Production ready
Security, environments, backups, logs, monitoring, rollback, and performance.
Insights
From vibe coding to software that keeps working.
Practical content for founders and companies who built products with AI and now need to take care of security, stability, technical debt, and evolution.
Editorial focus
Technical debt and maintenance
Regressions, tests, architecture, documentation, dependencies, and the cost of change.
Refactor or rebuild
Decision criteria, gradual migration, preserving the validated product, and handing off to another developer.
Tools and integrations
Lovable, Bolt, Replit, Cursor, Claude, Supabase, Firebase, Vercel, payments, and webhooks — inside real problems.
Published
Is your AI-built app ready for production?
See what to review in security, database, backups, tests, monitoring, and deploy before putting real users on an AI-built app.
More code does not mean more delivery: where AI moves the engineering bottleneck
AI can speed up code production without shortening lead time. Learn where the engineering bottleneck migrates and what signals to investigate.
Have a concrete question?
Bring us the real question.
Some questions are too specific to wait for a publication.