Services
Transform AI-generated code into production-ready SaaS
Got a working prototype from v0, Lovable, or Bolt.new? We refactor it into a secure, testable, and scalable production application with proper architecture, comprehensive tests, and automated deployment pipelines.
From vibe-coded prototype to production SaaS in 6 weeks
We analyze your AI-generated codebase, identify architectural gaps and security risks, then systematically transform it into a maintainable, testable, and deployable product. Every phase delivers concrete artifacts and measurable improvements.
Code audit & analysis
Week 1- Deep analysis of AI-generated code patterns, identifying security vulnerabilities, type safety gaps, and architectural anti-patterns
- Complexity metrics assessment (cyclomatic complexity, code duplication, coupling) and production-readiness gap report
- Map dependencies, missing tests, hardcoded values, and deployment blockers specific to v0/Lovable/Bolt.new output
Architecture & refactoring
Weeks 2–4- Refactor monolithic components into ports & adapters (hexagonal) architecture for vendor independence and testability
- Extract business logic from presentation layer; introduce proper state management, error boundaries, and validation layers
- Replace inline styles and scattered configs with design systems; add TypeScript strict mode and comprehensive type coverage
- Implement security hardening: CSP headers, input sanitization, rate limiting, authentication flows, and secret management
Testing & deployment
Weeks 5–6- Generate comprehensive test suites: unit tests for business logic, integration tests for APIs, E2E tests for critical flows
- Set up CI/CD pipelines with automated testing, linting (complexity guardrails), security scanning, and staged deployments
- Configure production infrastructure: containerization, environment management, monitoring, logging, and alerting
- Knowledge transfer documentation, runbooks, and team training for ongoing maintenance and feature development
The reality of AI-generated code
AI code generators are incredible for rapid prototyping, but the output is optimized for speed, not production readiness. Here's what research and industry experts have discovered about generated code quality.
AI code generators create functional prototypes fast, but 78% of AI-generated code requires significant refactoring before production deployment due to security, maintainability, and architectural concerns.
The average cyclomatic complexity of AI-generated functions is 3.2× higher than hand-written code, leading to maintenance nightmares and hidden bugs as projects scale.
Generated code lacks proper separation of concerns, making it nearly impossible to unit test, swap providers, or adapt to changing requirements without complete rewrites.
What makes our transformation different
From prototype to product
v0, Lovable, and Bolt.new are incredible for validating ideas quickly, but their output is optimized for speed, not scale. We transform your working prototype into a maintainable, secure, and testable codebase that can grow with your business.
Architecture that doesn't lock you in
AI tools often generate tightly coupled code with hard dependencies on specific providers. We refactor to ports & adapters patterns, giving you the freedom to swap auth providers, payment gateways, or databases without rewriting your entire application.
Production-grade infrastructure
Generated code rarely includes proper deployment pipelines, monitoring, or error handling. We build CI/CD automation, set up observability dashboards, implement feature flags, and create rollback strategies so you can ship with confidence.
What you receive
- Production-ready codebase with ports & adapters architecture, comprehensive TypeScript types, and complexity metrics ≤7 per function
- Complete test suite (unit, integration, E2E) with 80%+ coverage and CI/CD pipeline with automated quality gates
- Security hardening (CSP, input validation, rate limiting, secrets management) and production infrastructure setup
- Architecture documentation, API specs, runbooks, and team training for ongoing development