Engineering Journal
Technical writeups on migrating AI-generated applications to hardened production infrastructure. Real deployments, real failures, real fixes.
AI tools made your prototype look production-ready in 72 hours. Three months later, the database is leaking, the auth layer is collapsing under real traffic, and the API costs are spiraling. This is the architecture failure nobody talks about.
Read articleLovable, Bolt, and v0 generate impressive frontend code. But they generate zero production infrastructure. Here is the exact gap between a local preview and a live, hardened deployment — and why closing it requires engineering judgment, not more prompts.
Read articleRow-Level Security is the single most important layer in a Supabase deployment. AI tools almost never configure it correctly. This is what a broken RLS policy looks like in production, and how we audit and patch it before your data is exposed.
Read articleNEXT_PUBLIC_ prefixes, service-role keys leaking into client bundles, and missing variable declarations at build time. These are the three most common environment variable failures in AI-generated Next.js apps — and every one of them is preventable.
Read articleThe Pages Router and the App Router are not interchangeable. When AI tools output a mix of both, or default to patterns that break under the App Router, the result is a build that compiles locally and crashes in production. Here is the migration playbook we run on every client codebase.
Read articleYou do not need a Kubernetes cluster. You need a branch protection rule, a working build check, and a deployment that does not break when you push a typo. Here is the minimum viable CI/CD stack for a solo founder shipping on Vercel.
Read articleEngineering Journal
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