Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

It's time to join the Pythonistas.

Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming ...

print("hello world, I'm learning Python"!) ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...

This Guidance demonstrates how to build and deploy multi-agent systems using Amazon Bedrock AgentCore and Strands Agents SDK. Traditional approaches to multi-agent systems require managing complex ...