What we find inside Lovable, Bolt, Cursor and Replit projects, and how to fix it before launch.
Two massive zero-day vulnerabilities (CVE-2026-109618 and CVE-2026-109619) have exposed 74% of the internet to Unauthenticated Remote Code Execution. Discover how these PHP memory flaws affect your AI-generated app's backend and the immediate steps you must take to secure your infrastructure.
The real issue: AI tools writing unpinned package dependencies (^latest) that silently break when upstream npm packages deploy breaking changes. The dread of redeploying a working app to fix a typo, only for the CI/CD pipeline to fail completely.
The real issue: AI models code for the 'happy path' and rarely implement resilient fallbacks for declined cards, expired sessions, or network timeouts. How silent UI failures make visitors assume the company is a ghost town.
The real issue: Heavy reliance on single-page React apps where meta tags and pages are blank to search engine web crawlers. Spending weeks on marketing only to realize Google isn't indexing your landing pages.
The real issue: The sudden realization before launch day that legal compliance, rate limits, API safety, and backups have not been verified. A comprehensive pre-launch checklist comparing demo-ready apps against production-ready software.
The real issue: AI code generators importing whole npm libraries for single utilities, producing massive JS bundle sizes. Losing 60%+ of mobile landing page traffic before the application even finishes mounting.
The real issue: Unhandled dropped connections during streaming responses (Server-Sent Events), leaving UI spinners hung indefinitely. Why real users on mobile data report your app as 'broken' while your dev environment tests fine.
The real issue: Committing straight from AI tool web interfaces to the main branch with zero staging, automated tests, or rollback mechanisms. The pain of pushing an AI prompt update that takes down payments on a Friday evening.
The real issue: Asking an AI prompt to change a model, which executes destructive migrations or drops table columns containing live user data. A cautionary tale of losing early customer signup records during a simple feature update.
The real issue: Exposing raw backend AI wrapper routes with zero IP rate limiting, token quotas, or bot prevention. Demonstrating how a simple 5-line bash loop can spam an endpoint 10,000 times in 60 seconds.
The real issue: Building a custom retrieval or search agent that anyone can plug into external scripts without authentication. How scrapers use your LLM credits as their free API proxy.
The real issue: AI models generating unbounded recursive function calls or streaming loops that keep serverless execution instances open until timeouts trigger. Breaking down how micro-charges turn into thousands of dollars overnight.
The real issue: N+1 queries, lack of database connection pooling, and running memory-heavy tasks on basic server instances. The transition from a local SQLite or mock dataset to a live database with high latency.
The real issue: Building a multi-tenant SaaS where database tables have Row-Level Security (RLS) turned off or misconfigured. Showing how easy it is to change an ID parameter in an API fetch call and read competitor database records.
The real issue: Apps that hide buttons or redirect users using React/Vue state, while the underlying API routes or database queries remain completely open. 'Hiding a page is not security.' Demonstrating how direct curl requests bypass frontend-only guards.
The real issue: Storing conversation logs or user context in shared global states, open tables, or cache stores without session-bound scoping. The legal and privacy nightmare of customer prompts accidentally appearing in another user’s chat feed.
The real issue: Developers leaving development Firestore/Supabase rules intact to make the prototype work, forgetting to lock them down before launch. How database dump tools scrape unprotected databases in seconds.
The real issue: AI generators frequently place server-side environment variables into client-side bundles (e.g., in Next.js or React Vite files). A step-by-step guide showing how easily anyone can inspect client bundles to steal keys, drain Stripe balances, or hijack webhooks.
The real issue: Misunderstanding how client vs. server builds work; bundling NEXT_PUBLIC_ or Vite frontend files that embed the key directly into public HTML/JS. Explaining the difference between runtime server environments and static build variables in plain English.
The real issue: Committing .env or service tokens early in development, then pushing a 'fix' commit without purging git history. Walkthrough of automated bots scanning GitHub commits within 5 seconds of a repo going public.
The real issue: AI coding assistants often instantiate Supabase clients using the master service role key rather than the public anon key. A live example showing how a rogue user bypassed every permission check because the client held full database administrative access.
AI tools can get you 80% of the way there, but the final 20% requires complex architectural decisions. Learn how to transition from prototype to a secure, scalable production application.
Don't waste engineering budget fixing low-priority automated scanner noise. Discover why prioritized, human-led code reviews in plain English protect your real critical logic.
Protect your intellectual property and live production environments. Learn the best practices for granting non-invasive access during third-party security audits.
A single security scan isn't enough when you are constantly shipping AI-generated features. Explore why continuous monitoring prevents security regressions post-launch.
Learn how to evaluate exposed signals with our step-by-step guide. We'll show you how to identify public header exposure and leaking client bundles.
Discover the common pitfalls in AI code with our detailed breakdown. We expose frequent issues like API keys in bundles and open DB rules.
Understand the difference between looking finished and being production-ready. We highlight the risks of missing backend authorization in AI-generated apps.
Follow this tutorial on managing environment variables to secure your secrets. Learn how to prevent hardcoded keys in public repositories.
See how a single bot attack can exhaust your quota when limits are missing. We demonstrate the dangers of unmetered AI API calls.
Audit and fix technical SEO leaks to improve user retention. Address missing dynamic metadata and heavy bundles that slow down your app.
Use our checklist to trim host and LLM expenses effectively. Learn how to identify oversized tiers and unoptimized API calls.
Use this diagnostic guide to identify performance bottlenecks before scaling. Discover how slow SQL queries and oversized bundles impact load times.
Follow this go-live checklist to ensure your security and authentication are solid. Avoid deploying with missing configs and unverified webhooks.
Learn how AI tools mistakenly ship full DB keys to the client. We explain the dangers of leaking the SERVICE_ROLE_KEY in your client bundle.
Review architectural guidelines for proper data isolation in multi-tenant apps. Prevent data leaks across customer boundaries with robust security measures.
Walk through proper middleware verification to secure your Firebase Auth setup. Learn why client-trusting models and incomplete verification are dangerous.
Discover why AI often skips RLS and how you can secure your database. We cover the risks of disabled or misconfigured RLS policies.
Implement proper fallback mechanisms for your AI agents. Learn how to handle uncaught downstream exceptions and implement API retry logic.
Build a lightweight safety net with CI/CD pipelines for your apps. Avoid the vulnerability of deploying straight to production without backups.
Address common edge cases ignored by AI in mobile development. Fix broken mobile auth and offline crashes in your production apps.
