AI can rewrite open source code—but can it rewrite the license, too?

Computer engineers and programmers have long relied on reverse engineering as a way to copy the functionality of a computer ...
IEEE

Development and Evaluation of an AI-Enhanced Python Programming Education System

Abstract: The integration of Artificial Intelligence (AI) in education has shown promising potential to enhance learning experiences and provide personalized assistance to students. However, existing ...
eWeek

GPT-5.4 Is Here: OpenAI’s ‘Most Capable and Efficient’ Model for Professional Work

OpenAI launches GPT-5.4, calling it its most capable and efficient AI model yet, with AI agents, computer control, improved reasoning, and a 1M-token context.
GitHub

RefineBench: Evaluating Refinement Capability of Language Models via Checklists

👋 Welcome to RefineBench — a comprehensive evaluation library for testing refinement capabilities of language models across multiple settings and domains. To reproduce the full results reported in ...

What is COBOL, the high-level programming language that is behind biggest-ever fall in IBM stock value

COBOL is in the headlines again, and this time it is because of artificial intelligence (AI) – sparking conversations with tools emerging that claim t.
GitHub

CATArena: Engineering-Level Tournament Evaluation Platform for LLM-Driven Code Agents

CATArena (Code Agent Tournament Arena) is an open-ended environment where LLMs write executable code agents to battle each other and then learn from each other. CATArena is an engineering-level ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test-driven ...