You may or may not be reading this on a smartphone, but odds are that even if you aren’t, you own one. Well, possess one, ...
Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked.
Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...
Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your ...
A general-purpose Claude Code action for GitHub PRs and issues that can answer questions and implement code changes. This action intelligently detects when to activate based on your workflow ...
Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...
In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results