Abstract: We propose an automatic Java code generation method that integrates UML class diagrams with large language models. First, we employ DOM4J parsing and FreeMarker templates to transform ...
Proof-of-concept exploit code has been published for a critical remote code execution flaw in protobuf.js, a widely used JavaScript implementation of Google's Protocol Buffers. The tool is highly ...
Artificial intelligence (AI) has become an integral part of contemporary software engineering practice. Automated programming techniques, particularly AI-driven code generation, are increasingly used ...
Cursor is a free, open‑source code editor based on Visual Studio Code. It integrates large language models directly into your workflow, giving you AI‑powered autocomplete, inline code generation, a ...
Anthropic announced today that its Claude Code and Claude Cowork tools are being updated to accomplish tasks using your computer. The latest update will see these AI resources become capable of ...
As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...
The increasing reliance on automatic code generation integrated with Generative AI technology has raised new challenges for cybersecurity defense against code injection, insecure code templates, and ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
SAN FRANCISCO--(BUSINESS WIRE)--CodeRabbit, the leading AI-powered code review platform, today released the “State of AI vs Human Code Generation”, a comprehensive new report analyzing the quality of ...
PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...
We propose an RL-based method to refine queries for DeepSeek code generation, learning from the results of generated code. We use a dual-model design: a learnable refiner (Qwen+LoRA) and a fixed ...
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