People can build surprisingly capable apps using tools like Cursor, Replit, Loveable, etc... but many of those projects never actually make it to a real production launch.
The apps work locally or in a demo environment, but the “last mile” tends to be where things stall:
• infrastructure and hosting • SSL and domain setup • environment variables and secrets • CI/CD pipelines • scaling and monitoring • security concerns
I’ve spent most of my career working in software engineering and DevOps, and recently started helping indie builders and small startups solve this exact problem, getting their AI-generated apps shipped to production.
I put together a page describing the typical deployment path and the kind of help I’ve been providing: https://infiniumtek.com/vibes/
I’m curious what others here are seeing.
For those building AI tools or AI-assisted products:
Where does the launch process usually break down for you?
Is it infrastructure, deployment complexity, security concerns, or something else?
- Thomas
elgreco31•1h ago
infiniumtek•1h ago
If you’re comfortable sharing, feel free to post the repo or describe the stack you’re using (framework, hosting, databases, etc.). Sometimes a quick architecture review can reveal the easiest path to production.
If you’d rather chat privately, you can DM me or reach out through the contact form here: https://infiniumtek.com/vibes/
Either way I’m happy to help point you in the right direction.