IEEE

Code Vulnerability Repair with Large Language Model Using Context-Aware Prompt Tuning

Abstract: Large Language Models (LLMs) have shown significant challenges in detecting and repairing vulnerable code, particularly when dealing with vulnerabilities involving multiple aspects, such as ...
Geeky Gadgets

Turn Claude Code Into a Design Tool with Pencil.dev

Better Stack demonstrates how Pencil.dev can work with Claude, an AI language model, to streamline the creation of design assets. By using text-based prompts, Pencil.dev generates editable layouts ...
Wired

You Can Now Install—and Update—Microsoft Store Apps Using the Command Line

I can't stand opening the Microsoft Store. It's slow to load, confusing to browse, and full of ads for things I don't care about. Luckily, thanks to a new feature, I don't have to open the Microsoft ...
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 Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...