Goodbye localhost: why Quarkus + Vanilla JS + AWS Lambda + DynamoDB Is the Fastest Path from Idea to Production

AI-assisted development has changed everything. You describe what you want, an AI builds it, and in a couple of hours you have a working app on your laptop. I built re:Money — a full financial trac...

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Goodbye localhost: why Quarkus + Vanilla JS + AWS Lambda + DynamoDB Is the Fastest Path from Idea to Production

Source: DEV Community

AI-assisted development has changed everything. You describe what you want, an AI builds it, and in a couple of hours you have a working app on your laptop. I built re:Money — a full financial tracking app with dashboards, pivot tables, CSV import, and a chat interface — using Kiro, and it was genuinely fun. But here's the pattern I keep seeing: developers build something incredible with AI, demo it on localhost, and then... it stays on localhost. Deploying to production becomes the hard part. Suddenly you need Docker, Kubernetes, a managed database, VPC configs, CI/CD pipelines, and a cloud architecture degree. It doesn't have to be that way. The secret isn't just how you code — it's what you choose to build with. re:Money deploys to AWS Lambda with two commands because of four deliberate architectural choices: Quarkus as the framework, vanilla JavaScript for the front-end, AWS Lambda for compute, and DynamoDB for storage. Together, these four pieces made the gap between "works on my

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