What a monorepo + backend-for-frontend + cross-platform client actually is, why the combination feels unfamiliar, how I built a runnable template for it from scratch, and—most importantly—how to scale it from a weekend project to a many-team codebase without it rotting.

Two different jobs that both say 'AI': using a coding agent to build and maintain a repo, and building AI into the product itself. How to drive Claude efficiently, what agents and MCPs actually are (with Figma/Linear/GitHub examples and the gh-vs-MCP call), and—when you want a feature that talks to a model—how to structure an AI service and wire it into the frontend and backend templates from the last few articles. The condensed version of everything I've learned shipping both.

GraphQL is a new API standard to provide an alternative to REST, it has been gaining popularity along the community and this series is meant to learn what makes it so good over REST.

GraphQL has different libraries that enhances the experience of the developer and helps us produce code easier. We can add Prisma as an ORM that enhances our connection with the client by adding resolvers to the queries.

GraphQL has different libraries that enhances the experience of the developer and helps us produce code easier. In the case of React we have Apollo has a our connection with the server that uses Prisma.

In these series of posts we will learn how to build a social network from scratch, we can login using JSON web token, create a user profile, edit it, delete it, post comments in a feed, delete your comments, you can comment other people comments. This will provide for a complete experience of the stack.

We’ve already checked out MongoDB, now it’s time for one of the most popular database out there which is PostgreSQL, which is a free and open source relational database management system.

This post is a bit more personal, in my job we're using TypeOrm and I would like to learn more about it, so I decided to start learning it! We use it with GraphQL but for now I will make this post using REST.

In the previous post we checked how to use TypeORM, Node, GraphQL with PostgreSQL, this time we will add Apollo Server into the mix to produce a robust service for the Frontend to consume.

In the previous post we checked how to use TypeORM, Node, GraphQL with PostgreSQL, this time we will add Apollo Server into the mix to produce a robust service for the Frontend to consume.

This post is for how to create a backend application using Bun, Hono, SQLite and DrizzleORM. A different take on the usual Node/Express projects

Checking out Nest JS as it was required in a project

Adding validations to the CRUD we did in the previous article

Today we will learn about SQL in a beginner friendly way

Today we will check some of the common questions and answers about SQL that are done on interviews