OpenAI has expanded the capabilities of its agent-building toolkit, as agentic AI continues to grow in popularity.

Manufacturers today need to ride waves of rapidly shifting tariffs, costs, customer demands and supply chain dynamics. We are nearly three months into 2026, and it’s become clear that market dynamics ...

AI agents hold great promise. They can rapidly explore flows, generate test ideas and produce evidence. Unfortunately, speed is not the same as trust. But when an AI agent claims that all tests have ...

Countercheck has a couple of intended uses: 🏃‍ ️ A hit-the-ground-running drop-in solution for people needing a Java-based test automation framework ⚙️ An example of how a framework can be structured ...

The National Association of Manufacturers recently reported that 50% of manufacturers plan to integrate AI, machine learning, and Industrial IoT sensor networks in production facilities by 2026.

Test automation has come a long way from static scripts and rigid frameworks. Today, the focus is shifting toward intelligent, adaptive systems that can recover from failures and optimize themselves.

As artificial intelligence has advanced over the years, the methods used to measure its capabilities have become outdated. Tests that once challenged advanced AI models are now being solved with ease, ...

As agentic coding spreads, the working life of a software engineer has become dazzlingly complex. A single engineer might oversee dozens of coding agents at once, launching and guiding different ...

The ability to build on short-form videos is a key part of the experience for many, but YouTube Shorts is now testing out a version of that which uses AI, with two ...

This study shows what becomes possible when human creativity and LLM capabilities meet with structure and discipline. By guiding Claude Code, we were able to produce a powerful TUI framework for Ring” ...