What is vibe coding and how is it different from traditional development?

Vibe coding uses AI coding assistants, Cursor, Claude Code, ChatGPT, GitHub Copilot, Bolt, Lovable, Replit Agent, to build software through natural language prompts rather than writing every line manually. It allows non-technical founders and small teams to build working software dramatically faster. The trade-off: AI-assisted code needs checks for security, test coverage and architecture against the actual release requirements.

Which vibe coding tools do you work with?

Share the application stack, source access, known issues and release goals. We assess whether the codebase fits the review and implementation scope before agreeing remediation work.

What are the biggest risks of shipping vibe-coded software to production?

Potential review areas include: (1) Security vulnerabilities, hardcoded secrets, SQL injection, missing auth, weak session management. (2) Missing or incomplete tests can allow silent regressions. (3) Architecture and capacity should be checked against expected usage. (4) Dependency vulnerabilities, dependency security and maintenance status need verification. (5) No monitoring or observability. (6) Infrastructure suitability depends on workload, configuration and data requirements.

How do you productionise a vibe-coded application?

Five phases: (1) Security audit, critical/high findings prioritised within the agreed scope. (2) Architecture refactoring, service layers, separation of concerns, proper error handling. (3) TypeScript conversion, strict mode, shared interfaces, Zod validation at boundaries. (4) Test suite, unit, integration and e2e tests with GitHub Actions CI/CD. (5) Production infrastructure migration, your cloud accounts, custom domain, SSL, monitoring, automated backups.

How much does it cost to productionise a vibe-coded application?

Cost depends on the existing code, required remediation, integrations, testing and release responsibilities. A scoped review identifies what needs attention before implementation is estimated. Agree review fees, deliverables and commercial terms for the actual work.

Should I continue using AI coding tools after productionisation?

Yes, and we encourage it. Cursor and GitHub Copilot dramatically accelerate feature development. The critical difference after productionisation: your codebase has TypeScript types, test coverage and architectural structure that support review and testing of AI-generated additions. New Cursor-scaffolded features can be code-reviewed and merged into a production-quality codebase rather than accumulating technical debt.

Can you add new features while productionising the app?

We strongly advise against it. Productionisation is fixing security issues, restructuring code and adding tests. Adding features during this phase increases scope, timeline and risk. Correct sequence: productionise first, then build features on the clean production-ready foundation. We enforce this on every engagement.

How is this different from the Replit productionisation service?

The Replit service focuses on applications built or hosted in Replit. This service considers AI-assisted codebases after reviewing their stack, dependencies, hosting and release requirements.

Cursor · Claude Code · Bolt · Lovable · GitHub Copilot to Production

Vibe coding
to production

Turn an AI-built prototype into a scoped engineering plan for release. CV Infotech reviews the existing code, identifies the work that matters for your users and implements agreed fixes, tests and deployment changes. Production readiness depends on the application and its acceptance criteria, not the AI tool used to create it.

AI-Built Application Review

Security Audit, Prioritised Findings and Remediation

Architecture Refactoring, Service Layer Pattern

TypeScript Strict Mode, Shared Types Frontend/Backend

Jest · Pytest · Playwright, Agreed Test Coverage

AWS · Vercel · Railway, Infrastructure You Own

Discuss my prototype Discuss review scope

Scope

Project Terms

Scope

Code Review

Fit

Stack Review

Work

Published Evidence

ClutchRead feedback TrustpilotRead feedback WorkPublished examples

Overview

Vibe Coding Has Changed Software Development, Production Still Requires Engineering

The term "vibe coding", building software by describing what you want to an AI and iterating on its output, emerged in 2025 as a description of a practice that millions of developers, founders and product people were already doing. Tools like Cursor, Claude Code, GitHub Copilot, Bolt and Lovable have genuinely democratised software creation in a way that rivals what Wix and Squarespace did for website creation.

