It just doesn’t make sense to buy the WH-1000XM6 when the 1000XM5 is this much cheaper.

See how OctoPrint can make your 3D printing project easier.

I don't want to lose hours worth of HASS progress to a badly configured YAML file

It's the same every year. Like clockwork, both social media and real media clamour to do what they do best: moan. Not about politics. Not about the trains. Not even about the weather. No, it's Glastonbury Festival time, which means it's time for the annual whinge-fest over how much it costs and how bad the line-up is. It's a tradition as sacred as Glastonbury itself. Within minutes of the headliners being announced, someone somewhere will tweet "WHO?" as if that settles the matter. The tickets, they declare, are extortionate. The food is overpriced. The toilets are... well, they're not wrong there, to be fair. And yet Glastonbury sells out. Every. Single. Time. In minutes. Not hours, not days, but minutes; just 35 of them, this time around. A digital stampede of fans crashes the ticketing servers, elbows each other out of the virtual queue, and desperately parts with £373.50 of their hard-earned cash. If people really thought it wasn't worth it, why would that happen? Deep down, Glastonbury fans know it is worth it. Not just for the vibes. Not just for the bragging rights. In terms of basic maths alone, it remains a much cheaper way to see all your favourite bands compared with buying tickets to individual gigs. Let's break it down. From this year's stacked, genre-hopping, generation-spanning line-up, these are my 10 ride-or-die bands, the ones I'm determined to see come hell or high water at this year's Glastonbury. And next to them is a reasonable estimate of how much it would cost to see them individually on tour. Alanis Morissette: £60-£135 Charli XCX: £85-£200+ English Teacher: £25-£35 Gracie Abrams: £100-£400+ John Fogerty: £35-£130+ Lola Young: £25-£40 Olivia Rodrigo: £120-£200+ Raye: £50-£100+ Wet Leg: £30-£40 Wolf Alice: £40-£60 You can quickly see how these individual tickets would add up, and that's before the beer-soaked chips and £17 parking surcharges at the O2. But at Glastonbury, they're all included, alongside more than two thousand other acts. Plus five nights of camping, firewood, circus performers, standup comedy, theatre performers, secret gigs, DnB raves, late-night poetry slams, kids' clubs, drone shows, the visionary chaos of Shangri-La, a bloke dressed as a badger doing tai chi at 4am, and the very real possibility of watching Chris Martin duet with a kestrel. All for less than the price of one premium Olivia Rodrigo ticket at the Birmingham NEC with a half-decent sightline. © Amy Fern © George Harrison © Amy Fern No one involved with the festival will ever say this out loud... but in truth, this is underpricing. Glastonbury doesn't cost too much; it's that it's charging less than it's worth. The organisers know it, the scalpers know it, and deep down, so do we. Why else would the event remain massively oversubscribed year after year? The lesson for freelancers Herein lies the lesson for anyone who's ever said yes to a freelance gig, then immediately regretted it because the fee barely covers your oat milk habit. Every time you flinch at raising our rates, worrying, "What if they say no?" you need to remember that people will always complain about the price. But then they pay it anyway, if what you're offering is good. Just like a Glastonbury ticket, your work has value that goes beyond the sum of its parts. Clients might baulk at a day rate, grumble at a quote, or attempt the classic "Can you do it for exposure?". But if they really want you, they'll find the budget. Sure, you could try to undercut your peers. Offer the cheapest design package. Throw in extra concepts for free. Discount your fee before they even ask. But all that gets you is the creative equivalent of being the sad burger stand next to the rave tent: underpaid, undervalued, and slightly sticky. Here's the uncomfortable truth: clients don't always know what things should cost. They base their expectations on their last hire, a Fiverr ad, or what their mate's cousin paid a graphic design student in 2017. © George Harrison © Yushy Pachnanda © JodyHartley But it's not your job to price yourself within their comfort zone. It's your job to price yourself according to your value. If clients can't afford you, that's not rejection; that's redirection. Someone else—someone better, someone ready—will always pay you what you're worth. Just like someone always buys the last Glastonbury ticket. So ignore the noise. Just like the festival, you're not for everyone, and that's fine. Your rates should make you feel slightly nervous, not make your client feel overly comfortable. That's how you grow. That's how you stay booked. That's how you avoid burnout and build a business rather than a bargain bin. In other words, next time you feel the urge to knock 20% off your quote "just to be safe", picture yourself standing in a Somerset field surrounded by 200,000 sweaty strangers who all agreed—despite the price, despite the moaning, despite the toilets—that it was absolutely worth it. And then charge accordingly.

