Supabase's October 30 Data API Change: How to Fix New Tables Safely
From October 30, 2026, new Supabase tables are unreachable from supabase-js until you grant access. What breaks, the safe fix, and why RLS comes first.
Practical guides on shipping AI-built apps. From prototype to production, we cover the last mile.
From October 30, 2026, new Supabase tables are unreachable from supabase-js until you grant access. What breaks, the safe fix, and why RLS comes first.

AI coding tools are great at prototypes and terrible at production software. Here's why, with real failure modes and what to do about them.

Bolt.new gets you to a working app in minutes, but its code has patterns that break in production. Seven specific issues, with code-level fixes.

It works locally, but is your Cursor project ready for real users? A pre-launch checklist for security, testing, error handling, and deploy config.

Your Lovable app works in preview, but preview isn't production. A step-by-step guide to deploying with proper security, config, and monitoring.

Lovable builds apps fast, but security gaps can expose user data. The 10 most common issues in Lovable apps and how to fix each one before launch.

We analyzed 100 repos built with Cursor, Lovable, Bolt, and v0. The pattern is consistent: AI tools build fast but leave critical gaps. Here's the data.

v0 generates beautiful UI with Tailwind and shadcn, but UI isn't an app. What v0 gets right, what it misses, and how to take its output to production.

A tool-agnostic pre-launch checklist for vibe-coded apps: security, testing, error handling, deploy config, performance, SEO, and monitoring. No fluff.

Developers say AI agents fully write about 47% of their code; Google says 75% of its new code. What each figure measures, plus quality and security data.

You built something with Cursor, Bolt, or Lovable. Shipping it is a different challenge. A practical guide to closing the last-mile gap.

A prioritized checklist for taking your AI-built app from 'it works' to 'it's ready.' P0 items block shipping, P1 within a week, P2 before scaling.

Vibe coding (building software by feel with AI tools) is how millions of developers work now. Here's how to keep the speed without shipping the risk.

An honest comparison of Cursor, Lovable, and Bolt: what each does well, the gaps all three leave, and how to close them before you ship.

The gap between npm run dev and a production deploy is where most AI-built apps die. A step-by-step guide to getting your Next.js app live and reliable.

AI tools generate code but never tests. A minimum-effort testing strategy that catches the bugs that matter before your users find them.

The five most common security failures in AI-generated code, and how to catch them before your users do.

Supabase is the default backend for AI-built apps. Without proper RLS policies, user data is one API call from exposure. Here's how to lock it down.

AI tools generate the happy path, but production is the unhappy path. Six error handling patterns AI keeps skipping, and the code to fix each one.

We ran FinishKit on five real AI-built apps, from a Cursor SaaS to a Lovable marketplace to a Bolt landing page. Here's every finding, ranked by severity.