Use Chess.js and Chessboard libraries to build a simple chess web page, allowing students to connect programming logic with a visual interface. For example, tools such as Antigravity can be used to support the development process with AI assistance, helping generate boilerplate code, explore variations, and accelerate prototyping while still ensuring students understand the underlying implementation.

Building the Visual Interface

By integrating these libraries, students transition from abstract data structures to a functional web application:

• Chess.js: This library handles the game logic. It validates moves, tracks the turn, detects checkmate/draws, and can generate or read FEN and PGN strings.
• Chessboard.js: This provides the graphical user interface (GUI). It handles the "drag and drop" functionality and the visual rendering of the pieces on the 8x8 grid.

AI-Assisted Prototyping

The use of AI tools like Antigravity during this phase serves several educational purposes:

• Boilerplate Generation: It can quickly set up the HTML/CSS structure, allowing students to focus on the JavaScript integration of the chess libraries.
• Exploring Variations: Students can ask the AI to implement specific features, such as "highlighting legal moves" or "adding a move history list," and then study the resulting code to see how it interacts with the library's API.
• Accelerated Prototyping: It reduces the time spent on syntax errors, enabling students to reach a working "Minimum Viable Product" (MVP) faster.

This practical application reinforces the entire curriculum: the FEN string becomes the bridge between the logic engine (Chess.js) and the visual board, showing exactly how a single line of text defines an entire interactive experience.