Systems | Development | Analytics | API | Testing

Manual testing gets old fast. You end up clicking through the same workflows over and over, and it’s easy to miss bugs when you’re going through dozens of test cases. Automated testing tools handle the repetitive stuff for you, running tests in the background while you work on actual development. This guide looks at some solid automated testing tools for 2025 that can help streamline your testing process.

In many enterprise organizations, particularly across public sector and regulated industries, identity and access management (IAM) are not just a best practice; it’s a mandate. From federal agencies and financial institutions to healthcare and utilities, internal IT policies often require every application to integrate with a centralized identity provider (IdP) such as Microsoft Entra ID or Okta.

In the world of modern web applications and APIs, authentication and authorization mechanisms are critical. Whether you’re building a RESTful API, working with OAuth2, or integrating third-party services, you’ve likely encountered the term "Bearer Token." But what exactly is a bearer token? How does it work? And one of the most common questions: Can you reuse a bearer token?

Go, with its simplicity and strong concurrency model, is a popular choice for building CLI tools. Cobra and Viper are two powerful libraries in Go for building command-line interfaces and managing configuration, respectively. They are designed to work seamlessly together, offering a robust solution for developing feature-rich CLI applications. To understand how they work internally and complement each other, let’s dive deeper into their architecture and how they interact.

Bugs that slip through testing and reach production can derail even the most well-planned software release. The key to avoiding costly fixes and downtime? Catching issues early – before they impact users. Pre-production testing is vital, but without the right level of error visibility, identifying the root cause of failures can feel like searching for a needle in a haystack.

AI has been booming and has become a transformative force in several industries, software testing and QA are no different. With the evolution of technology and complexity of applications, automation and big-volume data analysis require extra assistance, and that’s where AI might come in handy. In QA, AI could help improve the efficiency of test management tasks, reducing manual effort.

April wasn’t just another release month. It marked the official GA launch of TrueTest, our AI testing solution that replaces guesswork with tests powered by real user behavior Unlike traditional tools that rely on scripts and assumptions, TrueTest learns from how users actually interact with your app, then automatically generates and maintains the tests that matter most. See how it works. This launch marks a bold step toward a smarter future of software quality, and it's only the beginning.