I'm not a developer, but I was able to use locally-installed AI to create a writing app suited to my needs. Here's how.

You can rebuild the state file of a resident script so that it automatically recovers even if it is corrupted by a power ...

If you have spent any real time in the ChromeOS ecosystem over the last decade, you probably have a soft spot for Google’s original "Text" app. Tucked away in the ChromeOS app tray, it has always been ...

You spent three hours debugging a broken ETL script, your data is sitting in five different places in five different formats, and the stakeholder meeting is tomorrow morning. If you've ever stared at ...

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 DeepSeek is expanding beyond the model layer and deeper into the software developers use to put AI agents to work. The Chinese AI lab on ...

In the dynamic world of cryptocurrencies, the ability to interact with blockchain networks is of utmost importance. One of the key components facilitating this interaction is the crypto wallet. In ...

A veritable garden of linters and type checkers has blossomed in the Python ecosystem. Pyright and Mypy are two of the most popular, while Astral’s ty and Meta’s Pyrefly are two promising Rust-based ...

In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on Colab. We start with the fundamentals of connection management ...

John Wachira is a tech and business copywriter. He has previously written for Make Use Of, Linux Hint, and DoDropshipping. He likes to hike, cook, experiment, and learn about marketing. Creating a ...

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 ...

DuckDB is a high-performance, easy-to-integrate solution that fills the gap between lightweight embedded databases and full-scale data warehouses. It is easy to install and set up, flexible, and works ...

Most Python developers treat logging as an afterthought. They throw around print() statements during development, maybe switch to basic logging later, and assume that is enough. But when issues arise ...