Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow ...

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

ENVIRONMENT: DESIGN cutting-edge software solutions while working on global projects for a provider of sustainable and cost-effective Solar Energy seeking to fill the role of an Intermediate Front End ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Much of modern application development depends on APIs. In the past we may have built massive monolithic applications, but modern cloud-native development depends on collections of microservices, ...

The Italian startup will use the investment to build proprietary AI models, accelerate global expansion, and hire new talent. Italian cybersecurity startup Equixly on Tuesday announced raising €10 ...

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, ...

This is a sample API Test Automation framework designed using SuperTest, Mocha, Chai, and FakerJS. And in this framework we will see some basic working examples for learning.

Agentic systems are stochastic, context-dependent, and policy-bounded. Conventional QA—unit tests, static prompts, or scalar “LLM-as-a-judge” scores—fails to expose multi-turn vulnerabilities and ...