts. With an Apple account solely dedicated to your Apple TV box and Apple TV hardware and software tracking disabled as much as possible, Apple would have minimal data to ascribe to you as an Apple TV owner. You can also use your Apple TV box without an Apple account, but then you won't be able to use the Apple TV app, one of the device's key features. Data collection via the Apple TV app You can download third-party apps like Netflix and Hulu onto an Apple TV box, but most TV and movie watching on Apple TV boxes likely occurs via the Apple TV app. The app is necessary for watching content on the Apple TV+ streaming service, but it also drives usage by providing access to the libraries of many (but not all) popular streaming apps in one location. So understanding the Apple TV app’s privacy policy is critical to evaluating how private Apple TV activity truly is. As expected, some of the data the app gathers is necessary for the software to work. That includes, according to the app's privacy policy, "information about your purchases, downloads, activity in the Apple TV app, the content you watch, and where you watch it in the Apple TV app and in connected apps on any of your supported devices." That all makes sense for ensuring that the app remembers things like which episode of Severance you're on across devices. Apple collects other data, though, that isn't necessary for functionality. It says it gathers data on things like the "features you use (for example, Continue Watching or Library)," content pages you view, how you interact with notifications, and approximate location information (that Apple says doesn't identify users) to help improve the app. Additionally, Apple tracks the terms you search for within the app, per its policy: We use Apple TV search data to improve models that power Apple TV. For example, aggregate Apple TV search queries are used to fine-tune the Apple TV search model. This data usage is less intrusive than that of other streaming devices, which might track your activity and then sell that data to third-party advertisers. But some people may be hesitant about having any of their activities tracked to benefit a multi-trillion-dollar conglomerate. Data collected from the Apple TV app used for ads By default, the Apple TV app also tracks "what you watch, your purchases, subscriptions, downloads, browsing, and other activities in the Apple TV app" to make personalized content recommendations. Content recommendations aren't ads in the traditional sense but instead provide a way for Apple to push you toward products by analyzing data it has on you. You can disable the Apple TV app's personalized recommendations, but it's a little harder than you might expect since you can't do it through the app. Instead, you need to go to the Apple TV settings and then select Apps > TV > Use Play History > Off. The most privacy-conscious users may wish that personalized recommendations were off by default. Darío Maestro, senior legal fellow at the nonprofit Surveillance Technology Oversight Project (STOP), noted to Ars that even though Apple TV users can opt out of personalized content recommendations, "many will not realize they can." Apple can also use data it gathers on you from the Apple TV app to serve traditional ads. If you allow your Apple TV box to track your location, the Apple TV app can also track your location. That data can "be used to serve geographically relevant ads," according to the Apple TV app privacy policy. Location tracking, however, is off by default on Apple TV boxes. Apple's tvOS doesn't have integrated ads. For comparison, some TV OSes, like Roku OS and LG's webOS, show ads on the OS's home screen and/or when showing screensavers. But data gathered from the Apple TV app can still help Apple's advertising efforts. This can happen if you allow personalized ads in other Apple apps serving targeted apps, such as Apple News, the App Store, or Stocks. In such cases, Apple may apply data gathered from the Apple TV app, "including information about the movies and TV shows you purchase from Apple, to serve ads in those apps that are more relevant to you," the Apple TV app privacy policy says. Apple also provides third-party advertisers and strategic partners with "non-personal data" gathered from the Apple TV app: We provide some non-personal data to our advertisers and strategic partners that work with Apple to provide our products and services, help Apple market to customers, and sell ads on Apple’s behalf to display on the App Store and Apple News and Stocks. Apple also shares non-personal data from the Apple TV with third parties, such as content owners, so they can pay royalties, gauge how much people are watching their shows or movies, "and improve their associated products and services," Apple says. Apple's policy notes: For example, we may share non-personal data about your transactions, viewing activity, and region, as well as aggregated user demographics[,] such as age group and gender (which may be inferred from information such as your name and salutation in your Apple Account), to Apple TV strategic partners, such as content owners, so that they can measure the performance of their creative work [and] meet royalty and accounting requirements. When reached for comment, an Apple spokesperson told Ars that Apple TV users can clear their play history from the app. All that said, the Apple TV app still shares far less data with third parties than other streaming apps. Netflix, for example, says it discloses some personal information to advertising companies "in order to select Advertisements shown on Netflix, to facilitate interaction with Advertisements, and to measure and improve effectiveness of Advertisements." Warner Bros. Discovery says it discloses information about Max viewers "with advertisers, ad agencies, ad networks and platforms, and other companies to provide advertising to you based on your interests." And Disney+ users have Nielsen tracking on by default. What if you use Siri? You can easily deactivate Siri when setting up an Apple TV. But those who opt to keep the voice assistant and the ability to control Apple TV with their voice take somewhat of a privacy hit. According to the privacy policy accessible in Apple TV boxes' settings, Apple boxes automatically send all Siri requests to Apple's servers. If you opt into using Siri data to "Improve Siri and Dictation," Apple will store your audio data. If you opt out, audio data won't be stored, but per the policy: In all cases, transcripts of your interactions will be sent to Apple to process your requests and may be stored by Apple. Apple TV boxes also send audio and transcriptions of dictation input to Apple servers for processing. Apple says it doesn't store the audio but may store transcriptions of the audio. If you opt to "Improve Siri and Dictation," Apple says your history of voice requests isn't tied to your Apple account or