The relationship between strategists and designers is key to creating effective work that meets clients’ needs. But strategists can feel misunderstood, and even undervalued, in their attempts to set a project’s direction through clear and meaningful thinking. We spoke with a range of in-house and independent strategists about what they wish designers knew about their work. Is the role of strategists changing, like so many design industry roles right now? If so, how? “The lightning speed turnaround” of creative work is creating new pressures, says Gardiner Richardson’s associate director and strategic lead, Matt Forster. Partly this is down to the rise of AI, which is front-of-mind according to independent strategist Manfred Abraham, who has held senior roles at Interbrand and Wolff Olins. The two big shifts, he says, are AI’s potential to bring efficiency to the process – using information gathering and analytics to inform insights – and the dramatic changes that AI will bring to the consumer landscape. “Imagine a world where your personal AI agent makes your life much easier,” he says. “What are consumers going to do with their extra time? Strategists will have to work in close collaboration with creatives to be able to imagine the future for our clients.” Beyond AI, consumers’ withering attention spans, coupled with the proliferating demands on their time, creates a big challenge. “Brands are looking for strategists to show them high interest areas of culture where they have a credible role to play, making it easier for them to reach their audience,” says Matt Boffey, chief strategy officer, UK & Europe, at Design Bridge and Partners. As the world becomes more complex, there is a renewed appetite for clarity, says Polly Clark, a strategy consultant for agencies like Buddy Creative in Cornwall. “I’m seeing that simplicity is even more important than ever,” she says. “Overly complex or convoluted thinking isn’t helpful for anyone, and just slows everything down.” And some strategists have noticed a bit of mission creep. “Increasingly, clients are expecting strategists to contribute at a broader business level not purely brand strategy, design or comms,” says Louise Kennedy, who recently joined Into The Light as head of strategy. What don’t designers understand about your role? “Strategy is not a threat or a limit to designers’ creativity,” says Gardiner Richardson’s Matt Forster. “It’s a springboard to a controlled creative leap.” Into the Light’s Louise Kennedy points out that “designers, on the whole, are visual and often want to get to the ‘creative ask’ very quickly so they can start doing what they do best. “But many of us strategists enjoy taking people on the journey of how we got there by unpacking context and patterns. What designers might see as wordy, we see as fascinating storytelling, but perhaps we tell them more than they need to know, to protect our own egos.” There seems to be a recurring tension between the idea of strategists as left brain thinkers – rigorous, analytical, and logical – against designers as right-brain thinkers – more creative and emotional. But Manfred Abraham points out this is a false – if persistent – way of looking at strategy. “Some designers have missed that there might be a strong right brain there as well!” he says. What don’t clients understand about your role? “Unless clients have experienced it before, they aren’t immediately going to understand the value of strategy,” Gardiner Richardson’s Matt Forster says. “They may have worked with agencies who underpin their creative approaches on little substance. “Once we’ve explained our strategic process, why we follow it and the value it will create for all their creative communications and wider business, it’s a no brainer.” Nor does every client understand the commercial power of great design. “In the brand consulting and growth space specifically, clients often think that strategy is communication strategy,” says Manfred Abraham. “The strategies we develop go much further than that – communications is a part of it.” And adding all this value takes time – more than some clients realise. “I think for clients, it is understanding the need to protect the time and space to do a proper job at this stage and the benefit that will bring,” says Into The Light’s Louise Kennedy. “We might even need to commission new insight work if we feel there are big gaps in knowledge,” she adds. How do you balance multiple client meetings with getting the deep thinking done? This, most strategists agree, is a precarious juggling act. “It sometimes feels like ‘manager time’ has won out over ‘maker time,’” says Design Bridge and Partners’ Matt Boffey. “Days are apportioned into slots, from 30 minutes to an hour, which is perfect for meetings but inadequate for building momentum on substantial projects. The goal, he insists, isn’t to eliminate meetings. “Collaboration remains essential. Rather, it’s to create conditions where both discussion and deep work can thrive. We must be careful that ‘talking’ doesn’t completely squeeze out ‘doing’.” He encourages his team to block time between meetings to mentally stretch, as you might after a gym session. “And I’m a strong advocate for reserving longer periods, either half days or