Move your AI‑built app to infrastructure you control.
Practical tools, experiments, and lessons for taking your AI‑built app from prototype to production.
Platforms I work with
Production engineering
What happens after the vibe‑coded prototype starts working?
AI can build the MVP quickly. Production engineering starts when real users, data, failures, permissions, and costs enter the system.
Security
Authorization, tenant isolation, secrets, least privilege.
Reliability
Retries, idempotency, failure handling, recovery.
Observability
Logs, metrics, traces, evaluations.
Performance
Latency, concurrency, scaling, load.
Cost
Infrastructure and inference economics.
Posts
- Article: Three fixes for your site on S3 + CloudFront9 minSubfolder pages, real 404s, and redirects for a static site.
- Video: Host your Lovable site in your own AWS account5 minExport from Lovable, upload to Prodify, create CloudFormation stack in AWS.
- Article: Can AWS Agent Toolkit keep Claude Code current on AWS?7 minAgent Toolkit helped Claude Code discover and use a newer AWS feature it otherwise missed.
- Video: Deploy a website to AWS with Claude Code6 minClaude Code, three plugins and a live site in S3 and CloudFront in minutes.
Focus areas
AI-built apps
What Lovable, Replit, Base44, and Claude Code produce, and what it takes to own and run it.
Hosting control
AWS, Cloudflare, Vercel, and the tradeoffs between them, including when another platform is the better choice.
Production engineering
Security, reliability, observability, performance, and cost once real users depend on your app.
Projects
Prodify
Take a Lovable app to AWS. Converts the project into a CloudFormation template for S3 + CloudFront hosting in infrastructure you control.
View project →Watchy
SaaS status monitoring in Amazon CloudWatch — Slack and GitHub incidents, metrics, and alarms in your own AWS account.
View project →
About
Bennett Borofka
I'm a cloud architect and software builder. I show founders how to take what they built with AI and run it on infrastructure they control, and I publish what I build, test, break, fix, and measure along the way.
AWS is what I know best. I also work with apps on Lovable, Replit, Base44, Supabase, Vercel, and Cloudflare, and I'll say when another platform is the better choice. Refaktr is the business behind my tools, and Prodify and Watchy are free. The projects and opinions shared here are my own.
Certifications
- AWS Solutions Architect – Professional
- AWS Solutions Architect – Associate
- AWS Cloud Practitioner
- AWS AI Practitioner