Your AI-built software. Our engineering. Ready for production.
Already built an application with AI coding tools? Blocvibe turns AI-generated code into secure, maintainable, well-tested software: we refactor the architecture, finish and customise the features, raise the interface to a professional standard and take it to production.
- TypeScript
- React
- Next.js
- Python
- REST APIs
- Relational databases
- GSAP
The service
What is vibe coding, and where does Blocvibe come in?
Vibe coding is building software by describing what you want to an AI coding tool and letting it write the code. It can turn an idea into a working prototype quickly. AI vibe coding and software customization is the engineering that comes next: auditing the generated code, refactoring and securing it, finishing the features and design, and taking it to production.
Who it is for
- Founders with an MVP built on an AI app builder
- Teams whose AI-generated internal tool now handles real data
- Businesses with an AI-built website that needs a professional finish
When to consider it
- Each new prompt seems to break something that used to work
- You are unsure whether the app’s logins and data are secure
- The prototype impresses in a demo but is not ready for customers
AI Solutions and Integration
Which AI service fits?
Three related services for three different starting points.
- AI SolutionsAI applied to specific business tasks, with people reviewing the results.
- AI IntegrationAI features added to the software your team already uses.
- AI Vibe Coding and Software CustomizationThis pageEngineering that takes software built with AI coding tools from prototype to production.
The challenge
The business problem
AI coding tools can produce a working first version remarkably quickly. But a demo that works is not the same as software a business can rely on. Generated code often repeats itself, skips authorization checks, stores data in a shape that will not scale and has no tests to show what still works after the next change. Teams are then left choosing between patching it themselves and starting again.
Our capabilities
How we help
Start from what you have
We audit the existing codebase and keep what is sound, instead of assuming everything must be rebuilt.
Engineer it properly
Senior developers refactor the architecture, secure logins and data, and add the tests that make further changes safe.
Finish and polish
Custom features, a consistent interface, purposeful motion and a production deployment turn the prototype into a product.
From problem to fix
Prototype-quality architecture
Fix: A structure designed for the product: clear layers, shared components and room to grow.
Broken or incomplete features
Fix: Each feature traced end to end, finished and tested against how it should work.
Repeated, hard-to-maintain code
Fix: Duplicates consolidated into shared components and functions.
Security weaknesses
Fix: Authentication, authorization, input validation and secrets handled properly.
An inconsistent interface
Fix: One design system, so every screen looks and behaves the same way.
Poor mobile responsiveness
Fix: Layouts that adapt to phones, tablets and desktops, tested at common widths.
Database and API problems
Fix: Data models, queries and API error handling that hold up with real data.
Performance bottlenecks
Fix: Bundle size, rendering, queries and images measured and improved.
No automated tests
Fix: Tests for the critical journeys, so the next change does not break the last.
Deployment and environment issues
Fix: Separate environments, managed secrets, monitoring and a repeatable release.
What we can improve
From codebase audit to production deployment
Codebase auditing
A structured review of architecture, code quality, security and performance, with prioritised findings.
Architecture refactoring
Clear layers, shared components and a data model that can grow, changed in safe steps.
Bug fixing
Bugs reproduced, fixed at the cause and covered by tests so they stay fixed.
Custom feature development
New features built properly into the existing application.
UI/UX transformation
A design system, responsive layouts and accessible, consistent screens.
API and database improvements
Reliable APIs, proper error handling and a database designed for your data.
Security hardening
Authentication, authorization, validation, secrets and dependency updates.
Performance optimization
Faster loading and rendering, measured before and after.
AI integration
AI features added inside the product through APIs, with review steps where they are needed.
Production deployment
Environments, monitoring, backups and a repeatable release process.
How it works
How Blocvibe transforms AI-generated software
Stage 1 of 5
AI prompt and vibe code
Where you start: an application generated with tools such as Claude Code, Cursor, Bolt, Lovable or v0. We read and run it to understand what it does today and what it needs to do.
- Your idea, built with AI tools
- A working prototype
- Code in your repository
Our process
Our engineering process
- Step 1:
Existing codebase discovery
we read the code, run it and learn what it should do. You receive a map of the application and its gaps.
- Step 2:
Technical and security audit
architecture, code quality, data access, dependencies and performance are reviewed. You receive prioritised findings.
- Step 3:
Architecture and refactoring
duplicated code is consolidated and the structure made maintainable, without breaking working features. You receive a refactored codebase.
- Step 4:
UI/UX and feature customization
missing features are built and the interface made consistent, responsive and accessible. You receive finished features and design.
- Step 5:
Testing and optimization
automated tests cover the critical journeys, and performance is measured and improved. You receive a test suite and performance results.
- Step 6:
Production deployment
environments, secrets, monitoring and backups are set up for launch. You receive a production release, made with your approval.
- Step 7:
Ongoing support
fixes, updates and new features after launch. You receive a maintenance plan.