email. But Apple is vague about how long it may store data related to voice input performed with the Apple TV if you choose this option. The policy states: Your request history, which includes transcripts and any related request data, is associated with a random identifier for up to six months and is not tied to your Apple Account or email address. After six months, you request history is disassociated from the random identifier and may be retained for up to two years. Apple may use this data to develop and improve Siri, Dictation, Search, and limited other language processing functionality in Apple products ... Apple may also review a subset of the transcripts of your interactions and this ... may be kept beyond two years for the ongoing improvements of products and services. Apple promises not to use Siri and voice data to build marketing profiles or sell them to third parties, but it hasn't always adhered to that commitment. In January, Apple agreed to pay $95 million to settle a class-action lawsuit accusing Siri of recording private conversations and sharing them with third parties for targeted ads. In 2019, contractors reported hearing private conversations and recorded sex via Siri-gathered audio. Outside of Apple, we've seen voice request data used questionably, including in criminal trials and by corporate employees. Siri and dictation data also represent additional ways a person's Apple TV usage might be unexpectedly analyzed to fuel Apple's business. Automatic content recognition Apple TVs aren't preloaded with automatic content recognition (ACR), an Apple spokesperson confirmed to Ars, another plus for privacy advocates. But ACR is software, so Apple could technically add it to Apple TV boxes via a software update at some point. Sherman Li, the founder of Enswers, the company that first put ACR in Samsung TVs, confirmed to Ars that it's technically possible for Apple to add ACR to already-purchased Apple boxes. Years ago, Enswers retroactively added ACR to other types of streaming hardware, including Samsung and LG smart TVs. (Enswers was acquired by Gracenote, which Nielsen now owns.) In general, though, there are challenges to adding ACR to hardware that people already own, Li explained: Everyone believes, in theory, you can add ACR anywhere you want at any time because it's software, but because of the way [hardware is] architected... the interplay between the chipsets, like the SoCs, and the firmware is different in a lot of situations. Li pointed to numerous variables that could prevent ACR from being retroactively added to any type of streaming hardware, "including access to video frame buffers, audio streams, networking connectivity, security protocols, OSes, and app interface communication layers, especially at different levels of the stack in these devices, depending on the implementation." Due to the complexity of Apple TV boxes, Li suspects it would be difficult to add ACR to already-purchased Apple TVs. It would likely be simpler for Apple to release a new box with ACR if it ever decided to go down that route. If Apple were to add ACR to old or new Apple TV boxes, the devices would be far less private, and the move would be highly unpopular and eliminate one of the Apple TV's biggest draws. However, Apple reportedly has a growing interest in advertising to streaming subscribers. The Apple TV+ streaming service doesn't currently show commercials, but the company is rumored to be exploring a potential ad tier. The suspicions stem from a reported meeting between Apple and the United Kingdom's ratings body, Barb, to discuss how it might track ads on Apple TV+, according to a July report from The Telegraph. Since 2023, Apple has also hired several prominent names in advertising, including a former head of advertising at NBCUniversal and a new head of video ad sales. Further, Apple TV+ is one of the few streaming services to remain ad-free, and it's reported to be losing Apple $1 billion per year since its launch. One day soon, Apple may have much more reason to care about advertising in streaming and being able to track the activities of people who use its streaming offerings. That has implications for Apple TV box users. "The more Apple creeps into the targeted ads space, the less I’ll trust them to uphold their privacy promises. You can imagine Apple TV being a natural progression for selling ads," PIRG's Cross said. Somewhat ironically, Apple has marketed its approach to privacy as a positive for advertisers. "Apple’s commitment to privacy and personal relevancy builds trust amongst readers, driving a willingness to engage with content and ads alike," Apple's advertising guide for buying ads on Apple News and Stocks reads. The most private streaming gadget It remains technologically possible for Apple to introduce intrusive tracking or ads to Apple TV boxes, but for now, the streaming devices are more private than the vast majority of alternatives, save for dumb TVs (which are incredibly hard to find these days). And if Apple follows its own policies, much of the data it gathers should be kept in-house. However, those with strong privacy concerns should be aware that Apple does track certain tvOS activities, especially those that happen through Apple accounts, voice interaction, or the Apple TV app. And while most of Apple's streaming hardware and software settings prioritize privacy by default, some advocates believe there's room for improvement. For example, STOP's Maestro said: Unlike in the [European Union], where the upcoming Data Act will set clearer rules on transfers of data generated by smart devices, the US has no real legislation governing what happens with your data once it reaches Apple's servers. Users are left with little way to verify those privacy promises. Maestro suggested that Apple could address these concerns by making it easier for people to conduct security research on smart device software. "Allowing the development of alternative or modified software that can evaluate privacy settings could also increase user trust and better uphold Apple's public commitment to privacy," Maestro said. There are ways to limit the amount of data that advertisers can get from your Apple TV. But if you use the Apple TV app, Apple can use your activity to help make business decisions—and therefore money. As you might expect from a device that connects to the Internet and lets you stream shows and movies, Apple TV boxes aren't totally incapable of tracking you. But they're still the best recommendation for streaming users seeking hardware with more privacy and fewer ads. Scharon Harding Senior Technology Reporter Scharon Harding Senior Technology Reporter Scharon is a Senior Technology Reporter at Ars Technica writing news, reviews, and analysis on consumer gadgets and services. She's been reporting on technology for over 10 years, with bylines at Tom’s Hardware, Channelnomics, and CRN UK. 22 Comments