google/kotlin
Apr 2025 – Oct 2025
7 Months active
Languages Used
JavaKotlinGradleSwiftC
Technical Skills
Build System ConfigurationBuild SystemsCompiler DevelopmentConfiguration ManagementDebugging ToolsJVM
Mikhail Glukhikh
PROFILE
Mikhail Glukhikh
Mikhail Glukhikh contributed to the google/kotlin and JetBrains/intellij-community repositories by focusing on compiler maintenance, performance optimization, and language feature management. Over three months, he refactored the Kotlin compiler to remove obsolete diagnostics and deprecated build flags, streamlining the codebase for Kotlin 1.8+ and reducing technical debt. He improved compilation performance by replacing mutable maps with unordered hash maps in the K2 compiler’s FIR processing, targeting faster and more scalable builds. Additionally, Mikhail managed feature deprecation by dropping Kotlin 1.9 support in plugin tests, ensuring test stability and aligning with long-term language version strategies. His work demonstrated expertise in Kotlin, Java, and static analysis.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
160Total
Bugs
31
Commits
160
Features
44
Lines of code
49,002
Activity Months7
Your Network
1113 peopleSame Organization
@jetbrains.com654
Work History
October 2025
6 Commits • 2 Features
Oct 1, 2025Month: 2025-10: Focused on developer-facing Kotlin compiler diagnostics and when-expression analysis in google/kotlin. Delivered two feature sets with concrete impact: enhanced compiler diagnostics and error messaging, and detection/reporting of useless 'is' checks in when expressions. These efforts clarify errors, reduce debugging time, and improve code quality for Kotlin users, with targeted tests KT-80652 and related cleanups.
6 Commits • 2 Features
Oct 1, 2025Month: 2025-10: Focused on developer-facing Kotlin compiler diagnostics and when-expression analysis in google/kotlin. Delivered two feature sets with concrete impact: enhanced compiler diagnostics and error messaging, and detection/reporting of useless 'is' checks in when expressions. These efforts clarify errors, reduce debugging time, and improve code quality for Kotlin users, with targeted tests KT-80652 and related cleanups.
October 2025
September 2025
39 Commits • 15 Features
Sep 1, 2025September 2025 monthly summary for google/kotlin focusing on feature delivery, stability improvements, and cross-language interoperability. The team delivered high-impact K2 enhancements, stabilizing fixes across FIR2IR and K2/Java, expanded Swift export capabilities, and bolstered test coverage and maintenance to align with LV 1.9 baselines. Business value includes improved diagnostics, more robust interop with Swift, and increased developer productivity through faster, safer changes and regression detection.
September 2025
39 Commits • 15 Features
Sep 1, 2025September 2025 monthly summary for google/kotlin focusing on feature delivery, stability improvements, and cross-language interoperability. The team delivered high-impact K2 enhancements, stabilizing fixes across FIR2IR and K2/Java, expanded Swift export capabilities, and bolstered test coverage and maintenance to align with LV 1.9 baselines. Business value includes improved diagnostics, more robust interop with Swift, and increased developer productivity through faster, safer changes and regression detection.
August 2025
17 Commits • 2 Features
Aug 1, 2025Month 2025-08: Consolidated Kotlin Swift interop improvements and compiler internals refactor, delivering tangible business value for multi-platform apps. Key work includes Swift interoperability and bridging improvements (Kotlin↔Swift export) with enums and bridging infrastructure, including optional type support and LosslessStringConvertible/RawRepresentable; a major Kotlin compiler internal refactor of local declarations visibility handling (FIR/K2), standardizing on a unified isLocal model; and bug fixes around default argument accessibility and dependency checks in multimodule and array contexts, supported by targeted tests. Overall, these efforts improve iOS interop quality, compiler correctness, and build reliability, enabling faster delivery cycles and fewer integration issues.
17 Commits • 2 Features
Aug 1, 2025Month 2025-08: Consolidated Kotlin Swift interop improvements and compiler internals refactor, delivering tangible business value for multi-platform apps. Key work includes Swift interoperability and bridging improvements (Kotlin↔Swift export) with enums and bridging infrastructure, including optional type support and LosslessStringConvertible/RawRepresentable; a major Kotlin compiler internal refactor of local declarations visibility handling (FIR/K2), standardizing on a unified isLocal model; and bug fixes around default argument accessibility and dependency checks in multimodule and array contexts, supported by targeted tests. Overall, these efforts improve iOS interop quality, compiler correctness, and build reliability, enabling faster delivery cycles and fewer integration issues.
August 2025
July 2025
42 Commits • 14 Features
Jul 1, 2025July 2025 monthly summary for google/kotlin focusing on key business value and technical achievements across the compiler, tooling, and interop domains. Delivered experimental features, migration-oriented changes, and build/tooling modernization; fixed critical defects affecting reliability and cross-language interop; and advanced cross-platform support and test tooling.
July 2025
42 Commits • 14 Features
Jul 1, 2025July 2025 monthly summary for google/kotlin focusing on key business value and technical achievements across the compiler, tooling, and interop domains. Delivered experimental features, migration-oriented changes, and build/tooling modernization; fixed critical defects affecting reliability and cross-language interop; and advanced cross-platform support and test tooling.
June 2025
16 Commits • 3 Features
Jun 1, 2025June 2025: Focused on performance, robustness, and test reliability for Kotlin's K2 compiler. Delivered targeted internal refactors, platform-type coverage improvements, and enhanced test tooling, all driving speed, stability, and developer productivity. Key work spanned compiler internals cleanup with data-structure optimizations, removal of obsolete session provider, and symbol-storage enhancements; language/type-system enhancements for safer type inference and platform-types coverage; fixes to user-facing diagnostics; and improved test tooling and coverage, including modularized tests and KT-75831 scenarios.
