starters VS foundation

GitHub source

The Knowledge, you’ve gained so far, is sufficient for you to be able to build applications with BCMS and Gatsby comfortably. But this application can still be improved further, dive into the starter codebase and study how it is made, learn, and model the way the project is structured.

Now it's time to build the Gatsby website with headless CMS. For this tutorial, I chose to create a static podcast website inspired by BCMS Gatsby starters.

Before the next step, let's talk about something equally important and interesting: The BCMS starters. These are a collection of fantastic websites built just for you, making it easy to set up your frontend without any hassle. There are more than 8 starters, including one for e-commerce. To use them, all you have to do is clone the repository and add your API keys.

Check out the repo to get started.

The long and detailed answer needs a new section in this blog, so here we go: for the long answer, keep reading this article at BCMS blog, or just start building Next.js projects with BCMS Next.js code starters.

I will use BCMS's Gatsby Blog Starter as an example to explain Gatsby routes:

Got the urge to show some appreciation? A ⭐️ star on the repo would be cool. https://github.com/bcms/starters

📖 Code

GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.

When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.

REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.

A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.

In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:

At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.

A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.

This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.

To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.

GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.