Traditional software testing can't catch AI's unpredictable failures. Here's why humans are non-negotiable.

Penetration testing is undergoing a structural shift. For years, automation meant running scanners faster or scripting repetitive tasks. Today, a new class of tools is emerging, agentic AI systems ...

Part of the company’s qTest product, Agentic Test Creation works with test engineers to help them author in-context tests. It allows them to write natural-language tests, providing them with reusable ...

Founded in 2024, Promptfoo began as an open-source framework for evaluating AI prompts and model behavior. It later expanded into a commercial platform used by developers and enterprise security teams ...

TestSprite 2.1 embeds agentic testing into every pull request, catching what AI coding tools miss before bad code ships to ...

How real is the AI threat to software companies? CNBC put it to the test by vibe-coding a Monday.com replacement.

The first is the convergence of software and data engineering disciplines. The second is the rise of generative AI, which is accelerating both technical and organizational change. The Convergence Of ...

At its Synopsys Converge event currently underway in Santa Clara, the company announced an array of tools and initiatives to ...

Although many applications have transitioned to web and cloud platforms, desktop software remains essential across industries such as finance, engineering, healthcare, and enterprise operations. With ...

Coding in 2026 shifts toward software design and AI agent management; a six-month path covers Git, testing, and security ...