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Practical engineering guidance for AI-built apps

Production readiness, security, deployment, databases, and maintainability for people building with Lovable, Bolt.new, Cursor, Claude Code, and other AI development tools.

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Dark technical illustration of an AI-generated codebase with inherited implementation marks influencing future changes

Your AI-Generated Codebase Has an “Epigenome”

A working AI-generated feature can still teach the codebase bad habits. The codebase epigenome is th…

I Built My App in Lovable. When Do I Need a Developer?

A practical decision guide for founders using Lovable: what you can keep prompting, what deserves en…

Hero illustration for the article 'Why AI-Built Apps ‘Mostly Work’ but Fail at Launch: 10 Failure Patterns'

Why AI-Built Apps ‘Mostly Work’ but Fail at Launch: 10 Failure Patterns

An AI-built prototype can look finished while still carrying launch-blocking risks. Here are the ten…

Hero illustration for the article 'Before Sending Traffic: WordPress + SaaS App SEO, Analytics, Privacy, and Launch Checks'

Before Sending Traffic: WordPress + SaaS App SEO, Analytics, Privacy, and Launch Checks

A WordPress site and a separate app can work well together, but only when search, analytics, onboard…

Hero illustration for the article 'Production Readiness for AI-Built Apps: Tests, Monitoring, Backups, and Support'

Production Readiness for AI-Built Apps: Tests, Monitoring, Backups, and Support

Production readiness is the ability to detect, contain, explain, and recover from failure. Here is t…

Hero illustration for the article 'Security Checklist for Vibe-Coded Apps: What to Fix Before Real Users Arrive'

Security Checklist for Vibe-Coded Apps: What to Fix Before Real Users Arrive

Security failures in AI-built apps are rarely one mysterious hack. They are usually ordinary trust-b…

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