When does it make more sense to develop a native desktop app, or an Electron-powered web UI app? We break it down for you.

GitHub’s open-source Spec Kit formalizes spec-driven development for AI coding agents by providing a CLI, templates, and prompts that move work through specification, plan, tasks, and implementation, ...

AgentRun: Run AI Generated Code Safely AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the ...

The website, Claude.AI, however, is great for newbies. Every step of the way, he's there to help if you get stuck. I found it much better than learning from a book. Claude answers the dumbest ...

The CodeChef IDE lets you code right in your browser, making it easy to start practicing with their problem sets. Understanding time and memory limits is key; your code needs to be both fast and ...

VScode + Docker + Python= ️ ️ ️ Docker's high reproducibility, coupled with the seamless integration of Visual Studio Code with Docker, makes it a great development tool, particularly for Python ...

Learn how to use GitHub Spark to create web apps. GitHub Spark is an AI-powered app builder that lets you develop full-stack ...

If you currently rely on the tool for web development, chances are you've downloaded some web development related VS Code ...

To do this, they built an entangling logic gate on a single atom using an error-correcting code nicknamed the "Rosetta stone" of quantum computing.

Python is a top choice for developing AI tools and applications, but its real superpower is ease of use. This week’s report highlights the ways Python just keeps getting better, with or without AI.