OpsCrew - Deploy AI-built apps to your own cloud, effortlessly
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OpsCrew is an open-source crew of AI agents that takes your app from a GitHub repo to a hardened production deployment on your own cloud. You approve every plan, and you keep the infrastructure code.
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Building apps has become incredibly easy with AI tools like Claude Code, Cursor, and Lovable, but getting those apps into production is still surprisingly complicated. You suddenly need to deal with servers, Docker, CI/CD, security, domains, and hosting costs.
I built OpsCrew to bridge that gap: an open-source AI-powered DevOps tool that helps developers go from a GitHub repository to a live application on their own infrastructure, without needing to become DevOps experts or getting locked into expensive hosting platforms.
The feedback I'd value most is whether the experience is genuinely simple enough for developers with little DevOps knowledge, how reliably it handles different tech stacks, and where users get stuck during deployment. I'd also love to hear which hosting providers, frameworks, and integrations people would like to see next.
It's still in alpha, so real-world testing, honest criticism, and bug reports are especially valuable.
Replies
Building apps has become incredibly easy with AI tools like Claude Code, Cursor, and Lovable, but getting those apps into production is still surprisingly complicated. You suddenly need to deal with servers, Docker, CI/CD, security, domains, and hosting costs.
I built OpsCrew to bridge that gap: an open-source AI-powered DevOps tool that helps developers go from a GitHub repository to a live application on their own infrastructure, without needing to become DevOps experts or getting locked into expensive hosting platforms.
The feedback I'd value most is whether the experience is genuinely simple enough for developers with little DevOps knowledge, how reliably it handles different tech stacks, and where users get stuck during deployment. I'd also love to hear which hosting providers, frameworks, and integrations people would like to see next.
It's still in alpha, so real-world testing, honest criticism, and bug reports are especially valuable.