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android / platform / external / ksp / refs/heads/simpleperf-release
commit0938f59b459b7e238a69d66d27129f12d55f40d3[log] [tgz]
authorAndroid Build Coastguard Worker <[email protected]>Fri Jan 10 13:57:57 2025 -0800
committerAndroid Build Coastguard Worker <[email protected]>Fri Jan 10 13:57:57 2025 -0800
tree956e56810944d7d2da82d907441ba06be385afb6
parentc2654d6ebed75ac4ed86f9469988c021a48a6e6a [diff]
parent87de5782a2416d2c0e8519735bb4b9d67b9fe1da [diff]
Snap for 12901447 from 87de5782a2416d2c0e8519735bb4b9d67b9fe1da to simpleperf-release

Change-Id: I00cdaa2b59c03b960e87b148b68b97dc0bd4337b
tree: 956e56810944d7d2da82d907441ba06be385afb6
  1. .github/
  2. api/
  3. benchmark/
  4. buildSrc/
  5. common-util/
  6. compiler-plugin/
  7. examples/
  8. gradle/
  9. gradle-plugin/
  10. integration-tests/
  11. kotlin-analysis-api/
  12. symbol-processing/
  13. symbol-processing-cmdline/
  14. test-utils/
  15. .editorconfig
  16. .gitignore
  17. Android.bp
  18. build.gradle.kts
  19. CONTRIBUTING.md
  20. gradle.properties
  21. gradlew
  22. gradlew.bat
  23. LICENSE
  24. METADATA
  25. MODULE_LICENSE_APACHE2
  26. OWNERS
  27. README.md
  28. 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:

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 a bunch of optimizations to be done!
  • Make the IDE aware of the generated code
  • Keep fixing bugs!