Reactable

What it is

Reactable analyzes codebases to identify hidden technical debt, architecture flaws, security vulnerabilities, and data privacy issues. It integrates with GitHub to assess repositories across twelve domains including authentication, code quality, application security, open source licensing, data privacy, and AI integration. The platform generates a readiness score and produces reports with grounded findings, effort estimates, and remediation guidance. Reactabot, an AI assistant, answers follow-up questions about findings in plain language. The service is designed for founders and builders shipping AI-generated apps, software consulting agencies delivering client projects, companies preparing for investment, and buyers conducting technical due diligence.

Questions from the bench

Can Reactable assess an app built with Lovable?

Yes. Sync your Lovable project to GitHub, then connect that repository to Reactable. The assessment reads the code, configuration, dependencies, and infrastructure your project contains and scores twelve domains. The same approach works for Bolt, Replit, Cursor, Claude, and anything else that pushes to GitHub.

Is AI-generated code safe to launch?

It can be, but running is not the same as safe. AI coding tools optimize for output that works on the first try, which is why hard-coded credentials, missing authorization checks, permissive storage rules, and unvetted dependencies show up so often. An assessment tells you which of those are actually in your repository rather than leaving you to guess.

Do I need a developer to use the readiness report?

No. The readiness report is written for a decision maker, and Reactabot answers follow-up questions in plain language about any finding. When you do want something fixed, the findings are specific enough to paste back into your AI builder or hand to a contractor without translating them first.

What does it cost to try an AI-built app assessment?

Nothing to start. Every new account gets 500 credits with no card required, which covers a full assessment plus follow-up questions with Reactabot. Paid plans add recurring monthly credits and team seats.

My AI builder already has a security scan. Why do I need this?

Builder-native scans are useful and worth running. They generally check a defined set of security patterns inside that tool. Reactable scores your repository across twelve domains — including code quality, architecture, licensing, privacy, accessibility, and observability — produces a readiness level you can track over time, and gives you a report anyone can read, including someone who did not write the code.