JetBrains/JetBrainsRuntime
Oct 2025 – Oct 2025
1 Month active
Languages Used
C++
Technical Skills
Code AnalysisCode GenerationCode analysisCompiler InternalsCompiler developmentDebugging
María Arias de Reyna Domínguez
PROFILE
María Arias De Reyna Domínguez
Maria Sde worked on the JetBrainsRuntime repository, delivering enhancements to the AOT map logging system to improve traceability and observability of AOT map outputs. She implemented ownership attribution for various runtime data structures, such as MethodData, MethodCounters, and training data, ensuring that each entry in the AOT map output could be traced back to its owning method or class. Using C++ and leveraging her expertise in compiler internals and runtime analysis, Maria’s work enhanced the debuggability and maintainability of the AOT pipeline. These changes enable faster issue resolution and provide more detailed insights for developers working with AOT compilation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
72
Activity Months1
Your Network
958 people
Work History
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for JetBrainsRuntime: Delivered AOT Map Logging Enhancements to improve traceability and observability of AOT map outputs. Implemented ownership attribution across MethodData, MethodCounters, KlassTrainingData, MethodTrainingData, and CompileTrainingData, including owning methods/classes and external names. These changes enhance debuggability and enable faster issue resolution in AOT-related pipelines.
3 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for JetBrainsRuntime: Delivered AOT Map Logging Enhancements to improve traceability and observability of AOT map outputs. Implemented ownership attribution across MethodData, MethodCounters, KlassTrainingData, MethodTrainingData, and CompileTrainingData, including owning methods/classes and external names. These changes enhance debuggability and enable faster issue resolution in AOT-related pipelines.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Code AnalysisCode GenerationCode analysisCompiler InternalsCompiler developmentDebuggingLow-level programmingRuntime AnalysisRuntime Systems
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