Build apps with AI for the real world.
Practical tools, projects, and expertise for taking AI‑built applications from prototype to production.
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.
Focus areas
AI-assisted development
Practical workflows, experiments, and examples using modern AI development tools.
Production engineering
Security, reliability, observability, performance, and cost considerations for real applications.
Cloud infrastructure
Deployment patterns, infrastructure automation, integrations, and operating software in the cloud.
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 interested in making AI-assisted development practical for real-world applications.
Refaktr is my independent engineering lab where I experiment with AI development tools, build open-source software, and share what I learn about architecture, security, reliability, and operating applications in production. The projects and opinions shared here are my own.
Certifications
- AWS Solutions Architect – Professional
- AWS Solutions Architect – Associate
- AWS Cloud Practitioner
- AWS AI Practitioner