JetBrains/JetBrainsRuntime
Jan 2026 – Mar 2026
3 Months active
Languages Used
JavaCC++MakefilePython
Technical Skills
API DevelopmentCode RefactoringCross-Platform DevelopmentCross-platform DevelopmentDesktop DevelopmentInterface Design
Marat Khabibullin
PROFILE
Marat Khabibullin
Marat Khabibullin modernized cross-platform windowing and rendering in the JetBrainsRuntime repository, focusing on Wayland integration, macOS input handling, and architectural decoupling. He refactored core Java AWT components to improve modularity and maintainability, introduced new APIs for window and graphics management, and streamlined event handling across Linux and macOS. Using Java, C++, and Makefile scripting, Marat addressed platform-specific complexities by relocating and abstracting native code, enhancing cursor and input robustness, and optimizing build configurations. His work resulted in a more consistent user experience, faster onboarding for contributors, and a leaner, more reliable rendering pipeline for desktop application development.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
64Total
Bugs
6
Commits
64
Features
20
Lines of code
4,792
Activity Months3
Your Network
902 peopleSame Organization
@jetbrains.com670
Shared Repositories
232
Work History
March 2026
12 Commits • 3 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for JetBrainsRuntime: Delivered Wayland-first enhancements to window management and rendering, improved screencast bounds and coordinate transforms for Wayland, and strengthened build stability for rendering/screencast paths. Reverted a window decoration painting regression to restore correct title bar rendering. Overall impact: smoother Wayland UX, more reliable rendering pipeline, and leaner, faster builds enabling quicker iteration for client deployments and CI.
12 Commits • 3 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for JetBrainsRuntime: Delivered Wayland-first enhancements to window management and rendering, improved screencast bounds and coordinate transforms for Wayland, and strengthened build stability for rendering/screencast paths. Reverted a window decoration painting regression to restore correct title bar rendering. Overall impact: smoother Wayland UX, more reliable rendering pipeline, and leaner, faster builds enabling quicker iteration for client deployments and CI.
March 2026
February 2026
43 Commits • 16 Features
Feb 1, 2026February 2026 monthly summary for JetBrainsRuntime focused on Wayland integration, rendering improvements, and cross-platform modularization. Delivered a major Wayland refactor that introduces LWWindowPeerAPI and LWGraphicsConfig alignment, expanded focus management to include LW components, and decoupled mouse event dispatch across LW peers. Implemented Wayland: Flush Onscreen Graphics pipeline and improved cursor handling with updateCursorImmediately, including passing context to ensure correct cursor updates. Relocated macOS-specific flushOnscreenGraphics logic to LWToolkit, and added toolkit-level APIs to locate delegates’ peers. Performed comprehensive refactors to decouple components from Toolkit and PlatformWindow, enabling more maintainable, testable code and cleaner architecture. Integrated XdgDesktopPortalRobot into Wayland workflow and reorganized Screencast native code and keysym mapping for cross-platform support. Major test fixes, including reflection-based tests updated to align with new structure.
February 2026
43 Commits • 16 Features
Feb 1, 2026February 2026 monthly summary for JetBrainsRuntime focused on Wayland integration, rendering improvements, and cross-platform modularization. Delivered a major Wayland refactor that introduces LWWindowPeerAPI and LWGraphicsConfig alignment, expanded focus management to include LW components, and decoupled mouse event dispatch across LW peers. Implemented Wayland: Flush Onscreen Graphics pipeline and improved cursor handling with updateCursorImmediately, including passing context to ensure correct cursor updates. Relocated macOS-specific flushOnscreenGraphics logic to LWToolkit, and added toolkit-level APIs to locate delegates’ peers. Performed comprehensive refactors to decouple components from Toolkit and PlatformWindow, enabling more maintainable, testable code and cleaner architecture. Integrated XdgDesktopPortalRobot into Wayland workflow and reorganized Screencast native code and keysym mapping for cross-platform support. Major test fixes, including reflection-based tests updated to align with new structure.
January 2026
9 Commits • 1 Features
Jan 1, 2026Monthly summary for 2026-01: Delivered cross-platform windowing modernization and macOS input handling improvements in JetBrainsRuntime, focusing on architecture consolidation, decoupling, and maintainability. Key changes include decoupling PlatformWindow from LWWindowPeer, relocating LW/AWT-related classes across platforms, inlining internal methods for readability, and addressing a macOS mouse event handling issue to improve user experience. Impact includes stronger cross-platform consistency, modularity, and maintainability, reduced platform-specific complexity, and faster onboarding for contributors. Demonstrated technologies: Java, JBR, LW/AWT architecture, refactoring, API decoupling, and macOS event handling.
9 Commits • 1 Features
Jan 1, 2026Monthly summary for 2026-01: Delivered cross-platform windowing modernization and macOS input handling improvements in JetBrainsRuntime, focusing on architecture consolidation, decoupling, and maintainability. Key changes include decoupling PlatformWindow from LWWindowPeer, relocating LW/AWT-related classes across platforms, inlining internal methods for readability, and addressing a macOS mouse event handling issue to improve user experience. Impact includes stronger cross-platform consistency, modularity, and maintainability, reduced platform-specific complexity, and faster onboarding for contributors. Demonstrated technologies: Java, JBR, LW/AWT architecture, refactoring, API decoupling, and macOS event handling.
January 2026
Activity
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Quality Metrics
Correctness87.8%
Maintainability83.8%
Architecture85.4%
Performance81.0%
AI Usage24.4%
Skills & Technologies
Programming Languages
CC++JavaMakefilePython
Technical Skills
API DesignAPI DevelopmentAWTC programmingC++ programmingCode RefactoringCross-Platform DevelopmentCross-platform DevelopmentDesktop DevelopmentGraphics ProgrammingInterface DesignJNIJavaJava AWTJava programming
Repositories Contributed To
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