Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS Algorithms

This document is an arXiv software-engineering research feed covering AI coding agents, LLM-assisted modelling and requirements engineering, formal validation for safety-critical railway data, code-generation behavior, multi-agent debate, and runtime data-quality controls for agentic systems. It highlights reliability, semantic correctness, performance, provenance, and the need for deterministic validation around LLM outputs. No specific exploitation, vulnerability disclosure, or affected product is reported.