Goldziher/interface-forge

AI Summary: Migrate the Interface-Forge documentation from TypeDoc to a more modern framework like Docusaurus, improving its structure, interactivity (adding live code examples and an API explorer), search functionality, version management, and overall navigation. This involves setting up the new documentation site, migrating existing content, creating new guides and examples, and implementing interactive features.

AI Summary: Implement a comprehensive constraint and validation system for the Interface-Forge TypeScript library, enhancing its data generation capabilities with features like uniqueness constraints, custom validators, integration with popular validation libraries (Joi, Yup, Zod), retry logic, and detailed error reporting. This involves creating a new constraints API, implementing various constraint types, integrating with existing validation libraries, and adding robust error handling and retry mechanisms.

AI Summary: Implement a new feature in a TypeScript library for generating mock data. This feature will add time-travel capabilities, allowing users to generate data with realistic timestamps and temporal relationships, including support for time zones, business hours, and various time-series patterns. The implementation should include thorough testing to ensure accuracy and performance.

AI Summary: Improve TypeScript type inference within the Interface-Forge library to enhance developer experience, improve type accuracy, and provide more informative error messages. This involves enhancing type handling for nested factories, conditional types, factory composition, and runtime type validation, as well as improving error messages and IntelliSense support. The task also includes adding type-safe factory references, improving generic factory support, and adding support for template literal types.

AI Summary: Implement a new feature for the Interface-Forge TypeScript library to generate mock data from GraphQL schemas. This involves parsing GraphQL SDL, handling various GraphQL types and directives, integrating with GraphQL tools, and ensuring full TypeScript type safety. The implementation should follow the existing Zod integration pattern, offering options for custom scalar resolvers, default values, and depth limiting.

AI Summary: Implement performance optimizations for Interface-Forge, a TypeScript mock data generation library, to handle large-scale data generation (10k+ records). This involves creating a streaming/chunking API, memory-efficient generation techniques, parallel generation with worker threads, progress callbacks, and a benchmarking suite. The goal is to significantly improve generation speed and memory usage while maintaining type safety and supporting concurrent generation.