The gap between "this prototype works" and "this is ready for production" is the gap CV Infotech fills. Vibe-coded applications are optimised for speed of creation and functional demonstration. Production applications are optimised for security, reliability, maintainability and the ability to evolve over time as a team. Bridging that gap requires checking the actual implementation against agreed product and release requirements.

Share the tool and codebase context for review: Replit Agent, Cursor, Claude Code, GitHub Copilot, Bolt, Lovable and anything else. The tech stack generated determines the productionisation approach, the category of problems is identical regardless of which AI tool wrote the code.

Every AI Tool, Every Tech Stack

We productionise applications generated by Cursor, Claude Code, ChatGPT, GitHub Copilot, Bolt, Lovable, Replit Agent, Vercel v0, Windsurf and any other AI coding assistant. The productionisation methodology adapts to the specific stack, Node.js, Python, Go, PHP, React, Next.js, Vue, Svelte, whatever the AI generated.

Security Before Features, Always

Review security findings before release. Agree which issues block release, the remediation and testing responsibilities, and how unresolved risks will be recorded and accepted.

Productionise First, Then Build Features

We enforce a strict sequence: productionise the existing codebase completely, then begin feature development on the clean, tested, production-ready foundation. Mixing productionisation with new feature development is the fastest way to inflate timelines and accumulate new technical debt.

Agree the review scope first

Describe the product, current codebase and release decision. Agree what will be reviewed, how access will be provided and which findings need implementation before committing to a delivery scope.

Tools We Support

Every Major Vibe Coding Tool, Covered

The source tool provides context, but the review depends on the actual codebase, dependencies and intended deployment. Confirm whether the stack and required work fit the engagement.

Cursor

AI Code Editor · Model options vary

Context: Full codebase awareness in VS Code fork

Common risk: High quality generation but still requires security review and tests

Claude Code

Terminal Agent · Claude 3.5/3.7 Sonnet

Context: Agentic coding in your terminal

Common risk: Strong reasoning; still produces untested code without security-first mindset

GitHub Copilot

IDE Extension · Model options vary

Context: Multi-file edit, inline suggestions

Common risk: Common source of insecure autocompleted patterns in auth and data handling

Bolt.new

Browser AI Builder · Claude

Context: Full-stack in browser, StackBlitz runtime

Common risk: Produces functional prototypes; not production-ready without security audit

Lovable

AI App Builder · Claude

Context: Describe app, receive full-stack

Common risk: Excellent for prototyping; architecture not designed for long-term team maintenance

Replit Agent

Cloud AI Builder · Various LLMs

Context: Full-stack on Replit cloud platform

Common risk: Works well as prototype; hosting suitability depends on workload and configuration

Our Services

Vibe Coding Productionisation Services

Everything required to turn a vibe-coded prototype into a production application your team can safely maintain and extend for years.

Vibe-Coded App Security Audit

Scope a security review for the application and its dependencies. Relevant checks may include exposed secrets, authentication and access controls, injection risks, session handling, rate limits and dependency vulnerabilities. Agree the coverage, evidence, exclusions and remediation priorities; no review establishes that every defect has been found.

Architecture Refactoring for Production

Restructure AI-generated code from a functional prototype into a maintainable production architecture. Business logic extracted from API route handlers into a proper service layer. Repository pattern for database access. Dependency injection where appropriate. TypeScript strict mode applied throughout with shared interfaces between frontend and backend. Proper error handling, structured logging and environment configuration management on startup.

TypeScript Conversion, Strict Mode

Convert JavaScript vibe-coded codebases to TypeScript with strict mode enabled, helping identify type errors during development; runtime validation and testing remain necessary. Shared type definitions for API contracts between frontend and backend. Zod schema validation at API boundaries. TypeScript-aware ESLint configuration. No any types, every type must be explicit or demonstrably inferred.