Limits to keep in mind
Typical use cases
- A founder’s MVP built with an AI app builder that is ready for real customers
- An AI-generated internal tool that now handles real data and needs proper access control
- An AI-built website that needs a professional design and motion
- A prototype whose database and APIs have to cope with growth
- A codebase that started breaking as features were added by prompt
What you receive
- Codebase audit with prioritised findings
- Refactored architecture and consolidated components
- Security fixes for authentication, authorization and data access
- Automated tests for the critical user journeys
- Production deployment and handover documentation
Technologies and integrations
- TypeScript
- React
- Next.js
- Python
- REST APIs
- Relational databases
- GSAP
Motion and visual engineering
Motion that explains, not just decorates
AI tools rarely produce considered motion. We add it where it helps people understand the product, and keep it fast and accessible.
GSAP scroll experiences
Sections, diagrams and product stories that respond to scrolling, loaded only on the pages that use them.
Motion (Framer Motion) interactions
Component-level transitions and gestures in React interfaces.
Animated dashboards
Numbers, charts and status changes that draw attention to what changed.
Interactive product demonstrations
Walk-throughs that let visitors try a workflow instead of reading about it.
Page transitions
Smooth movement between views that keeps people oriented.
Motion in data visualisation
Charts that build in steps, so a trend is easier to follow.
With motion: the card builds in order and the figures count up, so the eye follows what matters.
Motion respects each visitor’s reduced-motion setting, avoids layout shifts and never hijacks scrolling. This site’s own scroll effects are built with GSAP.
AI tools we work with
The tools behind modern AI-built software
Tools in our own workflow, and in the codebases clients bring us. They speed up the work; experienced engineers stay responsible for the architecture, security, testing and every release.
AI coding assistants
- Claude CodeAnthropic’s agentic coding tool for the terminal and editor.
- GitHub CopilotAI pair programming in the editor and on GitHub.
AI development environments
- CursorA code editor built around AI assistance.
- WindsurfAn AI-native code editor.
AI application builders
- BoltBuilds full-stack web apps in the browser from prompts.
- LovableBuilds web apps through conversation.
AI UI generation
- v0Generates React interfaces and apps from prompts.
AI video and motion
- AI motion and video workflowsAI-assisted motion graphics and video, refined by hand.
Logos are trademarks of their owners and show tools in our workflow and in the codebases clients bring us. They imply no partnership or endorsement. The GitHub Copilot mark is used under the MIT License.
Industry applications
Where AI vibe coding and software customization helps
Practical examples of how this service applies in different sectors.
Healthcare and wellness
- The challenge
- A clinic manager built a booking prototype with an AI app builder, but it stores personal details without proper access control.
- The solution
- Authentication and role-based access rebuilt, encrypted connections and a reviewed data model, with the booking flow kept.
- How it works
- The audit maps where personal data is stored and who can see it, access rules, validation and logging are added, and the booking flow is tested end to end.
- The benefit
- The tool rests on properly secured foundations, ready for the clinic’s own compliance review.
- Next.js
- TypeScript
- Relational databases
Construction and real estate
- The challenge
- A property team generated a lead and viewing tracker that works on a laptop but not on site.
- The solution
- Responsive layouts, forms that save reliably on weak connections and a cleaned-up data model.
- How it works
- Screens are rebuilt on a design system that works on phones, forms save reliably, and duplicate records are merged.
- The benefit
- Agents use the same tool in the office and on site, with one reliable record per property.
- React
- TypeScript
- REST APIs
Manufacturing
- The challenge
- An engineer built a production log dashboard with AI, and it slows down as data accumulates.
- The solution
- Database indexes, faster queries and rendering, and pagination for large tables.
- How it works
- Slow queries are measured and fixed, heavy screens are split and paginated, and tests confirm the figures still match.
- The benefit
- The dashboard stays responsive as months of production data build up.
- Python
- Relational databases
- React
Retail and e-commerce
- The challenge
- A shop owner’s AI-generated store has an inconsistent design and a fragile checkout.
- The solution
- A design system for the storefront and a checkout built on an established payment provider.
- How it works
- Product and checkout screens move onto shared components, payments go through the provider’s API, and the purchase journey is covered by automated tests.
- The benefit
- A consistent, trustworthy store, with card details handled by the payment provider.
- Next.js
- React
- REST APIs
Logistics
- The challenge
- A dispatch tool generated by prompts breaks whenever a new feature is added.
- The solution
- A refactored structure with shared modules, and automated tests around dispatch.
- How it works
- The audit finds duplicated logic, it is consolidated into shared modules, and tests cover booking, assignment and status changes before new features are added.
- The benefit
- New features can be added without breaking the ones the team relies on.
- TypeScript
- Python
- REST APIs
Education
- The challenge
- A training company’s AI-built course portal has no proper roles for learners, trainers and administrators.
- The solution
- Role-based access, with course content and progress records kept apart.
- How it works
- Roles and permissions are defined, every screen checks them on the server, and progress records are linked to the right learner and course.
- The benefit
- Each person sees only what they should, and progress data can be trusted.
- Next.js
- TypeScript
- Relational databases
Professional services
- The challenge
- A consultancy’s AI-generated client portal has API keys written into its code and no record of who opened which document.
- The solution
- Secrets moved into managed configuration, access logging and a security review.
- How it works
- Keys are replaced and moved out of the code, access to client documents is logged, and dependencies are updated and checked.
- The benefit
- Client documents sit behind proper access control, with a record of who opened what.
- Python
- REST APIs
- Relational databases
Technology Companies and SaaS Startups
- The challenge
- A startup proved its idea with an AI-built MVP and now needs subscriptions, separate customer accounts and reliable releases.
- The solution
- Each customer’s data kept separate, billing through a payment provider and a release pipeline with tests.
- How it works
- Customer data is separated, subscription plans are added, and every change runs through automated tests before it is deployed.
- The benefit
- The MVP becomes a product that can take on paying customers.
- Next.js
- TypeScript
- REST APIs
Business value
What it changes for your business
Keep what already works
Building on the existing code avoids paying twice for the parts that are sound.
Software you can trust
Security, tests and error handling make it safe to use with real data and customers.
From prototype to product
Starting from a working prototype can shorten the path to launch compared with rebuilding from scratch.
A codebase that can grow
A clear structure and shared components make the next feature easier to build and test.
A professional finish
A consistent design, responsive layouts and purposeful motion make it feel like a finished product.
Why Blocvibe
Why choose Blocvibe
The right technology should simplify work, solve meaningful problems and leave room to grow. We focus on practical solutions shaped around your goals.
AI-assisted, human-engineered
AI tools help us move faster; experienced engineers stay responsible for the architecture, security and every release.
Full-stack capability
Frontend, backend, databases, APIs and deployment, in one team.
Custom software experience
The engineering we apply to custom business software, applied to your AI-built product.
Codebase modernisation
Refactoring and restructuring existing code without losing what works.
UI/UX and motion design
Design systems, responsive interfaces and purposeful motion.
API and system integration
Connections to payments, CRMs, accounting tools and other systems.
Testing and quality assurance
Automated tests for the journeys that matter, run on every change.
Production deployment
Environments, monitoring and releases handled carefully, and with your approval.
Frequently asked questions
What is vibe coding?
Vibe coding is building software by describing what you want to an AI coding tool and accepting the code it generates, often with little manual review. It is a fast way to reach a working prototype; turning that prototype into dependable software usually needs engineering review.
Can Blocvibe improve software created using AI tools?
Yes. We work with the existing codebase: audit it, fix what is broken, refactor what is fragile and build what is missing. How much can be kept depends on the code and your requirements.
Can you work with a codebase created using Cursor or Claude Code?
Yes. Tools such as Cursor and Claude Code produce ordinary source code in your repository, so we work with it like any other codebase, keeping its language and framework where they suit the product.
Can you fix bugs in AI-generated applications?
Yes. We reproduce each bug, fix its cause rather than the symptom, and add tests so it does not return.
Can you redesign an AI-generated website?
Yes. We redesign it on a consistent design system with responsive layouts, accessibility and motion, keeping the content and functionality that work.
Can you improve the security of AI-generated code?
Yes. The audit covers authentication, authorization, input validation, secrets, data access rules and dependencies, and we fix what it finds. No review can guarantee that software has no vulnerabilities, so we also put in place the practices that keep it secure.
Can you transform an AI prototype into a SaaS product?
Often, yes. Accounts, roles, subscriptions, separated customer data and production infrastructure are added or rebuilt as needed. How much of the prototype is kept depends on its code and architecture.
Can you improve mobile responsiveness?
Yes. Layouts are rebuilt to adapt to phones, tablets and desktops, and tested at common screen widths.
Can you integrate APIs and databases?
Yes. We connect third-party APIs such as payments and email, and review or redesign the database so it holds your data reliably as it grows.
Can you add GSAP and Framer Motion animations?
Yes. We add scroll-driven and interactive motion with GSAP or Motion (formerly Framer Motion) where it helps people understand the product, load it only where it is used, and respect visitors’ reduced-motion settings.
Can you help deploy an AI-built application?
Yes. We set up hosting, environments, secrets, monitoring and backups, and release the application to production with your approval.
Do we need to rebuild our existing application?
Usually not. Most AI-built applications have parts worth keeping. The audit shows which parts to keep, refactor or replace, so you only rebuild what genuinely needs it.
Built it with AI? Let’s make it production-ready.
Bring us your AI-generated codebase, prototype or application. Our engineers will identify what needs to improve and help turn your first build into a reliable product.