News & Updates
The latest news and updates from companies in the WLTH portfolio.
Anthropic May Be About to Drop a Vibe-Coding Feature. It Could Change Everything
A new feature may be coming to Claude, and it could be an existential threat to the fast-growing vibe-coding market. On April 12, X user @hysteresis_x posted a screenshot of what they claimed was a new feature coming to Claude. The screenshot depicted a typical chatbot interface, plus an animated version of Anthropic's mascot Claw'd, under a message that read "let's ship something great." Other leaked images depicted an analytics dashboard and a game that users can play while their app is being created (similar to Google Chrome's Dinosaur game). The X user said the screenshots came from a "lovable-like feature where you can build full-stack apps easily." Lovable is one of Europe's greatest AI success stories; the company sells access to a platform that enables anyone, at any skill level, to build websites and applications, a practice commonly called vibe coding. Lovable and fellow vibe-coding companies Replit and Bolt have exploded in popularity over the last year, largely by using Anthropic's Claude models to power their platforms. Software engineers have adopted Anthropic's own Claude Code product en masse, but it still hasn't fully broken through among non-coders. Up until now, these vibe coding companies have had a friendly, mutually beneficial relationship with Anthropic. Should this feature be released, though, Anthropic's relationships with these platforms could significantly change.
Third-Party Agents Lose Access as Anthropic Tightens Claude Usage Rules | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. That's the reality artificial intelligence company Anthropic confronted when it ended Claude subscription access for third-party agent frameworks. Effective April 4, Claude Pro and Max subscribers can no longer use their plan limits to power tools like OpenClaw, as reported by VentureBeat. Users who want to keep those agents running must now switch to pay-as-you-go usage bundles or connect through a direct API key. Boris Cherny, Anthropic's head of Claude Code, announced the change on X, saying subscriptions were never designed for the kind of continuous, automated demand these tools generate. Affected subscribers received a one-time credit equal to their monthly plan cost. It comes down to a simple mismatch: Consumer subscriptions were built around human behavior. AI agents don't behave like humans. A person typing prompts into a chat interface generates a limited number of requests, constrained by time, attention and sleep. Agents don't stop. They run in loops, execute tasks in parallel, and generate a constant stream of activity that can quickly outpace any individual user. Before changing access rules, Anthropic had already started to feel that strain, and had introduced stricter session limits during peak business hours, a change the company said would affect up to 7% of users, as reported by PYMNTS. The OpenClaw decision pushes these controls further, extending them to how access is granted. The numbers tell the story. A $200-per-month Claude Max subscription was being used to run anywhere from $1,000 to $5,000 worth of agent compute tasks, according to The Decoder. Anthropic's own tools reduce costs by reusing previously processed context. Third-party frameworks like OpenClaw skip that efficiency layer entirely, triggering full-cost processing on every request. The new policy applies to all third-party frameworks and will expand beyond OpenClaw. Users can still use Claude models with those tools, but subscriptions will no longer cover the compute. Anthropic isn't alone in drawing a line. Google now spells out exactly what users get: Gemini's 2.5 Pro plan limits free users to 5 prompts per day, while $20-per-month AI Pro subscribers receive 100, and $250 AI Ultra subscribers get 500, the PYMNTs reporting shows. The move from vague tiers to hard caps reflects how standard usage controls have become across major model providers. Cursor and Replit both revisited pricing in 2025 to curb disproportionate usage, resetting expectations around what subscriptions deliver. At the same time, demand for agentic AI is accelerating. In August 2025, 52% of companies surveyed said they were still exploring the technology, according to PYMNTS Intelligence. By November, that number dropped to 30%, with nearly 1 in 4 chief product officers reporting active pilots or full production deployments. The backlash was immediate. OpenClaw creator Peter Steinberger, who joined OpenAI in February, said he and fellow investor Dave Morin attempted to negotiate with Anthropic directly and received only a one-week delay, as reported by The Decoder. He accused Anthropic of incorporating OpenClaw features into its own closed system before locking out open-source alternatives, pointing to the recent addition of Discord and Telegram messaging to Claude Code. One developer said switching API rates would make continued use cost-prohibitive and that the change would likely push users toward competing models, as covered by VentureBeat. For now, alternatives exist. OpenAI and several Chinese AI companies still support OpenClaw-style usage under subscription-like access, according to TNW. The open question is how long that model holds as agent demand and infrastructure pressure continues to climb.
