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The latest News and Information on Software Testing and related technologies.

Beyond AI Vibes: Deterministic Foundations for Agentic Coding

Every week there is another model drop, another agent framework, and another workflow tweak you are supposed to evaluate. Meanwhile, the largest companies, the ones operating at the highest scale and leaning hardest on AI, are also the ones making headlines for reliability strain: capacity limits, outages, and services that buckle under load.

The Role of APIs in Next Generation Core Banking Transformation

For decades, banks relied on monolithic core systems that were stable but rigid. These platforms were designed for reliability rather than flexibility. Adding new products often meant months of integration work. Launching a digital service requires even longer. That model is now breaking. Customers expect instant payments. Fintech startups release new financial products every few weeks. Regulators are encouraging open banking ecosystems where financial data flows securely across platforms.

Complete beginner's guide to test automation | TestComplete

Learn how to get started with TestComplete in this comprehensive beginner's tutorial. TestComplete is an automated testing platform for desktop, web, and mobile applications – and this guide will help you create your first test in just minutes. What You'll Learn: This video is perfect for test automation engineers and developers new to automated testing. Whether you're testing desktop applications, web apps, or mobile interfaces, this tutorial covers the essential features every TestComplete user needs to know.

LoadFocus vs JMeter Comparison: Which Load Testing Tool Fits Enterprise Needs in 2026?

Ask any enterprise architect about load testing platforms, and you’ll hear plenty about horsepower, integrations, and feature lists. Yet, the reality is often counterintuitive: the most powerful tool isn’t always the right one. Over the years, I’ve seen teams exhaust budgets or miss critical performance issues by reaching for the so-called “Swiss Army knife” of testing, only to discover too late that they needed a precision instrument – or the reverse.

How AI-Generated Code is Changing Software Testing

AI coding tools have quickly become part of everyday software development. What started as an experiment is now a normal part of how many teams write, ship, and update code, with tools like GitHub Copilot, Cursor AI code editor, Anthropic’s Claude, and ChatGPT being used across a wide range of workflows. The productivity gains are real. Developers are moving faster, shipping more changes, and spending less time on repetitive work. But as output increases, so does the risk.

How AI Improves Decision-Making Across the Software Delivery Lifecycle

In modern software development, speed is no longer the biggest challenge. Most organizations have adopted agile practices, CI/CD pipelines, and automation frameworks that enable rapid delivery. What slows teams down today is uncertainty. Stakeholders constantly face critical questions: When answers rely on scattered reports, manual interpretation, or partial visibility, decision-making becomes reactive, leaders will hesitate.