full days, for the ‘deep work’ required when writing a discovery debrief or developing brand strategy.” Although Louise Kennedy blocks out time in this way, she finds it doesn’t always work for her. “Often in those moments I can get brainfreeze as I feel under pressure to produce something smart,” she says. “So I like to read everything on a project then leave it for at least a day so my brain can digest it fully and start working behind the scenes.” External consultants can work the schedule that suits them. On most days, Manfred Abraham gets up at 5.30am because that’s when his brain is at its best. It’s also a time of day free of client meetings, “so it’s great thinking time,” he says. Polly Clark, on the other hand, embraces this juggling act. “It’s always something I’ve needed to do, and actually helps sharpen my thinking. Switching focus means I can come back to things fresher, and stops me getting caught up in the weeds.” What’s the worst thing a designer can say to a strategist? Matt Forster – “That they still don’t get it – which means I haven’t involved them enough, explained it well enough or done a good enough job.” Louise Kennedy – “’I’m confused’ or worse, ‘I’m confused and bored’.” Matt Boffey – ‘“Great, the client’s bought the strategy, now we can really start the work.” “This sounds like strategy has become a hurdle to clear before creativity begins, where it should be the foundation that makes creativity powerful and purposeful. The best work happens when strategists and designers see their contributions as interconnected parts of a unified process, rather than unrelated elements.” Polly Clark – “In the past I’ve heard designers question what strategy brings. That’s been when the strategy hasn’t made sense of the challenge, or is overly convoluted – which is sure to make everyone switch off.” Manfred Abraham – “That great design doesn’t need strategic thinking. It’s simply not true. We are great individually but we are brilliant together.”

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. WhatsApp beta users can now craft their own AI chatbots - here's why you might want one Paul Hill Neowin @ziks_99 · Jun 3, 2025 05:10 EDT Since the end of 2022, tech companies, and even non-tech companies, have been clamoring to pile AI into their services. Despite what many people say about not liking AI, plenty of people are still using it every day, making it a key offering. Not only that, but for public companies like Meta, the inclusion of AI does very well with investors, so that’s another reason it’s being added. While the most common chatbot people talk about is ChatGPT, which is pretty faceless, there is demand for AI chatbots with a face, this is why people use tools like Character.ai and Replika. One of the only big tech firms that has gone down this route is Meta, which lets you create and share AI characters. To date, some of Meta’s apps, like Messenger, allow you to chat with these AI personas but you can’t do that yet in the stable version of WhatsApp. The company is now testing it with the Android Beta and when it’s ready, it should make a more seamless experience across Meta’s applications. Many of the popular bots that people use including ChatGPT, Gemini, and DeepSeek are faceless and offer the same tone out of the box. To be fair to Gemini, it does allow all users to create Gems now, and they actually offer a bit more flexibility than just creating characters to talk to like in Messenger. The chatbots in Messenger have the benefit of being in the Messenger app, which most people use and giving them a personality and making them feel like an “AI person” fits better in Messenger. Whether we really need these AI bots in Messenger is still up for debate. It’s quite a new feature and some people may find some good uses for them, but as mentioned, they don’t seem as flexible, or provide as detailed responses as custom bots made on Poe or Gemini Gems. They are definitely for having casual conversations with. WhatsApp's new AI chatbot creator We’ve known that the chatbot feature was coming to WhatsApp for a long time already. WhatsApp beta for Android 2.25.1.26, released in January, included the feature for some beta testers. With the latest WhatsApp beta for Android 2.25.18.4, it seems like WhatsApp is trialing the feature with members of the public, suggesting its release is imminent. Screenshots of the app, obtained by WABetaInfo show that you can describe your AI, select its personality, its traits, its image and more. The process seems to be the same as the process already available in Messenger. One of the nice things that Meta provides when creating these AI bots is templates and suggestions such as the attitude of the bot or the instructions for the bot. This is the same as in Messenger and allows you to get started chatting with your custom bots faster. In terms of sharing, you have the option to make the bots private, share them with friends (at least in the case of Messenger and presumably WhatsApp), or share them publicly. If you make something specific for your needs then the private option would be best, while bots with mass appeal could be set to public. Creating bots in WhatsApp is straightforward once you have access to the AI Studio. During the creation