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Guillermo Rauch
@vercel CEO
Today we’re open sourcing a “vibe coding agent” powered by GPT-5.
It’s like @v0, but agnostic to framework, language, runtime. It can vibe code htmx and Haskell if you want. Built on @aisdk, Sandbox and AI Gateway.
If you want to add codegen to your platform or build your own v0, you now have the v0 Platform API (high level, opinionated & turnkey), but now also all the low-level primitives neatly wrapped in a sample project.
Enjoy! (🔗 link below)
39,54K
GPT-5 is really good at @nextjs
more to come
19 tuntia sitten
GPT-5 can do very complex software engineering tasks in practice, well beyond vibe coding
11,96K
We’re doing for AI what Stripe Elements did for financial infrastructure.
Robust @shadcn components that capture the best practices for building agent UI. Markdown streaming, chat messages, reasoning toggles, runnable code snippets…
21 tuntia sitten
AI Elements are new beautifully designed React components for the AI SDK.
Open source and built on shadcn/ui, they're easy to integrate and fully customizable.
41,62K
Software 1.0 (SaaS) was a rigid, static form of intelligence.
Some smart, highly motivated group of software-savvy humans get together, try to spot patterns and workflows in a given domain, smash some Red Bulls, stand up a database, wrap some UI around it, bundle it into a binary, and hit publish.
Buyers are happy they’re finally understood and cared for by a software vendor. “This company Boopitify from Palo Alto finally cracked the problem!”
As the product and market matures, more customers join the platform, the initial simplicity erodes little by little. The platform slows down by the endless stream of features, bug fixes, dialogs with nested dialogs, integrations, permission systems, Enterprise™️ requirements. The platform eventually gets so generic, it gets dumber, and it makes you, the user, feel dumb and disempowered.
AI cuts right to the chase. You’re no longer buying a rigid proxy for intelligence. You’re buying ingelligence itself, measured in tokens. This is, incidentally, the same the cloud did for infrastructure. No more rigid, static, fixed-size data center. Everything is consumed on-demand, and it’s on tap.
The key enabler of this has been code generation. Whether it’s vibe coding, GenUI, or agents, the software we used to code, is now generated. The interfaces we used to design: generated. The prototypes we used to spec: generated.
For vendors, it means rethinking your interfaces. Agents or assistants rather than rigid UIs. MCPs rather than rigid integrations.
For AI labs, it means winning the coding war. Agents need to write and execute their own code to solve problems.
For infra providers, it means rethinking what the “hello world” app is. It’s increasingly not web services. This is why we’re building the AI Cloud, made up of AI services, for AI apps, orchestrated by AI agents.
39,59K
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