AI is transforming software development at an unprecedented pace. Some claim that AI is making developers faster, automating coding, and even replacing unit testing. In reality, these claims ...

Ever thought what turns a good idea into a working application? The short and simple answer to this question is selecting the right framework. As Python has gained popularity among web development ...

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 ...

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 ...

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, ...

What’s the best way to bring your AI agent ideas to life: a sleek, no-code platform or the raw power of a programming language? It’s a question that sparks debate among developers, entrepreneurs, and ...

Cyber threats and attacks like ransomware continue to increase in volume and complexity with the endpoint typically being the most sought after and valued target. With the rapid expansion and adoption ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...