Development

A story about evolving our CI process for a monolithic Python repo with tests, challenges faced, and solutions. Discussing Docker, linters, Allure TestOps, and more.

Today, I would like to share a simple tutorial on how to set up authentication in your Next.js project using Firebase. This guide will walk you through the process step-by-step, ensuring you can quickly implement a secure authentication system.

According to the description,

Tree-sitter is a parser generator tool and an incremental parsing library. It can build a concrete syntax tree for a source file and efficiently update the syntax tree as the source file is edited.

But how does Tree-sitter handle languages that require a preprocessing stage?

I recently stumbled upon a package called dart_mappable, and I feel compelled to share what I liked about it. If you're involved in Dart or Flutter development, this might be of particular interest to you.

In this article, I'd like to share my top 5 tools that have helped me become more efficient and faster as a web developer. You may already use some of these tools, but others could be new. Read the article to the end to make sure you don't miss the most essential tool :).

I’ve been wanting to sort it out about String memory optimization and all these ways to improve the performance and memory usage for Collections and Arrays in C#(as you remember String is an array of chars, loaded a bit differently but anyway) code. I finally managed to find some time to dive deeper into the System.Span.

I have put together this guide to share what I’ve learned. It’s filled with practical tips and examples to help you leverage Spans in your own projects. If you want to optimize your C# code, this guide is a great place to start!

Riverpod is a powerful library that I like to think of as the Swiss Army knife of Flutter development. It offers elegant solutions for both state management and dependency injection, giving you the freedom to "cook" your app architecture just the way you like it.

Prerequisites:
1. Install Docker
2. Install VSCode

STEP BY STEP

1. Open VSCode that you previously installed and click on "Extensions" tab right on the menu bar, then type 'docker' to find proper extension and click "install":

Hi, I’m Nastya, the Product Owner of EXANTE’s desktop and web trading terminals. I began working at the company nearly five years ago as a Junior QA Engineer. Since then, I’ve advanced to QA Lead and ultimately to Product Owner. In this article, I’d like to share my growth journey within the company and the steps that helped me progress. I hope that my story will be helpful to those seeking to advance their careers but are unsure where to start.

Code Push in Flutter

In the fast-paced world of mobile app development, the ability to quickly push updates to users is crucial. Enter Code Push - a game-changing technology that allows developers to update mobile apps instantly without going through the traditional app store review process. This article explores how to implement Code Push in Flutter applications using Shorebird, a powerful tool that brings this capability to the Flutter ecosystem.

On July 19, 2024, Microsoft's Azure cloud services experienced a significant outage, causing widespread disruption. This incident affected multiple Microsoft 365 applications and impacted various industries globally. Here's what developers need to know:

In this tutorial, I’ll show you how to deploy a full-stack JavaScript web app into Firebase. We’ll deploy a Next.js application to Firebase hosting. I’ll show you a quick and efficient process that can be completed in 5 minutes. 

We are requesting 20,000,000 euro to place 900 orders on the exchange. What could go wrong?

Today, I will explain how to avoid losing billions in client money when executing large transactions on the exchange. This discussion focuses on an often overlooked and largely invisible problem that arises when handling large requests, particularly HTTP requests, which may not be fully executed. It's surprising how little attention is given to this issue and how few tools there are to address it.

Our task was to implement large-scale management of exchange orders, not just within a single exchange but globally, and to ensure it operates reliably. In this story, you'll encounter clients, servers, and cats. Stories are always more enjoyable with cats.

Do you want to know how to build an AI image analyzer? Then read this article till the end! I'm going to show you how to build AI analyzer tools really simply, so you almost don't have to have any prior knowledge. I will take you step by step, and we will use Project IDX and the Gemini API. This means you don't have to set up anything; everything we will do is on the cloud. If you're ready, then let's get started!

Recently, there has been a lot of talk about the success of artificial intelligence (AI), although this usually means another achievement in the field of generative neural networks.

And few people, speaking about AI, try to explain what they themselves understand by the term “artificial intelligence.” After all, it’s one thing to write about “AI problems,” and quite another to endow an ordinary computer algorithm with at least the rudiments of intelligence.

After all, the etymology of the established phrase “artificial intelligence” is not unambiguous and can take on different meanings depending on what meaning the author is trying to put into it.

Quantum computers have gradually migrated from “natural” quantum objects like ions and quantum dots to “artificial” objects like transmons, where natural frequencies of LC circuit mimic energy levels. Coaxial cables attached to such circuits excite the system, read their state, and adjust their properties. They are still quantum objects and operate at low temperatures.

I wondered if a similar system can be built with large “classical” mechanical objects. Here I demonstrate 2 -qubit quantum computer built of coupled pendulums.

Gowin has clear advantages over Xilinx in the educational FPGA board market: Gowin boards are several times less expensive, the synthesis speed is several times faster, and the EDA package is two orders of magnitude smaller: we are talking about 1G versus 100G disk space. Of course, Xilinx is still the king of high-end prototyping boards that cost $10K-100K, but for the students such boards are irrelevant; such boards are for ASIC design companies. A beginning EE student needs a board for less than $100, and Gowin not only fits the bill but also covers all the needs, specifically:

In today's fast-paced world of software development, integrating third-party APIs and services is a common practice. These integrations can enhance functionality, improve user experience, and provide additional features that would be time-consuming and costly to develop in-house. However, ensuring these integrations work seamlessly with your software is crucial, and this is where the importance of a test environment, or sandbox, comes into play.

A sandbox environment allows developers to test the integration between their software and third-party services without risking the stability and security of the production environment. This controlled setting enables thorough testing, helping to uncover issues before they affect end-users. By covering as many test cases as possible, developers can ensure robust and reliable integrations.

But what if your third-party provider, such as a bank or government e-system, does not offer a sandbox environment? This scenario can pose significant challenges, but there are several strategies you can employ to mitigate these issues.

In this article, we are going to do something really cool: we will build a chatbot using Python and the Gemini API. This will be a web-based assistant and could be the beginning of your own AI project. It's beginner-friendly, and I will guide you through it step-by-step. By the end, you'll have your own AI assistant!

In this article, we'll explore Project IDX, a new code editor developed by Google. It has the potential to change the way we write and manage code.