Build a voice assistant on Raspberry Pi using ElevenLabs and Open Meteo, so you get live forecasts hands free.

The average AI-generated pull request has 10.83 issues compared with 6.45 for human code, report claims Quality can be better in terms of typos, leaving room for human reviewers Microsoft code patches ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

CodeI/O is a novel approach that transforms code-based reasoning patterns into natural language formats to enhance Large Language Models' reasoning capabilities. Unlike traditional methods focusing on ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Global podcast studio Wondery is diving into the controversial world of artificial intelligence romance with its latest series “Flesh and Code.” The six-episode series, hosted by “RedHanded” ...

On Thursday, Anthropic released Claude Opus 4 and Claude Sonnet 4, marking the company’s return to larger model releases after primarily focusing on mid-range Sonnet variants since June of last year.

Community driven content discussing all aspects of software development from DevOps to design patterns. The best way to teach the concept of Java user input to new software developers is to show them ...

I’m not a programmer. But I’ve been creating my own software tools with help from artificial intelligence. Credit...Photo Illustration by Ben Denzer; Source Photographs by Sue Bernstein and Paul ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...