process you’ll need to name your AI, define its personality, choose a tone, design an avatar (some will be made for you with Meta’s AI), and create a catchy tagline to attract users if you ever set it to public. Much of the information will be pre-filled based on the initial details you provide about the AI’s role and personality. Some ideas for bots that you can create include a motivational coach, a travel recommendation AI, or a daily planner. While setting up these AI bots is easy to do, users may find their actual benefits limited. Besides the nagging feeling that you’re socializing with a clever bit of code, Meta seems to truncate the answers of these bots so they don’t rattle on, but depending on what you want them to do, you may need them to give a lengthy response, but they won’t. What personalized AI chatbots could offer If you are looking for an AI that chats to you conversationally like real people do, then this could be the feature you’re looking for. The fact that you can personalize bots with specific traits is something you can’t do as easily in apps like ChatGPT and Gemini and the fact that they have an avatar makes them more connectable too. Two of the defining features of Meta’s AI implementation is the ability to create custom AIs with a unique personality and to share them publicly. If you are having difficulty thinking of what a bot could be instructed to do, you can easily find community bots and interact with those instead and may find they provide some value. While these bots could be interesting for some people, they do carry the same risks as other AIs and that is that they can hallucinate. There was also a case in the UK where a man had been encouraged by his Replika to break into Buckingham Palace with a crossbow to kill the then head of state. Similar issues to this could result from Meta’s AI chatbots in time. Potential pitfalls While the feature is pretty interesting there are some things to be aware of. Firstly, the feature is still in beta on WhatsApp so you may run into issues and things could change once it’s finally released. Meta also states that it uses your interactions to improve its AI services, for this reason it is essential not to share personal information as Meta could read it. While Meta does limit the creation of bots that go against its standards, the company also warns that bots can output harmful content, so this could be dangerous for impressionable people who end up acting on what an AI has said with negative outcomes. What to watch for next It’s not clear when these AI chatbots will be available in the stable channel but given that a wider rollout is underway among beta users perhaps we are not too far off. For most people, this is not going to be a must-have feature, just a nice to have. We’ve been using WhatsApp to chat with friends for years, so clearly the app is just fine without the inclusion of AI, but when it’s available, people may be able to get more value out of the app. When the feature launches for all users, bots should be discoverable in the same way they are on Messenger where they’re categorized by category allowing users to begin chats easily. It remains to be seen how users will interact with this feature in the long-run. Last year, we reported that Meta was looking to give bots profiles on its social networks and this was met by somebacklash in our comments section. Tags Report a problem with article Follow @NeowinFeed

TL;DR: Accounting can be costly, but small business owners can now score pro-level accounting tools with a one-time payment of $250 for Intuit QuickBooks Desktop Pro Plus 2024. For small business owners seeking a reliable and cost-effective accounting solution, Intuit QuickBooks Desktop Pro Plus 2024 is now offering a lifetime license for a one-time payment of $249.99 (reg. $699). This version provides robust features designed to streamline your business’s financial management without the burden of recurring subscription fees.​ Let’s dive into what QuickBooks comes with to simplify your accounting needs: Enhanced reporting: Access advanced reporting tools, including custom dashboards and reports, to gain deeper insights into your business finances.​ Inventory management: Track inventory with improved reports and manage stock more efficiently to prevent shortages or overbuying. Data security: Your business can become vulnerable to bad actors, which is why QuickBooks has AES 256-bit encryption—the industry-leading security standard—to ensure your financial data is protected. User-friendly interface: Navigate through an updated and intuitive interface, all designed to make it easy to manage your business accounting tasks.​ With a lifetime license, you’ll never need to pay for a pesky subscription again. This version is optimized for Windows 10 and 11, so be sure that your PC’s operating system meets download requirements before purchasing. Whether you’re a freelancer, contractor, or small business owner, you can streamline your finance management by grabbing this Intuit QuickBooks Desktop Pro Plus 2024 lifetime subscription, now available for $249.99 (reg. $699) while supplies last. Intuit QuickBooks Desktop Pro Plus 2024 (1 User) for Windows: Lifetime LicenseSee Deal StackSocial prices subject to change.

