AI Changelog

New Features

Observable: Introduce a new package @rxjs/observable, which contains all low-level values and types related to Observable. This update enhances modularity and organization within the library.
Operators: The every operator no longer supports providing a thisArg and no longer provides the source observable to the predicate. This change simplifies usage and encourages better practices.
Operators: The expand operator no longer supports a scheduler parameter. Users should now utilize scheduled, subscribeOn, or observeOn instead.

Documentation: Clean up the documentation by removing duplicate deprecation notes for the retryWhen operator, making it clearer for users.
Documentation: Update the README to fix the URL for the decision tree file, ensuring users have access to the correct resources.

Fix issues with the every operator's re-entrancy and signature, enhancing its reliability and consistency in behavior.

Replace the polyfill.io service with a Cloudflare equivalent, improving performance and reliability for users.

Observable: Introduce a new package @rxjs/observable, which contains all low-level values and types related to Observable. This update enhances modularity and organization within the library.
Operators: The every operator no longer supports providing a thisArg and no longer provides the source observable to the predicate. This change simplifies usage and encourages better practices.
Operators: The expand operator no longer supports a scheduler parameter. Users should now utilize scheduled, subscribeOn, or observeOn instead.

Documentation: Clean up the documentation by removing duplicate deprecation notes for the retryWhen operator, making it clearer for users.
Documentation: Update the README to fix the URL for the decision tree file, ensuring users have access to the correct resources.

Fix issues with the every operator's re-entrancy and signature, enhancing its reliability and consistency in behavior.

Replace the polyfill.io service with a Cloudflare equivalent, improving performance and reliability for users.