Bolt.new AI Scans & Code Reviews

Our AI scans your Bolt.new app end-to-end — finding the token-burn bugs, env-var leaks, and security holes the builder quietly left behind. Results in minutes, flat one-time price.

See pricing Start with a free scan

Bolt.new: Browser-Based Speed, Production-Grade Risk

Bolt.new is StackBlitz's AI full-stack builder — your project runs inside a WebContainer (Node.js in the browser), and Claude generates the code in real time. It's astonishingly fast at scaffolding a React/Vite app, and for prototypes it's hard to beat. The trouble starts the moment you take that project out of the browser. WebContainer pre-installs packages your export doesn't ship with, env-var prefixes don't translate, and Node version mismatches surface only when the user hits npm install.

On top of that, Bolt apps quietly burn tokens at the edges. Developers have reported spending $200 to $1,000+ in token costs debugging a single broken auth flow — the AI keeps re-generating around the bug instead of fixing it. Past roughly 15 components, the context window starts losing patterns: a guard that protected a route in iteration three disappears from the regenerated version in iteration eight, and nobody notices until production.

Why Your Bolt App Needs an AI Scan

Bolt regenerates code faster than anyone can re-read it. A guard that was safe in iteration three can vanish in iteration eight, so a one-off manual check goes stale the moment you prompt again. An AI scan keeps pace: up to 151 structured checks in minutes, and you can re-run it after every major regeneration instead of burning more tokens hunting bugs by hand.

It also goes well beyond a basic linter. The AI reasons about how your app actually behaves — flagging a payment flow that reaches the confirmation page without charging the card, a data layer that grants table-wide read access, or a service-role key baked into the client bundle during a regeneration. We've seen Bolt apps where the preview was perfect, the demo charmed the investor, and production broke on day one. That's the failure mode our AI scan exists to catch.

Common Bolt.new App Problems

Across the Bolt.new projects we've scanned, the same families of issues keep showing up:

  • Token-burn debug loops — single auth or layout bugs consuming millions of tokens as the AI re-generates around the problem instead of fixing it.
  • Context loss past ~15 components — the AI re-generates a component without remembering why an earlier guard existed, and the guard quietly disappears.
  • WebContainer → production mismatch — packages pre-installed in Bolt's runtime don't ship with the export; `npm install` fails locally, env-var prefixes don't translate, case-sensitive imports break on Linux servers.
  • Incomplete backend wiring — Supabase or Firebase integration is shallow; auth, RLS policies, and edge functions usually need manual finishing.
  • Hidden credentials and secrets — service-role keys baked into client bundles, API keys logged on first load, `.env` values exposed via the preview.
  • Deployment failures and blank screens — Netlify integrations breaking, larger projects deploying with regressions that didn't appear in the browser preview.
  • Inconsistent file edits and OOM crashes — the AI edits the wrong files, applies changes to the wrong component, or runs out of browser memory and loses the session entirely.

What Our Bolt.new AI Scans Cover

Our AI scans your Bolt.new app top-to-bottom — 41 checks in the Critical AI Scan, 151 in the AI-Powered Full Scan. Coverage includes:

  • Frontend code quality — component structure, accessibility, mobile behavior, error states, hydration mismatches.
  • Backend logic and APIs — endpoint correctness, error handling, retry safety, idempotency where it matters.
  • Authentication and session flow — sign-up, sign-in, OTP/password reset, token storage, session invalidation, role checks.
  • Database security — Supabase or Firebase RLS/IAM policies, edge-function permissions, public vs. authenticated queries, table-level grants.
  • Security and exposure — hardcoded secrets, exposed service-role keys, CORS, CSRF, XSS surfaces, dependency vulnerabilities.
  • Performance and load behavior — bundle size, render bottlenecks, N+1 queries, missing indexes.
  • Deployment configuration — env-var handling, build settings, headers, caching, WebContainer-to-production parity.

You get a prioritized fix list — severity-ranked, with an AI launch-readiness verdict and a ready-to-paste AI fix prompt for every issue that you can take back into Bolt or Cursor.

Pricing & Next Steps

Start with the free scan — paste your Bolt.new app URL on the home page and we'll run an automated check in seconds. If the score flags anything, upgrade to a deeper AI scan:

  • Critical AI Scan — $19. 41 AI checks on the highest-risk launch areas (auth, payments, database connectivity, data flow) with priority fixes and AI fix prompts. Results: minutes after intake.
  • AI-Powered Full Scan — $49. 151 AI checks across your full application — security, performance, architecture, scalability, and maintainability. Full prioritized fix plan. Results: minutes after intake.

Both are one-time payments, with no surprise invoices. Building a critical app that needs an extra audit? Human-verified reviews are also available on the pricing page.

View pricing Run the free scan first
FAQ

Bolt.new AI Scan — Common Questions

How is scanning a Bolt.new app different from reviewing a regular codebase?
Bolt apps start in a WebContainer environment (browser-based Node.js) but must work in production. Our AI scan checks for environment mismatches, missing dependencies, hardcoded secrets, incomplete database wiring, and the pattern loss that happens when projects exceed Bolt's context window. Generic linters and standard reviews miss these AI-specific failure modes.
What are the biggest issues you find in Bolt.new apps?
Context loss causing duplicate components and disappearing logic guards, incomplete backend setup (databases, auth, RLS policies not fully wired), token-burn cycles that hide structural problems, and environment-variable or case-sensitivity breaks on export. Our AI scan also flags deployment config issues and missing files that the export does not include.
Can I trust my Bolt.new app in production without an AI scan?
Not for production. Bolt's AI is non-deterministic and often leaves 30–40% of edge cases unhandled. Auth flows fail on password reset or token expiry, databases ship without RLS, and secrets can leak into client bundles. Every build should be scanned before launch, and re-scanned after major regenerations.
How much will my Bolt.new AI scan cost and how long will it take?
The Critical AI Scan ($19) runs 41 checks on auth, data flow, and payments. The AI-Powered Full Scan ($49) runs 151 checks across frontend, backend, security, performance, and deployment. Both deliver results within minutes of intake, with a prioritized fix list and AI fix prompts you can take back into Bolt.
Is my Bolt.new app safe during a scan?
Yes. Your Bolt.new project stays private. Any login credentials you provide for a scan are held in memory for that run only and are never written to our database or logs.