At Uber a big problem for design teams and... engineering teams was design source of truth. No one knew what the app truly looked like, so weekly a bunch of designers would get into a meeting room and check that the engineers correctly implemented the figma designs that they made Now with coding agents throughput of changes has increased an order of magnitude and it has become impossible to manually keep up. Here we used the Revyl CLI to create a flow of every state in the Uber design, by navigating our mobile use agent on an cloud iOS simulator. This is something that would have taken a team of designers tens of hours to recreate manually; All done in less than an hour asynchronously with a simple prompt. Enable your team to know what your users are actually seeing and empower coding agents to give your users a delightful experience without any blindspots Get started with our new free trial and create a map for your own app 🗺️show more

At Uber, design source of truth was a big... problem for design and engineering teams. No one knew what the app truly looked like. So every week, a group of designers would sit in a meeting room and check that engineers had correctly implemented the Figma designs. Now coding agents have increased the throughput of changes by an order of magnitude. Keeping up manually has become impossible. Here we used the Revyl to map every state in Ubert (demo uber), navigating our mobile use agent on a cloud iOS simulator. This would have taken a team of designers tens of hours to recreate by hand. We did it in under an hour, asynchronously, with a simple prompt. Let your team see what your users actually see. Empower coding agents to ship a delightful experience with no blindspots. Get started with our free trial and create a map for your own app.show more

you've never actually seen your own app. you've seen... one build. in english. logged in as you. on your phone. at Uber, that was the whole problem. no one knew what the app actually looked like. every week a room of designers would sit down and check, screen by screen, that the build matched the figma. and that was one language. the app shipped in 50+, across thousands of a/b tests, on hundreds of devices. thousands of versions of the same app, and nobody had seen most of them. we built atlas to map what users actually see.show more

Replit just launched Replit Design. Designing an app is... one of the hardest parts, and AI often creates designs that all look the same. I like that Replit Design works like a design partner, helping you create designs that feel more unique and fit your app better. Now anyone can be a designer, not just people with design experience.show more

nobody at your company knows what your app actually... looks like. designers ship figma. engineers ship code. PM ships a roadmap. none of them match. we built atlas to fix this. point it at any iOS app, get back a complete map of every screen and every path through it. this is doordash.show more

I’ve been using Rork as a partner for over... a year and have built more than 10 projects with it, including both apps and games. You can absolutely build an app from development all the way to a production launch on the App Store with AI. Users don’t care what you used to build your app. They care whether it solves their problem and how well you distribute it. For an MVP to test the market, you don’t need a huge team, an outsourcing company, or to spend tens of thousands of dollars. 🥴show more

grokbot it's an agent with its own identity, its... own computer, and it stays on when you're not here's what "active AI employee" actually looks like in the demo: - chief of staff agent - checks in on your other agents, reads your calendar, dispatches tasks to the right one automatically - shopping agent - logged into your accounts, books tickets, buys groceries, reports back - marketing agent - signed into your actual linkedin, browses your past posts for tone, then writes and publishes a new one on its own - engineering agents - self-triage bug reports, kick off cloud coding agents, come back with a pull request, a screenshot, and a video of the fix the interface isn't a dashboard, it's a chat - same shape as texting a coworker, no tool calls to babysit the number that matters more than any of the demos: grok 4.6 scored 70.8% on cursor bench at $2.81 a task, fable 5 max scored 70.5% at $17.32 same capability, 6x the cost difference - that's the unlock that makes running a fleet of these actually affordable instead of a noveltyshow more

⚡️IMAGINE being able to give birth to an AI... of your own self with your own name on it! Meet Pika AI Selves — a living extension of your identity. An AI you create, nurture, and set into motion to grow with you, remembers what matters, and moves through the world by your side. If you are tired of bots, AI agents & Assistants, worry less, Pika has built something amazing & different for you – AI Selves! Check out: 👇🏿show more

I'm not an engineer, but I rebuilt Savee —... the app a million designers use Friday, 5pm. I asked Claude how much work it would take to rebuild our iOS app fully native. It had been sitting on our someday list for years, waiting for a team we didn't have. I stopped waiting and built it myself — a designer with Claude Code, one feature at a time. Claude wrote the Swift; I answered with the feedback designers give: two points left, lighter tint, that corner radius is wrong. Another round. And another. 33 days from the first prompt to live on the App Store. 1,078 prompts. Three releases in the first week. Something changed for designers. The distance between an idea and shipping used to be a team, a budget, and a year. Now it's a conversation. Savee 3.0 is out. It's the app I always wanted us to have 🚀show more

HTML Artifacts are a big part of how I... work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:show more