Test Suite, Unit, Integration & E2E

Add comprehensive test coverage to an untested vibe-coded application. Unit tests for all service layer functions with mocked dependencies, testing business logic in isolation. Integration tests for all API endpoints against a test database with real transactions rolled back after each test. End-to-end browser tests for critical user journeys using Playwright. GitHub Actions CI/CD pipeline runs all tests on every pull request, no code merges to main without green tests.

Production Infrastructure Migration

Migrate from prototype hosting to production infrastructure in your own cloud accounts, never on CV Infotech infrastructure. Vercel for Next.js or React frontends. Railway for Node.js or Python backends. AWS EC2, ECS or App Runner for enterprise requirements. Database migration from prototype SQLite or shared databases to managed PostgreSQL (Supabase, PlanetScale, AWS RDS) or MongoDB Atlas. Custom domain, SSL, CDN, monitoring with Sentry and Datadog, uptime alerting and automated daily backups.

Ongoing Engineering, Retainer or Sprint

After productionisation, CV Infotech continues as your engineering team. Monthly retainer or sprint-based. New features built to production standards. Code review for AI-assisted additions from your team using Cursor or GitHub Copilot, allowing your team to maintain the velocity of AI-assisted development with the safety of professional engineering oversight. The scope and review process determine how AI-assisted changes are tested and accepted.

For a stalled or inherited product with wider delivery problems, explore software project rescue.

How It Works

From Vibe-Coded Prototype to Production, Step by Step

Security first. Always. Then architecture, TypeScript, tests and infrastructure. The sequence depends on the agreed risks and scope.

Scoped code review and release plan

Scoped review

Begin with the application goal, current stack, known issues and intended release. Agree the review scope and arrange repository access through a secure process. Use the observed findings to decide which fixes should block release, what can follow later and what needs further investigation before an implementation estimate.

Review findings · Architecture notes · Scoped proposal · Release plan

Security Hardening, Critical Issues First

Prioritise findings

Prioritise confirmed security findings according to risk and release requirements. Agree responsibility for credential rotation, access controls, dependency updates and regression testing. Record unresolved risks and release decisions.

Prioritised Critical/High findings addressed within scope · Secrets rotated · Parameterised queries · Auth middleware · Rate limiting · Dependency updates

Architecture Refactoring & TypeScript

Scope-dependent

Restructure the codebase with proper separation of concerns, route handlers, service layer, repository layer. TypeScript strict mode added throughout. Shared type interfaces between frontend and backend defined in a shared package or monorepo structure. Zod validation at API entry points. Environment configuration validated on application startup rather than silently missing at runtime. Structured logging with Winston or Pino replacing console.log calls.

Service/repository architecture · TypeScript strict mode · Shared types · Zod validation · Structured logging · Error handling

Test Suite & GitHub Actions CI/CD

Scope-dependent

Tests written alongside the architectural refactoring, not as an afterthought. Unit tests for every service function with mocked repositories. Integration tests for every API endpoint using a test database. Playwright end-to-end tests for the 5–10 most critical user journeys. GitHub Actions workflow: lint, type-check, unit tests, integration tests, e2e tests, deployment. Branch protection on main requires all checks to pass before merge.

Unit test suite · Integration tests · Playwright e2e · GitHub Actions workflow · Branch protection · Code coverage report

Production Infrastructure Migration

Scope-dependent

Provision production infrastructure in your cloud accounts. Database migration with a migration and recovery plan appropriate to the database and availability requirements. Environment variables migrated to cloud secrets manager. Monitoring configured with Sentry for error tracking and Datadog or CloudWatch for infrastructure metrics. Uptime alerting via PagerDuty or plain email. Automated database backups tested with a restore drill before DNS cutover.

Production deployment · Planned DB migration · Secrets management · Error tracking · Infrastructure monitoring · Backup/restore tested

Documentation, Handover & Ongoing Support

Agreed support

Agree source access, licensing, architecture notes, API documentation and deployment runbook requirements. Define monitoring, defect handling and support coverage before handover.

Source access · Architecture notes · API reference · Deployment runbook · Support scope

FAQ