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!

The USB-C port on today’s laptops can connect to accessories, transmit power to your PC, and even support an extra display. The only problem? Not every USB-C port will necessarily support data, power, or an additional display. Microsoft is trying to change that by enforcing new standards for PC vendors. In a blog post, the company revealed that many users have been encountering USB-C inconsistency issues in laptops built with USB4, the latest version of the interface.  “Windows Diagnostics Data shows that 27% of PCs with USB4 have encountered a limited functionality notification, meaning that a customer plugged a USB-C device in, but a feature (alternate mode) that device needs was not implemented on the PC and Windows notified the user,” wrote Ugan Sivagnanenthirarajah, a technical product manager at Microsoft. That’s a problem, especially if the consumer expects that a USB-C port will support everything, including charging, data, and displays. Sivagnanenthirarajah mentions a case where the user plugged in an external display into a laptop’s USB-C port only to wonder why it didn’t work. “PC manufacturers can implement ports that look identical but differ wildly in functionality,” he added. “One may charge your laptop and run a 4K display; another might only deliver USB 2.0 data speeds. The USB specification allows this, and without clear enforcement, the consumer experiences frustration, guesswork, and endless troubleshooting.”  Recommended by Our EditorsIn response, Microsoft is implementing a “minimum bar for USB-C port capabilities on PCs,” that’ll require them to support data, power charging, and a display through each connection. The company will enforce the requirement through Microsoft’s “Windows Hardware Compatibility Program,” which PC vendors can use to certify that their products have been designed to run the Windows OS. (Credit: Microsoft)The goal is to turn optional features into mandatory ones, and “ensure a consistent level of performance you can count on,” Sivagnanenthirarajah said. “Your favorite USB 1, USB 2, and USB 3 peripherals, chargers, and displays will work exactly as advertised on any USB-C port on your WHCP-certified Windows 11 device,” he added.  Specifically, a USB-C port must offer USB Power Delivery charging and DisplayPort Alt-Mode. That said, the requirements permit each USB-C ports to differ in their data transfer speeds and display resolution support. In addition, Microsoft is enforcing a requirement for laptops that advertise USB4 40Gbps or 80Gbps ports. The same laptops “must “sustain full speed 40Gbps links on all USB-C ports,” the company says. The ports also need to offer full Thunderbolt 3 compatibility, support for up to two 4K monitors at 60Hz and feature “PCI Express tunnelling that allows external GPUs and NVMe enclosures to work seamlessly.”Still, the Windows Hardware Compatibility Program is both voluntary and not widely known among consumers. So it's unclear if PC vendors will commit to the requirements. Still, Microsoft’s blog post notes: “PC manufacturers are on track to achieve WHCP compliance across most systems in the coming years.”

