MVP development for startups, from prototype to production

Yes. We take over apps that founders built in Lovable, Bolt, Cursor, Replit or v0, and codebases a freelancer handed over. We start with a Production-Readiness Audit of the code, the database and how logins and secrets are handled, then fix what matters most first. These apps are often a React front end on a hosted PostgreSQL database, a mainstream stack for our team, so we keep the parts that work instead of starting over.

It is a fixed-scope review of the prototype you already have. We check how authentication, secrets and database access rules are set up, review the code, test coverage and architecture, and hand you a prioritized fix list with a launch plan. You see exactly what has to change before real users arrive, with a fixed estimate for the work, and then decide whether we do it, your team does, or both.

An MVP, or minimum viable product, is the smallest version of a product that delivers real value to early users, enough to validate demand and learn from actual usage before investing in a full build. It is deliberately narrow but genuinely useful, focused on the single most important thing your users need. A prototype can prove the idea; an MVP also has to be safe for real users and their data.

It depends on scope, and the scoping step ends with a fixed estimate. We keep it short by scoping the essential slice first: the one workflow that proves the idea, with everything else on a roadmap for later. For an existing prototype, the timeline depends on what the audit finds, and the fix list separates what must be done before launch from what can follow.

We start from the riskiest assumption the product needs to validate and cut everything that does not directly test it. During scoping we separate must-have-for-launch features from later-roadmap ones, push back on anything that can wait, and define a single clear first version. Shipping fewer features that work beats a large plan that never launches.

Scope and starting point drive it. For a new MVP: the number of core workflows, how many third-party systems you integrate, web only or web and mobile, the depth of any AI feature, and how much custom design the first version needs. For an existing prototype: how much of the code can be kept, how sensitive the data is, and how far the security and data access fixes reach. Keeping the first version tight is the most effective way to control both cost and time, and the audit or scoping step ends with a fixed estimate.

Yes. Our engineers use AI tools for scaffolding, code generation, tests and review, which shortens delivery. Every change still goes through an experienced engineer’s review and automated tests before it reaches your users, because unreviewed AI-written code is exactly the problem a prototype runs into when real users arrive.

Yes. You own all source code and intellectual property we produce, committed to your repositories as we build, with no lock-in, so you can bring the work in-house or move to another team at any time. If your prototype depends on a hosted builder today, we map what it takes to move it onto infrastructure you own.