The part of PixVerse that stood out to me... was not just the AI fan host, but the chance to turn a football cheer into something personal. Users can interact with Reina, create personalized cheer videos, and enter a lucky draw for PixVerse service credits. The credits can only be used on PixVerse. They are non transferable and have no cash value. It is a playful early experiment, but I like that it gives users a simple way to make something of their own and share it with others. That mix of creating a cheer moment and joining the credit draw is what I would want to try 👉show more

Introducing Pages on Superset mobile Your agents can now... deliver interactive demos, mockups, and reports as Pages you can review from your phone. Ask an agent to build a feature, compare designs, or investigate a problem. It can put the result in a Page with the context you need to review it and give feedback. A few ways to use it: • Feature work: try an interactive demo, then inspect the code in the PR. • Design reviews: compare mockups and before-and-after screenshots. • Investigations: explore findings, charts, and recommendations in one place. To try it, ask your agent to build a feature and create a Page for you to review.show more

Most teams' definition of done was written for people.... "Tests pass" was shorthand, and everyone on the team knew it also meant you clicked through the thing once. Agents read it literally. If your AGENTS.md says done means tests pass, the cheapest path to done is making tests pass, and editing a test is often cheaper than fixing the code. Write a definition the agent cannot satisfy by editing a file: done means the user flow works in the running app. Then give it a way to check that on its own. The TestSprite CLI is open source under Apache-2.0, and an agent can call it directly to run Integration Tests against the app before it reports back.show more

What if i told you that feeling connected and... closer to your favourite football player(s) has now been made easy by is a provides your favourite players and football teams with the tools to create exclusive content from team trainings, travels, holidays, etc. Get the it and have an incredible journey with your favourite player.show more

I'm very proud to launch and introduce my design... studio: Antitype. I've been convinced for several years that design will be the work of my life, and this studio is the starting point. A few days ago, a well-known designer publicly announced he was quitting design, overwhelmed by what AI is now capable of producing. A lot of designers share that feeling right now. I don't share it at all. I actually believe it's never been more important to create, to innovate on your product, your interfaces, your art direction. Differentiation has become key for ambitious companies looking to escape the standardisation that AI can generate. That's exactly what Antitype is built on: turning brand and product into a competitive advantage for those who want to stand out. This studio is a solid foundation for what I want to build long-term, and I'm really excited to share it with you!show more

ClickUp now employs over 100,000 AI AGENTS for our... customers. This is from just THREE WEEKS of customers vibe coding full-blown teams of agents, THEMSELVES. BUT there's a problem. Since Super Agents are built agnostically, horizontally, and deeply capable with human-level abilities, you can literally build an agent for anything. We found that MOST of our customers have NO CLUE where to start. This is their very FIRST TIME EVER managing an agent. What I recommend is starting with a PROBLEM. Everybody can think of a problem they have. Just tell Super Agent Builder about your problems... about where you're WASTING time... about what you WISH you could do but you can't because of resource constraints. We've also found that human FEEDBACK and iteration are KEY. After agents are done with their jobs, give them feedback... Was it good? Was it bad? What do you want to see differently? They AUTOMATICALLY SELF-IMPROVE. Every time, they'll continuously get SMARTER. Personally, I find that agents go from AVERAGE intelligence to SUPER-human intelligence within about a month of working with them. Super Agents have truly democratized productivity, empowering literally anyone to build personalized, powerful agents in minutes. What problems do you wish you could solve? What do you not have enough time to get done? What would you like to do but don't have the resources for? What busy work do you wish you could get rid of?show more

Day 140 of vibe-coding as a designer. I'm shocked... how few designers know about this workflow. I skipped Figma and made a beautiful Robinhood design from Claude Code + Paper, in just one prompt. Wild! 🤯 This feels like the future of design.show more

Excited to launch a new way to upskill with... AI agents. This is how we are making it possible for anyone to learn to build with coding agents. To start, we are launching 4 new hands-on labs on the following topics: - Agent Skills - Agentic Image Generation - 30 Days of Hermes Agents - Prompt Engineering with Agents I am confident that with our new DAIR.AI platform, anyone can learn to become a top AI builder by building and acquiring highly-demanded AI skills. And there is a lot more landing in the coming weeks.show more

At Uber, our testing agent hit an outage in... Australia that I still think about. We had the recording. That's about it. No network trace for the run. No logs mapped to each step. No perf data. Just a video of an agent pressing a button and a team trying to reconstruct what happened underneath. We eventually traced it to a transient issue. But "eventually" is the problem. If the run had shipped with real instrumentation, the why would have taken one look, not an investigation. So when we built Revyl, that was non-negotiable. Every run comes with: > network waterfall, every request and response > device logs timestamped against each step > CPU, memory, and FPS traces for the full run The agent finds the problem. The report explains it.show more