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Woot woot. How’s your experience been with Chai.new — we are shipping public agents and shareable forkable community agents.

This is what I have been advising a lot of new builders building AI agents with Chai.new by Langbase.

If you want to build a great AI agent, take it step by step instead of trying to one shot a huge system in one go.

Big congrats to @langbase.com on launching chai.new — go from concept to custom agent in seconds not days. I’ve been beta testing and am convinced it’ll change how we build AI-backed apps.

Also btw have you tried chai.new yet?

And I’m here for it.

With the launch of Chai, we have seen tens of thousands of new AI agents being vibe-coded both by builders and expert developers.

Everyone is seeing a huge productivity gain here. From builders to developers to product managers everyone is building agents like never before.

There’s a huge amount of grey area between what’s vibe-coded and what’s AI-assisted coding. Do both.

Both btw are much better than the drag-and-drop BS no code and low code alternatives.

It’s like when Tailwind first came out, as someone who always wrote CSS from scratch it took me a while to see how Tailwind was not a framework but like an API for CSS.

I think we are in that phase of vibe coding where a lot of people judge it by the cover.

From today, anyone on your team can vibe code an AI agent with Chai. And every agent comes with a UI.

Personal apps 🤝 personal agents at scale!!

Start today at
↳ chai.new

We've seen how products like GitHub, Vercel and Supabase have changed how we build apps.

Now, we're doing the same for AI.

Making it accessible to every builder, every developer, not just ML experts.

3. Why now?

The foundation models are ready.

The tools are maturing.

But the glue that connects everything is still missing.

LLMs are evolving fast—like, literally every week. New standards pop up (looking at you, MCP), and APIs change faster than you can keep track.

The result?

Most AI agent projects never make it to production.

Those that do require constant maintenance and lack the reliability users expect. (new LLMs every week)

AI agents should be composable, reliable, and production-ready from day one. (minute one?)

2. What problem are we solving?

Every company is trying to build AI agents, but the infrastructure is missing. Takes too long. It's too expensive. Hire MLEs?

Teams are reinventing the wheel, building brittle systems that break in production + can't scale with their needs.

Chai removes all the complexity of:

• LLM orchestration (unified API)
• Tool integration (deployment and scale)
• Memory (long term memory Auto RAG)
• Deploy agents, and scale to millions
• Langbase processes 100M+/mo agent runs