Tired of partial webpage screenshots? Discover how to capture entire, full-size web pages from header to footer using Rust and the powerful Chrome DevTools Protocol (CDP). This in-depth guide, leveraging the `thirtyfour` crate, reveals the secret to bypassing standard WebDriver viewport limitations with `Page.captureScreenshot`'s `captureBeyondViewport` parameter, making it perfect for visual regression testing, generating complete website previews, or archiving web content without missing a single pixel.
Discover how AI is revolutionizing search filters! Learn how to transform natural language queries into structured filters using Chrome's Built-in Prompt API and Gemini Nano. Explore techniques like structured output schemas and prompt engineering to create intuitive, voice-enabled filtering experiences that run offline, enhancing user experience on travel and e-commerce sites. Try the live demo!
Discover how Lovable, a low-code tool, empowers designers like Thiago Carneiro to build impressive applications like Texture Wizard and YouTube Preview tool, despite limited coding experience. This review explores the code quality of Lovable-generated projects, revealing a consistent tech stack (Vite, React, Tailwind) and clean, componentized code. See how easily you can extend Lovable projects with tools like VS Code and GitHub, as demonstrated by the Flyby demo, which experiments with natural language filtering using Chrome's Built-in Prompt API. Try the Flyby demo and see for yourself.
Explore the evolving role of AI in software development and the critical question of code ownership. Is AI-generated code truly "owned" by developers, or is the focus shifting to prompt engineering? This article delves into the challenges of reproducibility, the need for rigorous review, and how AI's impact on coding skills is reshaping the developer landscape.
Build a full client-side toxicity detection solution using Transformers.js, ONNX Runtime, and the `all-MiniLM-L6-v2` model. Train a custom model on the Kaggle Toxic Comment Classification Challenge dataset, convert it to ONNX, and run it in the browser for fast, private text analysis. Get 98% accuracy with this approach, see the code, and try the live demo.