Anthropic Expands Use of Google Cloud and TPUs
Latest expansion will provide Anthropic with multiple gigawatts of TPU capacity SUNNYVALE, Calif., April 6, 2026 /PRNewswire/ -- Anthropic today announced an expansion of its use of TPU chips and cloud services, as it scales its development of foundation models, agents, and enterprise applications. The expansion will provide Anthropic with multiple gigawatts of TPU capacity, expected to come online starting in 2027. This capacity expansion will be delivered through Google Cloud services, as well as access to Google-built TPUs supplied through Broadcom. The additional TPU capacity will support rapidly scaling needs for Anthropic's models. Anthropic also continues to grow its use of Google Cloud's broader cloud and AI solutions, including BigQuery, Cloud Run, AlloyDB, and others, which together help power Anthropic's data, AI development, and applications. Today, thousands of customers access Claude models through Google Cloud, including Coinbase, Cursor, Palo Alto Networks, Replit, and Shopify. About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. View original content to download multimedia:https://www.prnewswire.com/news-releases/anthropic-expands-use-of-google-cloud-and-tpus-302735047.html SOURCE Google Cloud
Anthropic Expands Use of Google Cloud and TPUs
Latest expansion will provide Anthropic with multiple gigawatts of TPU capacity Anthropic announced an expansion of its use of TPU chips and cloud services, as it scales its development of foundation models, agents, and enterprise applications. The expansion will provide Anthropic with multiple gigawatts of TPU capacity, expected to come online starting in 2027. This capacity expansion will be delivered through Google Cloud services, as well as access to Google-built TPUs supplied through Broadcom. The additional TPU capacity will support rapidly scaling needs for Anthropic's models. Also Read: AiThority Interview with Glenn Jocher, Founder & CEO, Ultralytics Anthropic also continues to grow its use of Google Cloud's broader cloud and AI solutions, including BigQuery, Cloud Run, AlloyDB, and others, which together help power Anthropic's data, AI development, and applications. Today, thousands of customers access Claude models through Google Cloud, including Coinbase, Cursor, Palo Alto Networks, Replit, and Shopify. Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Also Read: The Infrastructure War Behind the AI Boom
Anthropic Scales AI with Multi-Gigawatt TPU Expansion via Google Cloud
Anthropic announced an expansion of its use of TPU chips and cloud services, as it scales its development of foundation models, agents, and enterprise applications. The expansion will provide Anthropic with multiple gigawatts of TPU capacity, expected to come online starting in 2027. This capacity expansion will be delivered through Google Cloud services, as well as access to Google-built TPUs supplied through Broadcom. The additional TPU capacity will support rapidly scaling needs for Anthropic's models. Anthropic also continues to grow its use of Google Cloud's broader cloud and AI solutions, including BigQuery, Cloud Run, AlloyDB, and others, which together help power Anthropic's data, AI development, and applications. Today, thousands of customers access Claude models through Google Cloud, including Coinbase, Cursor, Palo Alto Networks, Replit, and Shopify.
Anthropic Expands Use of Google Cloud and TPUs
Latest expansion will provide Anthropic with multiple gigawatts of TPU capacity SUNNYVALE, Calif., April 6, 2026 /PRNewswire/ -- Anthropic today announced an expansion of its use of TPU chips and cloud services, as it scales its development of foundation models, agents, and enterprise applications. The expansion will provide Anthropic with multiple gigawatts of TPU capacity, expected to come online starting in 2027. This capacity expansion will be delivered through Google Cloud services, as well as access to Google-built TPUs supplied through Broadcom. The additional TPU capacity will support rapidly scaling needs for Anthropic's models. Anthropic also continues to grow its use of Google Cloud's broader cloud and AI solutions, including BigQuery, Cloud Run, AlloyDB, and others, which together help power Anthropic's data, AI development, and applications. Today, thousands of customers access Claude models through Google Cloud, including Coinbase, Cursor, Palo Alto Networks, Replit, and Shopify. About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. View original content to download multimedia:https://www.prnewswire.com/news-releases/anthropic-expands-use-of-google-cloud-and-tpus-302735047.html
Anthropic Expands Use of Google Cloud and TPUs
Latest expansion will provide Anthropic with multiple gigawatts of TPU capacity SUNNYVALE, Calif., April 6, 2026 /PRNewswire/ -- Anthropic today announced an expansion of its use of TPU chips and cloud services, as it scales its development of foundation models, agents, and enterprise applications. The expansion will provide Anthropic with multiple gigawatts of TPU capacity, expected to come online starting in 2027. This capacity expansion will be delivered through Google Cloud services, as well as access to Google-built TPUs supplied through Broadcom. The additional TPU capacity will support rapidly scaling needs for Anthropic's models. Anthropic also continues to grow its use of Google Cloud's broader cloud and AI solutions, including BigQuery, Cloud Run, AlloyDB, and others, which together help power Anthropic's data, AI development, and applications. Today, thousands of customers access Claude models through Google Cloud, including Coinbase, Cursor, Palo Alto Networks, Replit, and Shopify. About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. View original content to download multimedia:https://www.prnewswire.com/news-releases/anthropic-expands-use-of-google-cloud-and-tpus-302735047.html
