The ‘Getting Started’ section is like the quick-start guide for a new gadget. It gives you the most important first steps, ...

With zero coding skills, and in a disturbingly short time, I was able to assemble camera feeds from around the world into a ...

Pencil.dev turns Claude Code prompts into editable, Figma-like designs; it supports UI kits, CSS variables, and JSON files ...

Gigasoft releases ProEssentials v10 with GPU compute shaders and publishes six-part WPF chart library comparison for ...

Abstract: Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex grammar and semantics constraints, ...

JQ-By-Example solves a common developer problem: you know what JSON transformation you want, but writing the correct jq filter is tricky. Simply provide example input/output pairs, and JQ-By-Example ...

Abstract: Agile Product-Based Learning (Agile PdBL) promotes rapid product development in educational settings but often results in challenges related to code structure and maintainability. While ...

Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...

Everyone’s talking about JSON prompting like it’s the next big thing in AI. Look, here’s the deal. Just like every other “revolutionary” AI technique that gets hyped up, JSON prompting isn’t the only ...