Overview: Automation testing helps find bugs early and supports faster software releases.Repetitive and critical test cases ...

Citing issues with logic, correctness, and security, a new report recommends specific guardrails for AI-generated code.

Because the threshold for resilience testing is so high, it isn’t integrated into most companies’ software development ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

China’s new coding AI beats GPT-5.1 and Claude 4.5, with 128,000-token context helping you solve tougher repos faster and cut ...

Habits like testing code, reviewing each other’s work and checking changes before release can both save time and prevent ...

Former Tesla AI chief Andrej Karpathy has cautioned software engineers about the rapid pace of AI advancement, admitting that ...

The spread of generative AI has become background radiation, pitting players against studios and leaving its role uncertain.

AI can inadvertently introduce vulnerabilities by hallucinating libraries or repeating insecure patterns found in its ...

With modern methods for organizing development teams like Team Topologies, the influence of software architects comes to the ...

The right balance lies in using AI where it accelerates safely and relies on skilled engineers to govern where it cannot.

The hype around automation and AI-driven workflows can obscure a fundamental truth: developers still need human interaction.