Build Your MVP, or Rescue the One You Shipped

MVP rescue is taking a product that works as a prototype and making it production ready. We audit the existing build, fix the parts that will not scale, harden security, and re-architect or rebuild where needed, so the product holds up under real users and real data.

Yes. We tune database schemas and queries, add proper indexing and caching, fix row level security, and move heavy logic into reliable services. Where the platform itself is the ceiling, we plan a staged migration to a stack that scales, without throwing away what already works.

Often not by default. A 2025 disclosure, CVE-2025-48757, found 170 of 1,645 scanned projects exposed data through missing row level security, across 303 insecure endpoints. We run a security audit, close the gaps, and add the access controls that AI builders tend to skip.

Vibe coding means building software by describing what you want to an AI tool such as Cursor, Claude Code, GitHub Copilot, Bolt, or Replit and shipping what it generates. It is fast for a prototype, but the output often ships without tests, error handling, or proper security, which is why many vibe coded apps stall once they meet real users.

Not by default. A 2025 Veracode study found 45% of AI generated code samples failed security tests, and the result did not improve with newer models. AI code is usually happy path only, with weak error handling and gaps in authentication and data access. It reaches production after a hardening pass that adds security, tests, monitoring, and load handling.

Yes. We audit the security and data model first, then rebuild what will not scale, add tests, error handling, CI, and monitoring, and hand you documented code you own. The same playbook works whether the app was vibe coded with AI, built on a no code platform, or written from scratch.

AI generated code tends to be optimistic. It handles the happy path but misses edge cases, error handling, and load, and it piles up duplicated code that is hard to change safely. GitClear measured duplicated code blocks appearing eight times more often in 2024 than in prior years as AI assistance spread. We make it stable by adding tests, refactoring the duplication, and hardening the weak spots.

Yes. We do a structured takeover. We review the code and the data model, document how it works, fix the urgent risks first, and hand you a maintainable codebase that your team or ours can own going forward.

It depends on how much of the foundation is sound. If the data model and core flows are solid, we refactor and harden. If the architecture cannot support where you are going, a focused rebuild is faster and cheaper than fighting the old one. We make that call with you after an audit, not before.

Yes. When you outgrow a no code or low code platform, we migrate the data and rebuild the logic on a stack you control, usually a Xano or Node backend with a React or Next front end. We avoid a hard cutover, so the live product keeps running through the move.