Anthropic Expands Use of Google Cloud and TPUs | Weekly Voice
Latest expansion will provide Anthropic with multiple gigawatts of TPU capacity SUNNYVALE, Calif., April 6, 2026 /PRNewswire/ -- Anthropic today announced an expansion of its use of TPU chips and cloud services, as it scales its development of foundation models, agents, and enterprise applications. The expansion will provide Anthropic with multiple gigawatts of TPU capacity, expected to come online starting in 2027. This capacity expansion will be delivered through Google Cloud services, as well as access to Google-built TPUs supplied through Broadcom. The additional TPU capacity will support rapidly scaling needs for Anthropic's models. Anthropic also continues to grow its use of Google Cloud's broader cloud and AI solutions, including BigQuery, Cloud Run, AlloyDB, and others, which together help power Anthropic's data, AI development, and applications. Today, thousands of customers access Claude models through Google Cloud, including Coinbase, Cursor, Palo Alto Networks, Replit, and Shopify. About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. View original content to download multimedia:https://www.prnewswire.com/news-releases/anthropic-expands-use-of-google-cloud-and-tpus-302735047.html
Anthropic Expands Use of Google Cloud and TPUs
Latest expansion will provide Anthropic with multiple gigawatts of TPU capacity SUNNYVALE, Calif., April 6, 2026 /PRNewswire/ -- Anthropic today announced an expansion of its use of TPU chips and cloud services, as it scales its development of foundation models, agents, and enterprise applications. The expansion will provide Anthropic with multiple gigawatts of TPU capacity, expected to come online starting in 2027. This capacity expansion will be delivered through Google Cloud services, as well as access to Google-built TPUs supplied through Broadcom. The additional TPU capacity will support rapidly scaling needs for Anthropic's models. Anthropic also continues to grow its use of Google Cloud's broader cloud and AI solutions, including BigQuery, Cloud Run, AlloyDB, and others, which together help power Anthropic's data, AI development, and applications. Today, thousands of customers access Claude models through Google Cloud, including Coinbase, Cursor, Palo Alto Networks, Replit, and Shopify. About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. View original content to download multimedia:https://www.prnewswire.com/news-releases/anthropic-expands-use-of-google-cloud-and-tpus-302735047.html
I tried Replit, Lovable, and Claude Code to build the same app -- here's the only one worth using
Regardless of what you do, I'm sure at least one app idea has crossed your mind over the years. Perhaps a random frustration you faced at 2 AM and thought "how is there still not an app for this" and scribbled it into your Notes app. Or you saw someone else's app blow up and quietly muttered "I had that idea months ago." Maybe you have a running list of random app ideas somewhere -- ideas you swore you'd build when you have the time to learn how to actually code. Well, in 2026, you don't really need to go the traditional route anymore. You don't need to commit hours to learning how to code or paying a handsome amount of money to an app developer to build their version of your vision. Hundreds of AI-powered app builders now exist that claim all you need to do is describe your idea in plain English, and the AI will go ahead and build it for you. Three of the biggest names leading this space right now are Replit, Lovable, and of course, Claude Code. Now, if you've been wanting to finally bring your app ideas to life, you've likely seen people swearing by each of these tools. So, to see which one actually delivers the best results, I decided to put them to the test by using each to build the exact same app. Here's how it went... I used the same exact prompt across all three tools But I kept it intentionally vague When I'm vibe-coding, I've found that the best way to get results that match my exact vision is having incredibly detailed prompts. I don't necessarily mean longer prompts, but I mean a value-rich prompt that clearly communicates what you want. The more context you give, the less the AI has to guess and the closer the output lands to what's in your head. But for this test, I deliberately went the other way. I kept the prompt a bit vague on purpose. If my prompt covered every detail down to the exact colors, the specific libraries, the precise layout of every page, then I'm doing most of the "thinking" part for the tool and any halfway decent AI would produce roughly the same result. I wanted to more-so see how each tool interprets a rough idea I have, and then what it whips up. How functional is the app it creates on the very first go? Do the features work as I envisioned? Is it a solid enough first prototype to genuinely capture what I had in mind? While a lot of the answers to these questions come down to the exact prompt I'm using, the average user who wants to build an app isn't going to go through all that hassle. They're going to describe their idea the way they'd explain it