Let's look at the pros and cons of going full AI to help you understand how the value and purpose of software development ...

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

Beware the hidden costs of AI-generated code; human oversight is essential to prevent bugs and maintain software quality.

Learn what generative AI testing is, why traditional testing falls short, and how businesses can ensure safe, accurate, and ...

Generative AI is moving from support tool to decision shaper in APAC enterprises. What that shift means for judgment, ...

LLMs can help improve the efficiency of cybersecurity workers, increasing the number of vulnerabilities they find in less ...

Deterministic AI delivers merge-ready, policy-aligned fixes that remove risk before it ever hits main. This is security automation that just works.

Some of Julie York’s high school computer science students are worried about what generative artificial intelligence will mean for future careers in the tech industry. If generative AI can code, then ...

Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

However, as we enter 2026, the next big AI supercycle may be emerging. The first phase was largely about generative AI. This includes chatbots like OpenAI's ChatGPT, Anthropic's Claude, and Alphabet ...

On November 30, 2022, OpenAI released a generative artificial intelligence (AI) system known as ChatGPT. Users can enter prompts, and ChatGPT ...