I really take this for granted now, but in less than 30 mins, we:
- generated a realtime collaborative app
- deployed it into an authenticated & secure env
- used the software together
- and then let AI agents use it seamlessly on their own!
so get smart about how you generate code... example token analysis of compilation output.
model generates DSL / intermediate format, compiler turns it into actual runtime code.
need to only generate 796 tokens to deploy 8,265 tokens.
10x+ token difference (!!)
To my knowledge, I think we have the best abstraction and utilization of @cloudflare’s Durable Objects ever.
They become an invisible layer to some seriously impressive primitives.
We've entered a completely new era of app & system extensibility... and I'm more excited than ever about an AI-driven stack we've been building... more soon
In the meantime, we are narrowing down our focus on what's new, and sunsetting the old.
As such, mcp . run and XTP will go offline this week!
Thanks to all who helped shape these products. I think you're going to really like what is coming next.
5/
@dylibso introduces Turbo MCP for enterprise security. This self-hosted gateway enables regulated industries to connect apps to AI safely.
https://t.co/YluIhA0HXl
Connect your apps to AI on your terms. Introducing Turbo MCP, our enterprise-friendly, self-hosted MCP security platform and connectivity gateway.
If you're looking to bring AI productivity to your workplace, Turbo MCP was designed with partners in highly-regulated industries, ready to meet the most rigid security requirements.
👉https://t.co/YcJ5uOwEfS
What if AI could extend your app’s capabilities?
Steve Manuel (@nilslice), founder and CEO of @dylibso, joins @sjmaple on AI Native Dev to decode MCP and reveal how https://t.co/q4I9ogcSae lets developers safely scale AI beyond its original limits.
He dives into how developers can extend AI beyond text, connect to diverse data sources, and design enterprise-grade workflows with confidence, all with MCP.
Catch their full conversation now. Link in the comments.
The risk of letting AI do more than autocomplete? It can quickly spin out of control.
On this episode of AI Native Dev, Steve Manuel (@nilslice), founder and CEO of @dylibso, unpacks MCP, the protocol that keeps AI extensions safe and predictable, and dives into https://t.co/q4I9ogckkG, his framework for tapping into shared MCP servers without losing control.
With @sjmaple he shares:
• why plugin-safe AI might be the most significant shift in developer tooling this decade
• how https://t.co/q4I9ogckkG isolates compute to prevent AI-driven code from being unpredictable, letting developers experiment without risk
• the practical and surprising ways web-connected agents expand what applications can do, from automating workflows to integrating new capabilities
• why first-party code remains essential even in an AI-native world
(00:00) Trailer
(01:32) Deep Dive into MCP Architecture
(04:50) Trust and Security in MCP Servers
(21:11) Managed vs. Self-Hosted MCP Servers
(26:48) Understanding Serverless and MCP Servers
(29:10) Developing and Deploying on https://t.co/q4I9ogckkG
(33:20) Security and Authentication in MCP
(38:31) Future of MCP and AI Innovations
I've joined @dylibso as CTO.
I've been a huge fan of the team for pushing software extensibility with WASM (Extism, ChicoryVM, XTP) and bringing the same vision to AI infra (mcp·run, TurboMCP).
Pumped to help shape the next gen of AI products.
Let's make software squishy.
Excited to be at #AIInfraConnect this week, showing off our new self-hosted, cloud-native enterprise MCP platform!
It's not just devs, everyone is connecting everything to AI... if you want to streamline SSO + IdP integration, OAuth, DCR, and tool security, find our booth with this epic backdrop 👀