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android / platform / external / ksp / refs/heads/upstream-revert-1765-1.0.19-release
commit870e983b0799ed605e8decac4a53f74f46ec18bb[log] [tgz]
authorlaszio <[email protected]>Wed Feb 28 17:02:31 2024 -0800
committerGitHub <[email protected]>Wed Feb 28 17:02:31 2024 -0800
tree4cd22df2409b507ee7f84577606a8a5b1bd7986d
parentd605ed642088c0d0a2f82bc53249223404565824 [diff]
Revert "disable KSPAATest on release branch"

This reverts commit c65ac57cad85f38b314414489a53a7fcff414c8c.
1 file changed
tree: 4cd22df2409b507ee7f84577606a8a5b1bd7986d
  1. .github/
  2. api/
  3. benchmark/
  4. buildSrc/
  5. common-deps/
  6. common-util/
  7. compiler-plugin/
  8. examples/
  9. gradle/
  10. gradle-plugin/
  11. integration-tests/
  12. kotlin-analysis-api/
  13. symbol-processing/
  14. symbol-processing-aa-embeddable/
  15. symbol-processing-cmdline/
  16. test-utils/
  17. .editorconfig
  18. .gitignore
  19. build.gradle.kts
  20. CONTRIBUTING.md
  21. DEVELOPMENT.md
  22. gradle.properties
  23. gradlew
  24. gradlew.bat
  25. LICENSE
  26. README.md
  27. settings.gradle.kts
README.md

Kotlin Symbol Processing API

Welcome to KSP!

Kotlin Symbol Processing (KSP) is an API that you can use to develop lightweight compiler plugins. KSP provides a simplified compiler plugin API that leverages the power of Kotlin while keeping the learning curve at a minimum. Compared to KAPT, annotation processors that use KSP can run up to 2x faster.

Most of the documentation of KSP can be found on kotlinlang.org. Here are some handy links:

For debugging and testing processors, as well as KSP itself, please check DEVELOPMENT.md

Feedback and Bug Reporting

Please let us know what you think about KSP by filing a Github issue or connecting with our team in the #ksp channel in the Kotlin Slack workspace!

If you are interested in sending PRs, please also check out the Contributor guide.

Ongoing and Future Works

Here are some planned features that have not yet been completely implemented:

  • Support new Kotlin compiler
  • Improve support to multiplatform. E.g., running KSP on a subset of targets / sharing computations between targets
  • Improve performance. There are a bunch of optimizations to be done!
  • Make the IDE aware of the generated code
  • Keep fixing bugs!