You built an app with AI. What happened when you tried to deploy it?
I’m building Inquir Compute, a platform for running apps, databases and background jobs in one workspace.
AI tools are helping more people write working applications. I’m interested in what happens next, when you need to put that app online and keep it running.
If you’ve deployed something you built with AI, where did you get stuck? Build errors, database connections, environment variables, unexpected costs or something else?
Tell me what you built, where you deployed it and what took longer than expected. I’d like to use those examples to decide what to improve in Inquir.
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2 examples from a Next.js app I self-host with Docker on a VPS behind Cloudflare. One env var gets baked into the bundle at build, so it has to be a Docker build arg, not just a runtime variable. Set only at runtime, the image built and deployed fine, and every uploaded image was blocked in production.
And other one hurt users: Cloudflare cuts a response at roughly two minutes, and my AI calls had a 110 second timeout. A slow generation finished on the server, spent the credit, and the browser got a 524. People retried and paid twice.
Inquir Compute
@siarheihamanovich as for the second example, you actually can try Inquir's durable functions, potentially it could help preventing such issues.
check: https://inquir.org/docs/durable