Figma powered the design process for YT Speed Controller. Its intuitive interface allowed us to rapidly prototype different control layouts, test color schemes, and refine the user experience before writing a single line of code. This design-first approach resulted in a more polished final product.
Visual Studio Code was the backbone of YT Speed Controller's development. Its powerful JavaScript editing capabilities, extension ecosystem, and integrated terminal made coding efficient and enjoyable. Features like IntelliSense and live debugging were crucial for creating a reliable, bug-free extension.
Use Raycast AI (Claude 3.7 Sonnet) was a game-changer for this project. It helped craft clear documentation, optimize code, and solve complex integration challenges. The AI assistant's ability to understand context and provide precise solutions significantly accelerated development and improved the final product.
What's great
AI integration (14)context aware (3)productivity boost (37)
Chrome Developer Tools was invaluable during development for debugging, testing, and optimizing the extension. The ability to inspect elements, monitor performance, and test in real-time made building a seamless YouTube integration possible.
YT Speed Controller
