We've introduced a new AI-powered script that automatically generates a comprehensive baseline test suite for the multi-contract interactions in this Arbitrum Stylus example.

This update adds a new script, `pnpm test:generate`, designed to streamline the testing process for multi-contract Stylus applications. This script leverages a Large Language Model (LLM) to analyze the Rust source code of both the `polls-contract` and the `voter-registry-contract`. Based on this analysis, it automatically generates a suite of integration tests written in TypeScript using the ethers.js library, which are then saved into the project's test directory. The primary motivation for this feature is to reduce the manual effort and complexity involved in writing thorough tests for cross-contract interactions. Previously, developers had to meticulously map out all success paths, failure conditions like double voting or unregistered voter access, and various edge cases. This manual process is not only time-consuming but also prone to human error, potentially leaving critical interaction bugs undiscovered until later in the development cycle. The impact on developers is a significant boost in productivity and confidence in their contract logic. By automating the creation of a foundational test suite, this tool saves valuable development time and provides immediate, broad test coverage for key functions like `create_poll`, `vote`, and `register_voter`. Developers can use the generated tests as a solid starting point, allowing them to focus on writing more complex, application-specific tests rather than boilerplate code, ultimately leading to more robust and secure dApps.