In our final scheduled release of 2025, we're bringing many quality of life improvements and bug fixes, especially around value ranges and move selection.

Unfortunately, due to some changes on the Quarkus side, we had to upgrade the minimum supported version of Quarkus. Users of our Quarkus integration will need to migrate to Quarkus 3.30.0 or later.

Thank you for optimizing with us this year, and thanks especially to our community members who answered user questions, implemented code improvements or provided feedback. We'll see you all in 2026, with many exciting things in the pipeline already!

Changelog

🚀 Features

• Supporting parameters for the @ValueRangeProvider-annotated method (#1962)

🐛 Fixes

• Avoid NPEs by fetching outer values before calling inner nodes (#1965)
• Automatically add bean-defining annotation values in Quarkus (#1952)
• Always update successors of single directional graph when referencing non-declarative vars of parent (#1949)
• Only generate member accessors once per member

🔄️ Changes

• Improve memory use of entity value ranges (#1900)
• Improve performance of joins (#1930)

🧰 Tasks

• Migrate MemberAccessor and SolutionCloner to Gizmo2 (#1947)
• Apply OpenRewrite recipe best practices (#1926)

Contributors

We'd like to thank the following people for their contributions:

• Tim te Beek (@timtebeek)
• Jenne De Bleser (@jennedebleser)
• Christopher Chianelli (@Christopher-Chianelli)
• Frederico Gonçalves (@zepfred)
• Lukáš Petrovický (@triceo)

Timefold Solver Community Edition is an open source project, and you are more than welcome to contribute as well! For more, see Contributing.

Should your business need to scale to truly massive data sets or require enterprise-grade support, check out Timefold Solver Enterprise Edition. Timefold Solver Enterprise Edition requires a license.

How to use Timefold Solver

To see Timefold Solver in action, check out the quickstarts.

With Maven or Gradle, add the ai.timefold.solver : timefold-solver-core : 1.29.0 dependency in your pom.xml to get started.

You can also import the Timefold Solver Bom (ai.timefold.solver : timefold-solver-bom : 1.29.0) to avoid duplicating version numbers when adding other Timefold Solver dependencies later on.

Additional notes

The changelog and the list of contributors above are automatically generated. It excludes contributions to certain areas of the repository, such as CI and build automation. This is done for the sake of brevity and to make the user-facing changes stand out more.