LLM Agents
Researchers introduce methods and a framework for automated structural testing of LLM-based agents, addressing critical reliability challenges in agentic AI systems through systematic evaluation approaches.
AI Agents
Researchers propose a software engineering framework for building AI agents that combines LLM capabilities with codified human expert domain knowledge for improved reliability.
AI Agents
Despite impressive demos, AI coding agents struggle with brittle context windows, broken refactors, and missing operational awareness. Here's why these technical limitations matter.