16 Commits • 3 Features
Jun 1, 2025June 2025: Focused on performance, robustness, and test reliability for Kotlin's K2 compiler. Delivered targeted internal refactors, platform-type coverage improvements, and enhanced test tooling, all driving speed, stability, and developer productivity. Key work spanned compiler internals cleanup with data-structure optimizations, removal of obsolete session provider, and symbol-storage enhancements; language/type-system enhancements for safer type inference and platform-types coverage; fixes to user-facing diagnostics; and improved test tooling and coverage, including modularized tests and KT-75831 scenarios.
June 2025
May 2025
33 Commits • 7 Features
May 1, 2025May 2025 highlights for google/kotlin: Delivered focused K2 feature removals and diagnostics improvements, strengthened symbol-based analysis, and improved build/IDE integration. These changes reduce maintenance burden, improve diagnostic accuracy, and increase developer velocity by delivering clearer errors, faster feedback, and a more robust compilation model.
May 2025
33 Commits • 7 Features
May 1, 2025May 2025 highlights for google/kotlin: Delivered focused K2 feature removals and diagnostics improvements, strengthened symbol-based analysis, and improved build/IDE integration. These changes reduce maintenance burden, improve diagnostic accuracy, and increase developer velocity by delivering clearer errors, faster feedback, and a more robust compilation model.
April 2025
7 Commits • 1 Features
Apr 1, 2025April 2025: Summary for google/kotlin focused on enhancing the JVM frontend module model dump to improve debugging, testing, and analysis. Delivered a cohesive set of changes around -Xdump-model and enriched the dumped module model with critical build-time metadata, enabling deeper failure analysis and more reliable tests. Key features delivered: - Module model dump enhancements for JVM frontend debugging: introduced -Xdump-model and expanded the model with JDK paths, modular module paths, modular JDK root, Java source packagePrefix handling, and inclusion of compiler arguments to aid debugging and analysis. - Dump compiler arguments along with the module model to provide richer context for failures and tests. - Improved test and environment configuration to support realistic builds: added JDK home to modularized test configuration and ensured classpath roots include the JDK. - Metadata persistence improvements: stored modular JDK root in the module model for reproducible debugging across environments. Major bugs fixed (design and reliability): - Clarified and expanded the build-time metadata available during debugging, reducing time spent diagnosing issues due to missing context. - Stabilized tests by ensuring realistic environment configuration (JDK in module paths and classpath), reducing flaky failures related to tooling variations. Overall impact and accomplishments: - Significantly improved debugging capabilities and test reliability for Kotlin/JVM frontend modules, enabling faster root-cause analysis and reproducibility across CI and local development. - Enhanced developer productivity by providing richer, actionable metadata during builds and tests, resulting in shorter incident resolution times and more robust test suites. Technologies/skills demonstrated: - Kotlin/JVM frontend architecture, module system, and build tooling integration. - Debugging metadata design, -Xdump-model, and integration of compiler arguments into the module dump. - Environment configuration and test environment realism (JDK paths, modulepath, classpath handling). - Artifact provenance and metadata persistence for reproducible debugging across environments.
7 Commits • 1 Features
Apr 1, 2025April 2025: Summary for google/kotlin focused on enhancing the JVM frontend module model dump to improve debugging, testing, and analysis. Delivered a cohesive set of changes around -Xdump-model and enriched the dumped module model with critical build-time metadata, enabling deeper failure analysis and more reliable tests. Key features delivered: - Module model dump enhancements for JVM frontend debugging: introduced -Xdump-model and expanded the model with JDK paths, modular module paths, modular JDK root, Java source packagePrefix handling, and inclusion of compiler arguments to aid debugging and analysis. - Dump compiler arguments along with the module model to provide richer context for failures and tests. - Improved test and environment configuration to support realistic builds: added JDK home to modularized test configuration and ensured classpath roots include the JDK. - Metadata persistence improvements: stored modular JDK root in the module model for reproducible debugging across environments. Major bugs fixed (design and reliability): - Clarified and expanded the build-time metadata available during debugging, reducing time spent diagnosing issues due to missing context. - Stabilized tests by ensuring realistic environment configuration (JDK in module paths and classpath), reducing flaky failures related to tooling variations. Overall impact and accomplishments: - Significantly improved debugging capabilities and test reliability for Kotlin/JVM frontend modules, enabling faster root-cause analysis and reproducibility across CI and local development. - Enhanced developer productivity by providing richer, actionable metadata during builds and tests, resulting in shorter incident resolution times and more robust test suites. Technologies/skills demonstrated: - Kotlin/JVM frontend architecture, module system, and build tooling integration. - Debugging metadata design, -Xdump-model, and integration of compiler arguments into the module dump. - Environment configuration and test environment realism (JDK paths, modulepath, classpath handling). - Artifact provenance and metadata persistence for reproducible debugging across environments.
April 2025
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Quality Metrics
Correctness93.2%
Maintainability92.2%
Architecture90.6%
Performance84.0%
AI Usage20.6%
Skills & Technologies
Programming Languages
CGradleJavaKotlinSwift
Technical Skills
API DesignBackend DevelopmentBridgingBuild System ConfigurationBuild System IntegrationBuild SystemsBuild ToolsBuild Tools APICI/CDCLI ToolsCode CleanupCode DeserializationCode GenerationCode MaintenanceCode Quality
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