All in all, your first RESTful API in Python is about piecing together clear endpoints, matching them with the right HTTP ...

As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify ...

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.

This paper presents the design and development of a comprehensive standalone application for geotechnical engineering, built entirely using Python. Unlike conventional commercial platforms or ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

At a major summit in Russia last year, a banknote was unveiled that carried more symbolism than monetary value. It hinted at the growing ambitions of BRICS+ – a group of emerging economies anchored by ...

The developers of Terminal-Bench, a benchmark suite for evaluating the performance of autonomous AI agents on real-world terminal-based tasks, have released version 2.0 alongside Harbor, a new ...

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 ...