
Ilia Permiashkin engineered core language tooling and AI-driven enhancements for the JetBrains/intellij-community repository, focusing on Grazie’s spellchecking, grammar, and text analysis features. He modernized the codebase with Java and Kotlin, introducing per-language rule settings, ML-based grammar detection, and scalable caching for large files. His work included performance optimizations, thread-safe concurrency, and dependency upgrades, enabling faster, more reliable language processing. Ilia also contributed to Apache Lucene and LanguageTool, improving suggestion accuracy and thread safety. Through code refactoring, test automation, and integration of AI models, he delivered maintainable, high-performance solutions that advanced both developer productivity and end-user experience.
October 2025: Delivered core Grazie enhancements in JetBrains IntelliJ and concurrent language tooling improvements in LanguageTool, focusing on business value, performance, and maintainability. Core outcomes include centralized per-language rule settings, ML-driven disambiguation improvements, large-file processing optimizations, and safe, scalable initialization of language components, supported by updated AI models and testing tooling.
October 2025: Delivered core Grazie enhancements in JetBrains IntelliJ and concurrent language tooling improvements in LanguageTool, focusing on business value, performance, and maintainability. Core outcomes include centralized per-language rule settings, ML-driven disambiguation improvements, large-file processing optimizations, and safe, scalable initialization of language components, supported by updated AI models and testing tooling.
September 2025 performance-focused delivery for JetBrains/intellij-community focusing on stabilizing and expanding Grazie-based language tooling and AI integration. Key work included platform and dependency upgrades, significant performance optimizations, API enhancements, and codebase modernization to deliver faster spellchecking, more accurate suggestions, and a more maintainable codebase, enabling scalable AI-assisted features and reduced TTM for new capabilities.
September 2025 performance-focused delivery for JetBrains/intellij-community focusing on stabilizing and expanding Grazie-based language tooling and AI integration. Key work included platform and dependency upgrades, significant performance optimizations, API enhancements, and codebase modernization to deliver faster spellchecking, more accurate suggestions, and a more maintainable codebase, enabling scalable AI-assisted features and reduced TTM for new capabilities.
August 2025 performance highlights focused on strengthening language support, reliability, and tooling across two major repositories (JetBrains/intellij-community and Apache Lucene). Key outcomes include delivering Grazie Pro integration with language loading and default spellchecking (along with moving local checks to Grazie Lite and removing the feature flag), plus a set of stability and performance hardening across Grazie parsing and related components. Platform upgrades and dictionary tooling were completed, and cross-repo quality improvements were implemented to raise overall developer and user productivity.
August 2025 performance highlights focused on strengthening language support, reliability, and tooling across two major repositories (JetBrains/intellij-community and Apache Lucene). Key outcomes include delivering Grazie Pro integration with language loading and default spellchecking (along with moving local checks to Grazie Lite and removing the feature flag), plus a set of stability and performance hardening across Grazie parsing and related components. Platform upgrades and dictionary tooling were completed, and cross-repo quality improvements were implemented to raise overall developer and user productivity.

Overview of all repositories you've contributed to across your timeline