Backend & APIs
Application logic, integrations and services.
Full-stack engineering
The right technology.
For the whole product.
CygnaByte works with Go, Python, Laravel, Node.js and NestJS on the backend; React, Vue.js and Svelte on the frontend; and MySQL, PostgreSQL and MongoDB for data.
CYGNABYTE / ENGINEERING
One connected application.
Choose the pieces around the product requirements.
01
The user experienceReact · Vue.js · Svelte
02
The application layerGo · Python · Laravel · Node.js · NestJS
03
The data foundationMySQL · PostgreSQL · MongoDB
New applicationsExisting products
Technologies we work with
End-to-end capability.
A considered stack.
These are the technologies our team works with. Each project uses a focused selection, based on its existing codebase, workflows, integrations and maintenance needs.
Frontend & interfaces
Responsive product interfaces and web applications.
Databases & data
Data models that support the product workflow.
How the stack supports delivery
From a new build
to the next release.
We can work across a complete application or focus on the layer your existing product needs.
Tell us about your codebase →Backend development with Go, Python and PHP
We use Go (Golang), Python and Laravel for backend development. This work can include APIs, business logic, integrations, background tasks and AI-enabled features. For an existing product, we begin with the application’s architecture and conventions so new work fits the codebase. Laravel remains part of our PHP development capability alongside our Go and Python work.
Node.js and NestJS applications
Our JavaScript backend stack includes Node.js and NestJS. We can develop API endpoints, application services and integrations, or extend an existing backend. Request validation, authorization, error handling and tests form part of the implementation plan, with the precise architecture agreed around the workflow.
Frontend development with React, Vue.js and Svelte
We work with React, Vue.js and Svelte to build product interfaces, dashboards, forms and customer-facing web applications. The interface should make the underlying workflow easy to follow, including loading states, validation, permissions and recovery from errors. When extending an application, we follow its existing component and design patterns.
MySQL, PostgreSQL and MongoDB
Our database stack includes MySQL, PostgreSQL and MongoDB. We review the existing data model, relationships, query patterns and operational requirements before recommending changes. Data migrations, indexes and application access rules need to be planned together. A new feature should work with the data structure and protect existing records.
Choosing the stack
Start with the product
and the team behind it.
Technology selection should account for how the application will be used and maintained. We discuss the existing stack, essential integrations, data requirements and expected workload before choosing an approach.
Building something new
Define the first release, the user journeys and the systems it needs to connect to. Then choose a manageable stack for the product.
Extending an existing product
Review the current architecture, release process and tests. Add features using the conventions and capabilities already in place.
Adding AI capabilities
Connect models, retrieval or controlled workflows to your application’s permissions, data and interface.
Explore AI integration →Start with the idea
Your next chapter starts with a conversation.
Tell us what you want to make possible. We’ll help you define a useful next step.