Software & App Development
Take Your Bolt.new to Production
Export your Lovable or Bolt prototype into maintainable code. We configure real databases, secure authentication, and cloud infrastructure under expert engineering oversight.
Who brings us prototype transition projects
You built a functional prototype using Bolt.new or Lovable, but you need professional engineering to secure your data, wire a real backend, and deploy safely to production.
- Non-technical founders who validated an idea with an AI prototype and need a production-ready application for real users
- Product teams that used Lovable or Bolt to prototype features quickly and need clean, maintainable code merged into their stack
- Agencies and operators who need an experienced technical partner to turn approved AI mockups into secure web applications
From AI-generated prototype to reliable software
AI prototyping tools like Bolt.new and Lovable let founders build impressive web interfaces in hours. However, taking a bolt.new to production requires critical technical steps that AI prompts cannot resolve alone. Client-side prototypes often expose private API keys, lack proper database schemas, and omit backend role checks. When you need to productionize bolt.new app prototypes or export lovable app to production, Canvas Developers provides the engineering oversight you need. Our experienced software engineers review the exported code, decouple sensitive logic, configure Postgres or Supabase databases, and establish clean CI/CD pipelines on Vercel or AWS. You keep the speed of rapid prototyping while our team ensures your application is stable, secure, and ready for paying customers.
AI-assisted speed, engineer-led production readiness
How AI assists
- Exporting and modularizing raw Bolt.new and Lovable component trees into structured codebases
- Drafting relational database schemas, typed data models, and initial backend API routes
- Generating unit tests and end-to-end browser test scripts for core user workflows
- Drafting cloud deployment configurations, Dockerfiles, and CI/CD pipeline steps
What our experts own
- Engineers audit security, move secrets off the client, and enforce server-side authorization
- Architects design database integrity, connection pooling, migrations, and indexing strategies
- QA specialists test edge cases, permission boundaries, and payment webhooks across devices
- DevOps specialists configure production hosting on AWS or Vercel with monitoring and rollbacks
What you receive
How we turn your prototype into production software
Codebase extraction and cleanup
We export your prototype from Bolt.new or Lovable into a clean Git repository, reorganizing auto-generated files into a maintainable modular architecture.
Production database integration
We replace mock data and browser-local state with production databases like Supabase or PostgreSQL, complete with relational schemas, migrations, and indexing.
Secure authentication and authorization
We implement robust user sessions, OAuth, and server-side role checks, ensuring sensitive client endpoints cannot be manipulated by untrusted browser requests.
Secret management and API security
We move third-party API keys and payment credentials out of browser code and into secure server environments with strict rate limiting.
Automated testing and QA validation
Our QA team verifies critical user journeys—such as checkout, onboarding, and data submission—backed by automated end-to-end regression tests.
Cloud infrastructure and CI/CD
We establish automated deployment pipelines to AWS or Vercel with preview branches, SSL certificates, environment isolation, and error alerting.
Engagement stages, inputs and delivery
Transparent milestone-based scoping
We begin with a thorough technical audit of your Bolt.new or Lovable prototype. We identify missing backend logic, define database requirements, and agree on clear milestones with fixed deliverables.
What you provide to get started
Share your Bolt or Lovable project URL or exported code, access to your target cloud accounts (such as Vercel, Supabase, or AWS), and your business requirements for authentication and data storage.
Handover and post-launch support
You receive full ownership of the clean Git repository, deployment pipelines, and architecture documentation. We offer ongoing maintenance and feature development plans to support your growth.
Where each layer of your production application lives
A typical architecture split when moving an AI-generated prototype to production cloud hosting.
In the user's browser
- Responsive React UI components and client routing exported from Bolt or Lovable
- Instant client-side form validation and accessible interactive UI states
- User authentication tokens stored securely in HTTP-only session cookies
- Zero secret API keys or database connection strings: client code is strictly public
On the server and API layer
- Server-side rendering and edge routing for fast page loads and SEO
- Protected API endpoints executing business logic and input sanitization
- Session verification and role-based access checks on every request
- Secure communication with payment gateways and transactional email providers
- Server-side environment variables and private secret management
Cloud database and external services
- Production relational database (PostgreSQL or Supabase) with backups and encryption
- Object storage buckets for secure user file uploads and asset delivery
- Third-party payment processors like Stripe handling sensitive credit card details
- Continuous integration pipelines triggering automated builds and canary releases
Typical prototype transition scenarios
Typical scenarios we scope, not client case studies.
