Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

Deno Sandbox works in tandem with Deno Deploy—now in GA—to secure workloads where code must be generated, evaluated, or ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

Pull fresh Unsplash wallpapers and rotate them on GNOME automatically with a Python script plus a systemd service and timer.

While you're in meetings or grabbing coffee, it analyzes problems, writes solutions, and delivers working code ready for review.

As a marketing guy with zero technical skills, I "vibe coded" a production app for my company over the weekend—and it worked.

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.

Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

I used ChatGPT to build a Moltbot and get accepted onto Moltbook. Here’s a step-by-step look at what I did, what went wrong, and what finally worked.