Deploy any app to any cloud with a single command. Take your app from Docker Compose to a secure and scalable deployment on AWS / GCP / Azure / DO in minutes.

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Joined November 2022
We just open-sourced the code that deploys your apps to AWS, GCP, and Azure. Same Compose file. Three clouds. The per-cloud Pulumi providers are now AGPL-3.0 on GitHub. And Azure is now a supported provider. defang.io/blog/post/open-sou… #opensource #ai #azure
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Defang retweeted
The next Papers We Love YVR will be held on October 20th: Less is More: Recursive Reasoning with Tiny Networks Register on Luma:
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Defang Station is where AI agents like Claude and Codex do your work. Connect it to the tools you already use, and when something happens, an agent picks it up and handles it.
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Defang retweeted
What I use my station for: - run Claude and Codex 24/7 from their native apps - create agent profiles with specific API keys in their env, eg. “awsdeployer” - use station public url for Github webhooks - ask Claude to delegate to Codex and v.v. - host sites on the station itself
We’ve just launched Defang Station on PH! This was something we built for ourselves, but turned out to useful for a few customers. After positive feedback we decided to make a site for it:
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An always-on workspace where Claude and Codex can collaborate and receive signals from the outside world, like application crashes, GitHub events, and more? Oh and of course it integratew with Defang Deploy, so you can deploy straight to your own cloud account 🚀 It's called Defang Station and we're launching it on Product Hunt today! producthunt.com/products/def…
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Defang retweeted
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity Tomorrow 6pm PT at the Polyglot Vancouver paper reading group. RSVP link below:
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From our latest Defang Live: Raph wants his agent infra to be dirt cheap.
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What do you delegate to your agents? Which models do you use? Why?
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What if there's no more CI/CD? Discussion in the latest episode of Defang Live.
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User feedback → coding agent → preview → production all embedded in your prod deployment. A tiny demo of what self-improving software could look like with @mastra and Defang. Full video in the reply 👇
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Deeper dive to see how it all works. We're digging deeper into this concept. Shoot us a message if you want to explore it together.
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