gradle-build-performance

To diagnose slow Gradle build times, you analyze a Gradle build scan to identify bottlenecks across configuration, task execution, dependency resolution, and annotation processing phases. This pinpoints exact performance issues for targeted optimization.

The best way to optimize Android Gradle build performance is by applying targeted improvements like enabling configuration caching, build caching, and migrating to KSP. These strategies reduce redundant task execution and accelerate development cycles.

Gradle configuration caching improves build speed by reusing the configuration phase outputs across subsequent builds. It bypasses the expensive project setup process, significantly reducing overall execution time when no configuration changes are detected.

Yes, you can use this to fix slow CI/CD pipelines caused by Android builds. It optimizes dependency resolution and task execution to ensure faster, more efficient continuous integration workflows for your projects.

Migrating to KSP helps with build performance because it processes annotations significantly faster than traditional tools. It reduces the overhead during the annotation processing phase, directly shortening overall Gradle execution times.

If Gradle dependency resolution is a bottleneck, you should analyze your build scan to identify network or repository configuration inefficiencies. Applying targeted optimization strategies streamlines dependency fetching and resolves the slowdown.