Systems | Development | Analytics | API | Testing

Software teams are continually being pushed to release faster without breaking things—but speed is irrelevant if you sacrifice quality. The real challenge? Getting your QA process to detect defects early without bursting budgets and testing cycles. That's where test efficiency comes in. While test effectiveness is primarily focused on bug finding, test efficacy is more focused on doing more with less—time, money, or even resources from the team.

Low-code testing tools simplify the testing process. All of the complexity of coding is taken care of by the features designed by the development team of the tool. Thanks to these low-code tools, a little bit of technical know-how is more than enough to start testing. It opens up QA to a broader audience. In this article, we review the top low-code testing tools in 2025.

From automating routine tasks to providing real-time insights to inform complex decisions, AI agents and copilots are poised to become an integral part of enterprise operations. At least that’s true for the organizations that can figure out how to supply large language models (LLMs) with real-time, contextualized, and trustworthy data in a secure and scalable way.

When you’ve worked with data at scale, you come to appreciate the beauty and the complexity of systems like Kafka. With nearly 30 years of experience navigating the evolution of technology and data platforms, I’ve seen firsthand how Kafka has revolutionized real-time data processing - and where it can challenge even the best teams. The real question is: How do you move past those challenges to unleash everything Kafka has to offer?

API traffic now accounts for 57% of all Internet activity, fueled by AI adoption and the growing demand for real-time data. But this surge comes with challenges: complex development, lack of standardization, and security risks. Automated API generation is the solution.

Boosting testing efficiency, using AI wisely, and aligning testing with business goals can help you build a business that’s ready for anything.

Note: A version of this article was originally published on CIO Influence. Burnout is widespread in the world of software engineering. According to a 2023 report, 73% of developers have experienced burnout at least once in their careers, and work-life balance has been cited as a key driver of developer satisfaction. Luckily, there are tools and strategies that teams can implement to reduce mental load, prevent burnout, and improve overall developer wellbeing.

Ever written an automated test, only to have it fail the following day because the 'Submit' button changed its class name? Frustrating, I'm sure. Why are UI tests so flaky and why are selectors so flaky? Testers use CSS classes or IDs. Every time they see them, the class or ID changes every time the developers build the code. It makes automation brittle and long to update, especially due to the deep nesting and dynamic DOM elements. However, what if there was a more efficient way?

Building responsive and efficient applications in our rapidly-evolving digital world is more crucial now than ever. As software developers, we constantly look for ways to boost performance and improve the user experience. One such method is employing multithreading, a widely used yet often misunderstood feature. This comprehensive guide will dive deep into C# threading and multithreading. We’ll unpack what they are, their differences, and when and how to use each.

You can now run any open-source LLM from Vertex AI Model Garden or Hugging Face with BigQuery Machine Learning.