From AI-built prototype to professional product.
Next Scale's AI Software Rescue audits, hardens and prepares for production the systems built with Cursor, Claude Code, Lovable, Bolt, Replit and other tools.
Prototyping is one stage. Operating is another.
AI made building software accessible. The next challenge is technical: turning what works in a demo into something that works with real users, real data and new demands every month. It isn't about undoing what was built. It's about giving the product the engineering it needs for its next phase.
What we review
Seven dimensions that decide whether a system is ready for production.
- Code
- Organization, duplication, conventions, dependencies and ease of maintenance.
- Architecture
- Separation of concerns, coupling and the capacity to absorb growth.
- Security
- Authentication, authorization, input validation, secrets and vulnerable dependencies.
- Data
- Modeling, integrity, indexes, migrations and backup strategy.
- Testing
- Coverage of critical flows and the confidence to change the system without fear.
- Performance
- Queries, load times, resource usage and behavior under load.
- Operations
- Deployment, environments, monitoring, logs and incident response.
How the diagnosis works
Kickoff call
We learn about the product, its users and where you want to take it.
Access and analysis
We review the repository, architecture, database and infrastructure.
Prioritized report
We deliver findings ranked by impact, with clear recommendations.
Action plan
We define the path: what to fix first, what to evolve and what to rebuild.
Who it's for
- Founders with an AI-built product that needs to go to production.
- Companies with internal systems built by non-technical teams.
- Teams that inherited a prototype and need to evolve it safely.
- Products that already have users and are starting to hit technical limits.
Questions about AI Software Rescue
Can't find what you're looking for? Write to us.
Yes. We work with systems built in Lovable, Cursor, Claude Code, Bolt, Replit and other tools, as well as hand-written code. We start by understanding what exists, so we can decide what to keep, what to adjust and what to rebuild.
Yes, and it's a common path. The prototype has already validated the idea. The work that follows is complementary: reviewing architecture, database and security, adding tests and preparing operations, so the system can support real users and keep evolving.
Yes. We build custom systems, from MVPs to SaaS platforms, portals, APIs and integrations, with an architecture designed to scale from day one.
We talk through the product and its goals, analyze the code, architecture, data, security and infrastructure, and deliver a report with findings prioritized by impact, plus an action plan with next steps.
Yes. After delivery we stay with the system through maintenance, monitoring, fixes and new features, in whatever format suits your team and your product.
Your next step starts with good architecture.
Tell us where your project stands and what you want to achieve. We'll reply with next steps.
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