SaaS prototype with mock data to real PostgreSQL
A founder built a multi-tenant dashboard in Bolt.new with hardcoded sample metrics. We exported the application, wired a PostgreSQL database with Prisma ORM, implemented Supabase authentication with row-level security, and deployed the production app to Vercel.
Marketplace prototype with exposed Stripe keys
An entrepreneur created an on-demand booking interface in Lovable, but payment webhooks and secret API keys were exposed in client-side code. We moved all transaction logic to secure Node.js serverless functions and configured safe webhook processing.
Internal operations portal needing enterprise SSO
An agency prototyped an internal operations workflow tool using Bolt. We hardened the codebase, replaced mock user switching with Google Workspace SSO, audited role permissions, and deployed the service to client-managed AWS infrastructure.
Our prototype-to-production process
- 01
Prototype audit and scoping
We review your Bolt.new or Lovable project, identify security vulnerabilities, evaluate third-party dependencies, and define a clear milestone scope.
- 02
Database and backend wiring
We export the code, build robust database schemas, move sensitive logic to server routes, and connect authentication and payment providers.
- 03
Engineering review and QA
Our engineers conduct line-by-line code reviews while QA specialists validate edge cases, permissions, form validations, and mobile responsiveness.
- 04
Production launch and handover
We deploy your hardened app to AWS or Vercel, set up monitoring and logging, and hand over the repository with comprehensive architecture documentation.
Two ways to work with AI tools
Choose where AI coding agents may process your code while we build. The engineering standard is the same either way.
- Private / Local AI Engineering
Privately hosted models inside infrastructure you control or an agreed isolated environment.
Discuss with this package - Claude Code / OpenAI Codex Engineering
Claude Code and/or OpenAI Codex with cloud settings your organization approves.
Discuss with this package
Not sure? We'll recommend one during scoping. Compare AI delivery options
Why expert engineering matters for vibe-coded apps
Architecture that outlasts the prototype
AI coding assistants build screens quickly but struggle with long-term code organization. Our engineers structure codebases so your team can add features without regression headaches.
Real security over client-side trust
Prototypes frequently execute critical business rules in the browser. We enforce strict server-side verification, protecting user data, proprietary business logic, and payment processing.
Reliable deployment pipelines
Moving past one-click demo hosting requires real DevOps. We build reproducible deployment pipelines with staging environments, health checks, and verified rollbacks.
Ongoing stability and maintenance
Once in production, software requires monitoring, dependency patching, and scaling. We offer scoped ongoing engineering support to keep your application performant and secure.
What falls outside this transition service
- Native mobile applications requiring App Store or Google Play deployment are handled under our Mobile App Development service.
- Legacy systems or non-AI codebases requiring deep architectural refactoring belong under our Application Modernization & Stabilization service.
- Full-scale custom enterprise ERP or CRM development from scratch is covered under our Custom Software Development service.
- Proprietary AI model training and custom fine-tuning workflows are scoped separately under our AI Features and Agents service.
FAQ
Frequently asked questions
Why can't I deploy my Bolt.new or Lovable app directly to production?
Bolt.new and Lovable create functional interactive prototypes, but the generated code often keeps state locally or exposes private API keys in client-side bundles. Deploying directly risks data loss and security vulnerabilities. Taking a bolt.new to production requires wiring a real database, securing environment variables, and validating permissions on a backend server.
How do you export a Lovable or Bolt.new app to our own Git repository?
When you export lovable app to production or extract code from Bolt, we push the source code into a private GitHub or GitLab repository that you own. We then refactor fragile generated components, establish strong typing, and set up continuous integration pipelines.
Do I need a bolt new developer hire or an agency team?
Hiring a solo developer can be risky when your project requires frontend refactoring, database design, security hardening, and cloud DevOps. As a specialized lovable dev agency and software engineering firm, Canvas Developers supplies senior engineers, QA testers, and DevOps specialists in one structured milestone engagement.
Where do you deploy the productionized application?
We deploy to modern cloud environments based on your product needs, such as Vercel, AWS, or Supabase. We configure production and staging environments, custom domains with SSL, and automated logging and backups before your product accepts traffic.
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Ready to take your prototype to production?
Share your Bolt.new or Lovable prototype with our team. We will review the code, outline necessary security and architectural hardening, and provide a clear milestone proposal.