Systems | Development | Analytics | API | Testing

Today’s software developers depend on suitable tools to perform better in their work. People working as developers during 2025 seek text editors which offer comprehensive functionalities and improve their work efficiency by incorporating intelligent functions. The dev community embraces two innovative editors – VSCode and Cursor.

Selecting the best Mac browser in 2025 isn’t as easy anymore. As Apple’s hardware technology is improving at lightning speeds with its M-series chips and macOs updates, the browser that you opt for can literally influence your Mac’s performance, battery life, and overall experience.

AI coding tools are no longer a novelty. From startups to enterprises, developers are using them to accelerate development, auto-generate tests, and build products faster than ever. Some engineering teams claim they’ve become up to 10x more productive with the right AI coding tool in their workflow. To get a real-world understanding of how these tools are being used, we hosted a community discussion with over 70 tech leaders—CEOs, CTOs, and engineering managers.

Man-in-the-middle attacks are elegantly mitigated in TLS, with TLS1.3 introducing more robust encryption protocols and a streamlined handshake process that significantly reduces the vulnerability to these types of attacks. By employing stricter encryption standards and eliminating outdated cipher suites, TLS 1.3 enhances security measures to effectively counter potential interception and unauthorised data decryption.

In this blog, I’ll walk you through the essential steps and guidance for parsing network protocols. We’ll assume that you’re already running a Layer 4 (L4) proxy to capture packets into a buffer, and you have both the client and destination connection objects readily available. This guide will focus on helping you convert raw network data into meaningful, structured information.

Artificial Intelligence (AI) has revolutionized various industries, including software development. One particular area where AI has shown significant promise is generating unit tests effortlessly. With the help of AI-based tools, developers can automate the process of creating unit tests, saving time and effort. In this blog, we will delve into the pros and cons of AI-generated unit tests, highlighting their potential benefits and addressing any concerns.

The API landscape is constantly evolving, and developers like us crave tools that streamline data fetching and boost performance. For years, REST reigned supreme, but a challenger has emerged – GraphQL. So, is GraphQL truly a "better version" of REST? Let’s explore this question through code and performance comparisons.

In the world of web applications, linking a hosted user interface (UI) with a secure backend on an AWS EC2 instance is essential for creating a seamless, scalable, and secure user experience. This guide covers each step in the process, from launching and configuring an EC2 instance to implementing HTTPS for secure communication.

AI-based code writing assistants have modernized developer practices for coding development and code analysis and enhancement. The market features two well-known AI code development tools which include Codium and GitHub Copilot. These tools provide developers with important functionalities that include automatic coding recommendations along with programming enhancements and error detection features.

Generally, in today’s fast-moving development cycle, software reliability and system performance rely on successful code testing. Programmers depend on code tester tools to accomplish pre-deployment code debugging, validation, and optimization. The correct selection of code testing tools brings substantial workflow improvements to developers working with web development, software engineering, or mobile applications.