What does our AI code rescue service cover?
We repair and complete web applications, backends, mobile apps, and automated workflows generated through AI prompts. Our team works across frontends built with Next.js, React, Nuxt, Vue, and Angular, paired with backend services written in Node.js, NestJS, Go, Rust, Java with Spring Boot, or Python. If your prototype contains AI features such as large language model integrations, retrieval-augmented generation pipelines, or autonomous agent workflows, we harden the prompt plumbing and data pipelines. We also rescue cross-platform mobile apps built with Flutter and React Native, replacing brittle generated code with structured state management, reliable data persistence, and clean platform bindings.
How do we turn prompt-generated code into production software?
We begin with a deep codebase audit to map structural bottlenecks, circular dependencies, exposed secrets, and unhandled edge cases. Rather than recommending an expensive scrap-and-rebuild cycle, we isolate what works and systematically refactor what fails. Our engineers implement automated test suites, enforce strict static typing, modularize backend routines, and optimize database schemas across PostgreSQL, MongoDB, and Redis. We deploy resilient continuous integration pipelines and secure container environments. Clients can collaborate with us through full agency project delivery or by integrating our dedicated developers directly into their internal engineering workflows to work side by side.
Why is fixing generated code challenging, and how do we solve it?
AI tools generate code that looks plausible on the surface but ignores runtime realities. Models often hallucinate package APIs, invent redundant database queries, omit critical error boundaries, and scatter business logic across unrelated files. Fixing these defects requires senior human engineers who recognize architectural traps that automated tools introduce. Because our agency engineers design, ship, and operate complex commercial applications and proprietary software products, we know where generated code breaks under live user traffic. We replace hallucinated shims with battle-tested libraries, establish clear separation of concerns, secure authentication paths, and implement structured logging for reliable production debugging.
Is this rescue service the right fit for your team?
This service is designed for non-technical founders who used prompt tools to build a minimum viable product and now face roadblocks scaling it for paying customers. It is equally valuable for CTOs and technical leaders who inherited prototypes stitched together by fast experimentation and require experienced hands to stabilize the architecture without halting ongoing business operations. If your engineering backlog is clogged with mysterious runtime bugs, stalled feature releases, or sluggish database operations caused by machine-generated boilerplate, we provide the seasoned development power required to make your product secure, dependable, and ready for commercial growth.
Frequently asked questions
What factors influence the cost of fixing an AI-generated codebase?+
Project investment depends on the breadth of architectural remediation required, the complexity of underlying business logic, and the volume of external integrations such as payment processors, authentication systems, or third-party APIs. Well-structured prototypes with clear product requirements require fewer engineering revisions, whereas applications suffering from severe security vulnerabilities, tangled state management, or unindexed database tables demand more intensive refactoring. We evaluate your existing repository to determine precise project scope before commencing any billable development work.
What determines how quickly our rescued application can launch?+
Delivery schedules vary based on codebase size, existing test coverage, and whether core architectural patterns can be preserved or must be rebuilt. Prototypes that require modular component refactoring and basic API fixes can be stabilized much faster than systems requiring complete database restructuring or secure data migration. Defining priority user journeys helps us focus immediately on mission-critical features, allowing your team to release stable software increments while we systematically remediate non-critical technical debt in the background.
Who owns the intellectual property and code once the rescue is finished?+
You retain full ownership of all intellectual property, source code, and associated technical assets throughout the entire engagement. Marsys Group operates strictly as a work-for-hire agency. We commit clean code directly into your private version control repositories and hand over all infrastructure configurations, deployment pipelines, and environment documentation upon task completion. There are no proprietary lock-ins, licensing restrictions, or hidden dependencies on our internal tools, giving your team complete freedom to maintain or expand the software independently.
Will we need to discard our current framework and start over?+
We preserve your existing technology choices whenever feasible. If your prototype was started in Next.js, React, Nuxt, Flutter, or Node.js, we focus on untangling logic, adding types, and optimizing performance within that ecosystem. We only recommend shifting a framework or language if your chosen tooling fundamentally prevents your application from meeting security standards or handling target operational scale. Any platform transition is discussed transparently with your leadership, presenting clear engineering trade-offs before changes begin.
What engagement models are available for rescuing our application?+
We offer flexible working arrangements tailored to your organizational structure. For businesses seeking turnkey execution, our studio takes complete ownership of project delivery, guiding your software from code audit through testing and production deployment. Alternatively, if you already have an in-house engineering team, we provide dedicated developers who embed directly into your sprints, collaborating via your issue trackers and communication channels. Both models maintain direct communication and transparent code reviews throughout development.