Replicube A game by Walaber Entertainment LLCDev snapshot: Godot 4.5 dev 5By: Thaddeus Crews2 June 2025Pre-releaseBrrr… Do you feel that? That’s the cold front of the feature freeze just around the corner. It’s not upon us just yet, but this is likely to be our final development snapshot of the 4.5 release cycle. As we enter the home stretch of new features, bugs are naturally going to follow suit, meaning bug reports and feedback will be especially important for a smooth beta timeframe.Jump to the Downloads section, and give it a spin right now, or continue reading to learn more about improvements in this release. You can also try the Web editor or the Android editor for this release. If you are interested in the latter, please request to join our testing group to get access to pre-release builds.The cover illustration is from Replicube, a programming puzzle game where you write code to recreate voxelized objects. It is developed by Walaber Entertainment LLC (Bluesky, Twitter). You can get the game on Steam.HighlightsIn case you missed them, see the 4.5 dev 1, 4.5 dev 2, 4.5 dev 3, and 4.5 dev 4 release notes for an overview of some key features which were already in those snapshots, and are therefore still available for testing in dev 5.Native visionOS supportNormally, our featured highlights in these development blogs come from long-time contributors. This makes sense of course, as it’s generally those users that have the familiarity necessary for major changes or additions that are commonly used for these highlights. That’s why it might surprise you to hear that visionOS support comes to us from Ricardo Sanchez-Saez, whose pull request GH-105628 is his very first contribution to the engine! It might not surprise you to hear that Ricardo is part of the visionOS engineering team at Apple, which certainly helps get his foot in the door, but that still makes visionOS the first officially-supported platform integration in about a decade.For those unfamiliar, visionOS is Apple’s XR environment. We’re no strangers to XR as a concept (see our recent XR blogpost highlighting the latest Godot XR Game Jam), but XR platforms are as distinct from one another as traditional platforms. visionOS users have expressed a strong interest in integrating with our ever-growing XR community, and now we can make that happen. See you all in the next XR Game Jam!GDScript: Abstract classesWhile the Godot Engine utilizes abstract classes—a class that cannot be directly instantiated—frequently, this was only ever supported internally. Thanks to the efforts of Aaron Franke, this paradigm is now available to GDScript users (GH-67777). Now if a user wants to introduce their own abstract class, they merely need to declare it via the new abstract keyword:abstract class_name MyAbstract extends Node The purpose of an abstract class is to create a baseline for other classes to derive from:class_name ExtendsMyAbstract extends MyAbstract Shader bakerFrom the technical gurus behind implementing ubershaders, Darío Samo and Pedro J. Estébanez bring us another miracle of rendering via GH-102552: shader baker exporting. This is an optional feature that can be enabled at export time to speed up shader compilation massively. This feature works with ubershaders automatically without any work from the user. Using shader baking is strongly recommended when targeting Apple devices or D3D12 since it makes the biggest difference there (over 20× decrease in load times in the TPS demo)!Before:After:However, it comes with tradeoffs:Export time will be much longer.Build size will be much larger since the baked shaders can take up a lot of space.We have removed several MoltenVK bug workarounds from the Forward+ shader, therefore we no longer guarantee support for the Forward+ renderer on Intel Macs. If you are targeting Intel Macs, you should use the Mobile or Compatibility renderers.Baking for Vulkan can be done from any device, but baking for D3D12 needs to be done from a Windows device and baking for Apple .metallib requires a Metal compiler (macOS with Xcode / Command Line Tools installed).Web: WebAssembly SIMD supportAs you might recall, Godot 4.0 initially released under the assumption that multi-threaded web support would become the standard, and only supported that format for web builds. This assumption unfortunately proved to be wishful thinking, and was reverted in 4.3 by allowing for single-threaded builds once more. However, this doesn’t mean that these single-threaded environments are inherently incapable of parallel processing; it just requires alternative implementations. One such implementation, SIMD, is a perfect candidate thanks to its support across all major browsers. To that end, web-wiz Adam Scott has taken to integrating this implementation for our web builds by default (GH-106319).Inline color pickersWhile it’s always been possible to see what kind of variable is assigned to an exported color in the inspector, some users have expressed a keen interest in allowing for this functionality within the script editor itself. This is because it would mean seeing what kind of color is