Monthly Archives

As the landscape of software development evolves, the demand for swift, reliable, and efficient backend solutions grows. Traditionally, this was a domain preserved for the most skilled developers. However, with the introduction of the Back4app ChatGPT plugin, this narrative is changing.

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In the era of AI and serverless backend development, extracting and manipulating data has reached a zenith.

The union of ChatGPT, a widely recognized conversational AI, and Back4App, a notable backend-as-a-service platform, epitomizes this progress.

In this article, we delve into how ChatGPT’s plugin for Back4App empowers developers to effortlessly fetch and interpret data.

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This tutorial covers the deployment process of a Python-based application to Heroku. Reading this article, you can understand Heroku’s core functionalities, Heroku’s app deployment process, and how to deploy an app to Heroku. 

On top of that, it provides instructions on deploying the same application to Back4app Containers — a great free alternative to Heroku.

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In today’s digital age, creating front-end websites has never been easier, especially with the amalgamation of powerful technologies like ChatGPT and Back4app.

With developers constantly searching for smoother and faster ways to bootstrap web projects, integrating ChatGPT with the Back4app plugin is gaining traction.

In this blog post, we’ll dive into how you can use this unique combination to build beautiful front-end websites swiftly and efficiently.

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In today’s digital age, chatbots and AI-driven applications are becoming increasingly popular. They offer a unique way to interact with users, gather data, and provide instant responses.

One of the challenges developers face is integrating these chatbots with backend servers to fetch or store data.

In this article, we’ll explore how to build a ChatGPT agent that queries the Back4App Parse Server. By the end of this guide, you’ll have a clear understanding of one of the simple ways in which you can seamlessly integrate these two powerful tools.

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For software developers, the task of creating an application can sometimes be daunting, especially when it comes to building from scratch.

However, technology has evolved to a point where creating an app without writing a single line of code is now a reality.

In this blog post, we will explore the seamless integration of ChatGPT and Back4App to develop a restaurant menu application effortlessly.

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The world of software development is filled with passionate developers spending hours behind screens writing lines of code. But what if there was a way to develop an app without actually writing any code?

In this blog, we’ll delve into how you can use ChatGPT, powered by GPT-4, in conjunction with Back4app to bring an Uber-like app to life without traditional coding

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What Is Amazon FSx? 

Amazon FSx is a fully managed file storage service offered by Amazon Web Services (AWS). It provides robust, scalable, and high-performance file system solutions for various workloads including Windows file servers, machine learning, and high-performance computing (HPC).

Amazon FSx offers two file systems: FSx for Windows File Server and FSx for Lustre. The former is built on Windows Server, making it compatible with Microsoft Windows applications and tools, while the latter is designed for high-performance workloads that require fast processing of large data volumes.

With Amazon FSx, you can store, retrieve, and process your data without worrying about the administration and maintenance of the underlying infrastructure. The service includes features like automatic backups, data encryption, and multi-AZ replication, which help ensure data durability and security. Read this detailed blog post for more background on Amazon FSx.

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SvelteKit is a powerful framework for building web applications that combines the simplicity and performance of the Svelte framework with additional features. It is the official framework for building applications with Svelte.

SvelteKit builds on the principles of Svelte, a component-based framework that compiles your application code into highly efficient JavaScript code during the build process.

SvelteKit takes this a step further by providing a full-fledged application framework that offers features such as routing, server-side rendering (SSR), and code splitting out of the box.

In this article, you will explore SvelteKit and build a basic application using SvelteKit and Back4app.

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