Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be operated using Telegram or WebUI. It is great at automating tactics through ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

With OpenAI's latest updates to its Responses API — the application programming interface that allows developers on OpenAI's platform to access multiple agentic tools like web search and file search ...

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Excel has been the go-to tool for data manipulation and analysis for years. However, Python, with its powerful libraries and ...

Discover 5 AI tools that turn AI overload into autonomous workflows, with built-in automation and quality control for real-world teams.

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing costly scraping with structured function calls.

After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.