represented by a variable without it needing to be exposed, as well as making it more intuitive at a glance as to what color a name or code corresponds to. Koliur Rahman has blessed us with this quality-of-life goodness, which adds an inline color picker GH-105724. Now no matter where the color is declared, users will be able to immediately and intuitively know what is actually represented in a non-intrusive manner.Rendering goodiesThe renderer got a fair amount of love this snapshot; not from any one PR, but rather a multitude of community members bringing some long-awaited features to light. Raymond DiDonato helped SMAA 1x make its transition from addon to fully-fledged engine feature (GH-102330). Capry brings bent normal maps to further enhance specular occlusion and indirect lighting (GH-89988). Our very own Clay John converted our Compatibility backend to use a fragment shader copy instead of a blit copy, working around common sample rate issues on mobile devices (GH-106267). More technical information on these rendering changes can be found in their associated PRs.SMAA comparison:OffOnBent normal map comparison:BeforeAfterAnd more!There are too many exciting changes to list them all here, but here’s a curated selection:Animation: Add alphabetical sorting to Animation Player (GH-103584).Animation: Add animation filtering to animation editor (GH-103130).Audio: Implement seek operation for Theora video files, improve multi-channel audio resampling (GH-102360).Core: Add --scene command line argument (GH-105302).Core: Overhaul resource duplication (GH-100673).Core: Use Grisu2 algorithm in String::num_scientific to fix serializing (GH-98750).Editor: Add “Quick Load” button to EditorResourcePicker (GH-104490).Editor: Add PROPERTY_HINT_INPUT_NAME for use with @export_custom to allow using input actions (GH-96611).Editor: Add named EditorScripts to the command palette (GH-99318).GUI: Add file sort to FileDialog (GH-105723).I18n: Add translation preview in editor (GH-96921).Import: Add Channel Remap settings to ResourceImporterTexture (GH-99676).Physics: Improve performance with non-monitoring areas when using Jolt Physics (GH-106490).Porting: Android: Add export option for custom theme attributes (GH-106724).Porting: Android: Add support for 16 KB page sizes, update to NDK r28b (GH-106358).Porting: Android: Remove the gradle_build/compress_native_libraries export option (GH-106359).Porting: Web: Use actual PThread pool size for get_default_thread_pool_size() (GH-104458).Porting: Windows/macOS/Linux: Use SSE 4.2 as a baseline when compiling Godot (GH-59595).Rendering: Add new StandardMaterial properties to allow users to control FPS-style objects (hands, weapons, tools close to the camera) (GH-93142).Rendering: FTI - Optimize SceneTree traversal (GH-106244).Changelog109 contributors submitted 252 fixes for this release. See our interactive changelog for the complete list of changes since the previous 4.5-dev4 snapshot.This release is built from commit 64b09905c.DownloadsGodot is downloading...Godot exists thanks to donations from people like you. Help us continue our work:Make a DonationStandard build includes support for GDScript and GDExtension..NET build (marked as mono) includes support for C#, as well as GDScript and GDExtension.While engine maintainers try their best to ensure that each preview snapshot and release candidate is stable, this is by definition a pre-release piece of software. Be sure to make frequent backups, or use a version control system such as Git, to preserve your projects in case of corruption or data loss.Known issuesWindows executables (both the editor and export templates) have been signed with an expired certificate. You may see warnings from Windows Defender’s SmartScreen when running this version, or outright be prevented from running the executables with a double-click (GH-106373). Running Godot from the command line can circumvent this. We will soon have a renewed certificate which will be used for future builds.With every release, we accept that there are going to be various issues, which have already been reported but haven’t been fixed yet. See the GitHub issue tracker for a complete list of known bugs.Bug reportsAs a tester, we encourage you to open bug reports if you experience issues with this release. Please check the existing issues on GitHub first, using the search function with relevant keywords, to ensure that the bug you experience is not already known.In particular, any change that would cause a regression in your projects is very important to report (e.g. if something that worked fine in previous 4.x releases, but no longer works in this snapshot).SupportGodot is a non-profit, open source game engine developed by hundreds of contributors on their free time, as well as a handful of part and full-time developers hired thanks to generous donations from the Godot community. A big thank you to everyone who has contributed their time or their financial support to the project!If you’d like to support the project financially and help us secure our future hires, you can do so using the Godot Development Fund.Donate now