JetBrains/educational-plugin
Jan 2025 – Mar 2025
2 Months active
Languages Used
JavaKotlin
Technical Skills
AI IntegrationCode AnalysisIntelliJ Plugin DevelopmentRefactoringFrontend DevelopmentJava Swing
anchouls
PROFILE
Anchouls
Anna Potriasaeva developed two key features for the JetBrains/educational-plugin, focusing on AI-driven code hinting and user feedback workflows. She enhanced AI hint reduction for Kotlin PSI types by refactoring solution logic, expanding PSI element support, and aligning with IntelliJ’s threading model using runReadAction in Kotlin and Java. Anna also improved maintainability by simplifying code paths and removing unnecessary checks. In a separate feature, she implemented a new UI for AI hint feedback, introducing like and dislike buttons using Java Swing to streamline user input. Her work delivered clearer hints, reduced feedback friction, and enabled more actionable data collection.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
586
Activity Months2
Your Network
668 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025Month 2025-03: Delivered the AI Hint Feedback Buttons UI for the JetBrains educational-plugin, introducing like and dislike actions directly on AI-generated hint banners to streamline user feedback and improve signal quality. The change reduces friction by replacing the previous feedback action link and enables more actionable data for hint improvements.
1 Commits • 1 Features
Mar 1, 2025Month 2025-03: Delivered the AI Hint Feedback Buttons UI for the JetBrains educational-plugin, introducing like and dislike actions directly on AI-generated hint banners to streamline user feedback and improve signal quality. The change reduces friction by replacing the previous feedback action link and enables more actionable data for hint improvements.
March 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for JetBrains/educational-plugin focused on delivering a robust AI hint enhancement for Kotlin PSI types, with a strong emphasis on code correctness, expand PSI coverage, and cleaner code paths. The work prioritizes business value by improving accuracy in AI-driven hints, reducing noise in student feedback, and enabling smoother future enhancements.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for JetBrains/educational-plugin focused on delivering a robust AI hint enhancement for Kotlin PSI types, with a strong emphasis on code correctness, expand PSI coverage, and cleaner code paths. The work prioritizes business value by improving accuracy in AI-driven hints, reducing noise in student feedback, and enabling smoother future enhancements.
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage65.0%
Skills & Technologies
Programming Languages
JavaKotlin
Technical Skills
AI IntegrationCode AnalysisFrontend DevelopmentIntelliJ Plugin DevelopmentJava SwingKotlinRefactoringUI Development
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