Guides, insights, and best practices for turning AI prototypes into production applications
Your first paying customer changes everything. Before someone pays for your AI-built app, make sure the product is secure, stable, usable, monitored, and ready to support real business expectations. Use this production checklist to review auth, payments, data, onboarding, support, monitoring, and launch risk before charging customers.
AWS is powerful, but it can feel overwhelming for vibe coders and AI-first founders. This guide explains how to deploy an AI-generated app on AWS without becoming an AWS expert, using simple managed services, safe defaults, deployment checklists, monitoring, and production-ready patterns.
AI-generated apps can be built fast, but without monitoring, production problems stay invisible. Learn how to add practical monitoring to your AI-built app in one afternoon, including error tracking, uptime checks, logs, performance monitoring, API alerts, AI usage tracking, and deployment visibility.
Replit is great for building and testing apps fast, but production apps often need stronger hosting, security, scaling, database control, and deployment workflows. Learn when to migrate from Replit and how to do it safely.
AI can help solo founders build apps faster, but shipping safely requires a simple CI/CD process. Learn how to set up testing, deployment, environment checks, rollbacks, and monitoring before real users arrive.
v0 can help you generate beautiful interfaces fast, but production apps need secure authentication and secret handling behind the UI. Learn how to protect private routes, API keys, user sessions, and backend logic before launch.