to a friend. So, that's exactly how I wrote the prompt. The idea I had was an app where you upload your bank statement as a CSV and the app roasts your spending habits, categorizes your transactions, gives you a letter grade, and generates a brutally funny AI-powered breakdown of how you spend your money! It also lets you track your letter grade over time. So, while the idea was more or less an AI wrapper, it still touches enough real complexity to be a fair test! In my prompt, I mentioned the core features I wanted but I left out things like specific design direction and what tech stack to use. Claude Code is the only one that passed the real-world test Isn't that what really matters? Let's begin with the tool that impressed me the most in this test, and the one I think is genuinely worth using for something like this (even if you're a beginner): Claude Code. All three of the tools handled the sample data I had asked for just fine, which isn't surprising at all. The sample data is quite literally fake data that the tool itself generated, so of course it knows how to parse it! The real test was what happens when you upload a bank statement as a CSV file! That's real-world data in a format that the tool isn't accustomed to, and it's what helps determine whether the app actually works or just looks like it does. I exported my own bank statement as a CSV and uploaded it to all three, and Claude Code was the only one that handled it properly. It did get the currency wrong, but that's more-so something I should have specified in the prompt! For Replit and Lovable, I had to go in and follow up with additional prompts just to get them to parse the CSV correctly. On the other hand, Claude's version handled it perfectly on the first go! Claude's version of the roast was also the best out of the three! I cancelled my ChatGPT, Perplexity, and Gemini subscriptions for Claude -- and I should have sooner Wish I did this sooner. Posts 51 By Mahnoor Faisal The output was also the only version to have a neat graph of daily spending, and had an extremely interactive interface that was nice to look at! That said, I do think the UI looked very generic and you could tell it was vibe-coded. It had that classic look that every vibe-coded app ends up with these days, and I think this is something Replit and Lovable handled better. Claude Code was the tool that took the longest to complete building this app out, but given that the end result was the most functional and the most complete of the three, I'd say the extra time was well worth it. Replit's output looked the best But it didn't actually work Honestly, when Replit's version first loaded, I thought it was going to win. The UI was the best out of the three. For example, it had this Mac-style window frame around the roast section, complete with the little traffic light dots at the top. The roast would appear as if it was being typed out in real-time, like a typewriter effect, which was a really nice touch and made the whole experience feel more dramatic and fun. Ironically enough, despite the roast section being my favorite design element of the app, it was also the most broken part. Instead of actually displaying the roast as readable text, it dumped the raw API response straight onto the screen! All it took was one more prompt to fix it, but that's exactly what I was trying to put to the test here! When youre comparing tools based on what they produce from a single prompt, details like this certainly matter. Like I mentioned above, the file upload also didn't work with my actual statements on the first try. Again, fixable with follow-up prompts, but that's two core features that needed extra work. Lovable was the fastest to build But the output was just okay Lovable was the first tool to finish building, and the app it produced had a working roast feature. The UI of the tool was definitely clean, but it didn't really stand out. It did sort of give the vibe-coded look I was talking about earlier, and just looked like every other AI-generated app you've seen. The roast itself actually worked, so it's clear that Lovable handled the AI integration better than Replit on the first go. However, just like Replit, it couldn't parse a real CSV file initially. Subscribe for hands-on AI app-builder breakdowns Want confident, hands-on guidance on AI app builders? Subscribe to the newsletter for practical comparisons, honest analyses, and clear verdicts on Claude Code, Replit, Lovable and other build-with-AI platforms to help you pick the right tool. Get Updates By subscribing, you agree to receive newsletter and marketing emails, and accept our Terms of Use and Privacy Policy. You can unsubscribe anytime. So essentially, Lovable didn't have Replit's design edge or Claude Code's functionality and essentially sat somewhere between the two. It's definitely the tool I'd turn to when I need a quick working prototype given how fast it was to finish, but if I'm building something I actually want to use or show to people, I'd rather wait the extra time and go with either Claude or Replit. To be fair, Replit and Lovable are free to try Now, while you can try Claude out for completely free, Claude Code (which I used for this test) requires a paid subscription. So if you're just exploring and want to test the waters without spending anything, Replit and Lovable both have free tiers that'll let you build something like this without paying anything. But if you've got an idea you're actually serious above, Claude Code is the one I'd recommend!
