JetBrains/compose-multiplatform
Mar 2025 – Mar 2025
1 Month active
Languages Used
GradleKotlin
Technical Skills
BenchmarkingGradle Build SystemGraphics ProgrammingJSON SerializationMultiplatform DevelopmentPerformance Benchmarking
Pavel Punegov
PROFILE
Pavel Punegov
Pavel Punegov enhanced the JetBrains/compose-multiplatform repository by focusing on benchmarking reliability and data capabilities. He addressed stability issues in the Apple graphics context by ensuring a new Surface was created for each benchmark, eliminating crashes caused by surface caching. Pavel also introduced JSON-based serialization for benchmark results, enabling both CSV and JSON outputs to support richer telemetry and streamlined data analysis. His work included modernizing the Gradle build system using version catalogs and updated APIs, improving maintainability and consistency. Leveraging skills in Kotlin, Gradle, and graphics programming, Pavel delivered targeted solutions that improved reliability and data-driven decision making.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
188
Activity Months1
Your Network
816 people
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Focused on reliability and data capabilities for JetBrains/compose-multiplatform. Delivered a stability fix for benchmarks by ensuring per-benchmark surfaces to eliminate crashes, and introduced JSON-based benchmark results serialization with CSV/JSON outputs, alongside Gradle-based build modernization for maintainability. These changes improve benchmarking reliability, enable richer telemetry, and streamline data-driven decision making.
2 Commits • 1 Features
Mar 1, 2025March 2025: Focused on reliability and data capabilities for JetBrains/compose-multiplatform. Delivered a stability fix for benchmarks by ensuring per-benchmark surfaces to eliminate crashes, and introduced JSON-based benchmark results serialization with CSV/JSON outputs, alongside Gradle-based build modernization for maintainability. These changes improve benchmarking reliability, enable richer telemetry, and streamline data-driven decision making.
March 2025
Activity
Loading activity data...
Quality Metrics
Correctness85.0%
Maintainability90.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GradleKotlin
Technical Skills
BenchmarkingGradle Build SystemGraphics ProgrammingJSON SerializationMultiplatform DevelopmentPerformance Benchmarking
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline