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AI code rescue is the work of taking software generated with AI coding assistants and app builders and making it secure, maintainable and ready for paying customers. These tools produce working features remarkably fast, but they often leave gaps that only show up under real use: secrets in front-end code, authorization handled only in the interface, missing tests, duplicated logic and no repeatable deployment.
7 articles
How AI code rescue turns fast AI-generated prototypes into secure, maintainable production software, step by step.
Read More about AI Code Rescue: Turning Prototypes into Production Software →The steps to take an AI-generated SaaS prototype to production: code review, security, tenancy, tests, billing and operations.
Read More about Building a Production-Ready SaaS from AI-Generated Code →A practical checklist for reviewing and fixing an app built largely with the Cursor AI code editor before real users rely on it.
Read More about How to Fix a Cursor-Generated App Before Production →A step-by-step guide to exporting, fixing and deploying an application built in Bolt.new so it runs reliably outside the browser editor.
Read More about How to Fix and Deploy a Bolt.new Application →A step-by-step plan for rescuing a stalled MVP: securing assets, assessing the code, deciding fix or rebuild and restarting delivery.
Read More about How to Rescue an Incomplete MVP Development Project →How to tell when an app built with Lovable needs expert engineering help, and what that help should cover before launch and growth.
Read More about Lovable App Development: When You Need Expert Engineering Help →Posts tagged here explain the general rescue process, from securing ownership of code and accounts to assessment, stabilization, testing and selective refactoring. Tool-specific guides cover apps built in the Cursor editor, Lovable projects backed by Supabase and Bolt.new projects that need to leave the browser environment. Others explain how to turn an AI-generated prototype into a production SaaS and how to recognize the moment an app needs a professional engineering team.
A rescue done before launch is far cheaper than one forced by a security incident or a wave of regressions. Most rescues keep more of the original work than founders expect, because the interface and workflows are often sound even when data access needs rework.
Our application upgradation team assesses AI-built codebases and stabilizes them in planned stages, while our AI solutions engineers keep AI tools in your workflow with review and testing in place. Every engagement starts with a written assessment you can act on.
