This repository is the core implementation of the Kotlin programming language, serving as the reference compiler and tooling suite. It encompasses the full compilation pipeline (frontend, IR, backends for JVM, JS, Native, Wasm), the standard library, and build tool integrations (Gradle, Maven). The architecture is modular, separating concerns into compiler logic, analysis APIs for IDEs, and platform-specific backends. Key entry points include the CLI compiler, the Gradle plugin, and the Analysis API used by IDEs like IntelliJ IDEA. The primary data flow involves parsing source code into PSI/FIR, transforming it into IR, and generating target-specific bytecode or executables. It relies on external dependencies such as the Java JDK, LLVM (for Native), and Gradle.
Kotest is a comprehensive, multiplatform testing framework for Kotlin, providing a rich assertion library, property-based testing, multiple spec styles (FunSpec, StringSpec, WordSpec, etc.), a modular test engine, and extensive extension system (Spring, Testcontainers, Allure, etc.). It includes IntelliJ IDEA plugin for gutter icons, test navigation, and run configurations, as well as Gradle plugin for build integration. The framework is well-architected with clean abstractions like the Matcher interface, Arb/Gen combinators, and test execution interceptors, though some deprecated APIs and experimental features indicate ongoing evolution.
The antlr/intellij-plugin-v4 repository is an IntelliJ IDEA plugin that provides comprehensive language support for ANTLR v4 grammar files (.g4). It offers syntax highlighting, real-time error checking, code navigation, refactoring capabilities (such as rule extraction and inlining), live parse tree preview, grammar profiling, and code generation. The plugin integrates deeply with the IntelliJ Platform SDK, implementing extension points like FileTypeFactory, ParserDefinition, SyntaxHighlighterFactory, ExternalAnnotator, StructureViewFactory, CompletionContributor, and custom tool windows. Its architecture follows a modular design where core functionality is separated into concerns such as parsing, preview, refactoring, and configuration, utilizing patterns like the adaptor pattern for ANTLR integration, background processing for UI responsiveness, and specialized token streams for incremental parsing.
TeXiFy-IDEA is an IntelliJ IDEA plugin that provides comprehensive LaTeX editing support. It enhances the IntelliJ Platform with features including syntax highlighting, code completion, inspections, refactoring intentions, build execution (supporting pdfLaTeX, XeLaTeX, LuaLaTeX, latexmk, biber), forward/inverse search with PDF viewers, bibliography management (local BibTeX and remote libraries like Zotero/Mendeley), and project structure visualization. The plugin follows IntelliJ Platform SDK conventions with a modular architecture organized around concerns like actions, editing, grammar, indexing, PSI, run configurations, settings, structure view, utilities, and remote library integration. It demonstrates strong software engineering practices through patterns like step-based execution systems, PDF viewer abstraction, magic comment parsing, Kotlin DSL builders for command definitions, and generic caching mechanisms. The plugin is actively maintained with recent commits, regular version updates, dependency management via Dependabot, and comprehensive testing.
This repository is an IntelliJ Platform plugin that integrates ktlint, the Kotlin linter, into JetBrains IDEs. It runs ktlint automatically on Kotlin files, highlights violations in the editor, provides quick fixes, and supports custom rulesets and baseline files. The plugin is built as a Gradle multi-module project with a dedicated ktlint-lib module that bundles the ktlint engine, and a ktlint-plugin module containing the IntelliJ-specific integration. It uses the IntelliJ Platform Gradle Plugin, convention plugins in build-logic, and a set of shell scripts for release and IDE compatibility checks. Architecturally, the plugin is a standard IntelliJ plugin: it registers an external annotator for real-time diagnostics, a local inspection for batch analysis, and persistent settings components for application and project configuration. It caches baseline violations to avoid re-reporting known issues and loads external ruleset JARs at runtime. The build is automated with GitHub Actions for build verification, UI tests, IDE release checks, and Gradle wrapper updates. The code is written in Kotlin and follows IntelliJ plugin best practices, with JUnit4 tests and a release pipeline that generates plugin descriptions from the README.
This is an IntelliJ IDEA plugin providing comprehensive Elixir language support. It implements a full IDE integration: lexer/parser for Elixir, BEAM bytecode decompiler, debugger with line breakpoints and variable inspection, EEx/HEEx template support, code insight (completion, navigation, refactoring, inspections), SDK management for Elixir/Erlang, and integration with external tools (Credo, Dialyzer, mix format). The architecture is a monolith within the IntelliJ Platform, with generated PSI from Grammar-Kit and hand-written Kotlin/Java modules for resolvers, annotators, formatting, and debugger backend. The codebase demonstrates strong engineering practices: read-lock discipline, coroutine-based concurrency, modular operator interfaces, and systematic test coverage (parser definition tests, variable oracle tests, formatting tests). It is actively maintained with frequent releases tracking IntelliJ Platform API changes. The repository is not a data or research project; it is a production-quality IDE plugin.
This repository is the open-source 'Rainbow Brackets Lite' IntelliJ IDEA plugin, a free and feature-limited version of the popular Rainbow Brackets plugin. The plugin colorizes nested brackets (round, square, squiggly, angle) with distinct colors to improve code readability, and provides additional features like rainbow indent guide lines and scope highlighting via mouse shortcuts. It is implemented as a JetBrains plugin using the IntelliJ Platform SDK, with core logic split between an Annotator (for simple leaf-elements) and a HighlightVisitor (for more accurate per-language matching via BracePairProvider extension points). The architecture follows standard IntelliJ plugin patterns: extension points for brace providers, custom text attributes, and a thorough settings UI integrated into the IDE's color scheme page. The codebase is well-structured with proper separation of concerns, utility functions (memoization, color blending), and comprehensive tests for multiple languages. While tightly coupled to the IntelliJ API, several components (BracePairProvider interface, memoization utility, color blending) demonstrate non-obvious skill and could be extracted for reuse in other JetBrains plugins or JVM projects.
AutoDev is a multi-platform AI-powered coding assistant that integrates with IntelliJ IDEA and VS Code, and also runs as a standalone desktop app, CLI, web app, and mobile app. Its core engine is a Kotlin Multiplatform (KMP) agent framework that orchestrates LLM calls, tool execution (file I/O, shell, web fetch, MCP servers), and code generation/refactoring. The architecture is modular: `mpp-core` provides shared agent logic, tool schemas, linters, and document parsing; IDE-specific plugins (`mpp-idea`, `mpp-vscode`) deliver chat panels, inline completions, code review, and database integration; `mpp-ui` is a Compose Multiplatform frontend for desktop/CLI/mobile; `mpp-server` is a Ktor-based remote agent server; `xiuper-ui` implements a novel spec-driven UI DSL (NanoDSL) for rendering agent output as interactive components. The system supports multiple LLM providers (OpenAI, Anthropic, Google, GitHub Copilot, etc.), MCP protocol for tool integration, and A2A (agent-to-agent) communication. It includes a custom DSL (DevIns/Shire) for defining agent behaviors, completions, and variable resolution. While primarily an application, it includes data processing components like code graph parsing, document indexing, NLP tokenization, and heuristic scoring models, giving it a hybrid character. The codebase is large and actively developed, with frequent releases and a rich set of features, though some platform-specific implementations are stubs and there is moderate technical drift from deprecated APIs and naming inconsistencies.
ProxyAI (formerly CodeGPT) is a JetBrains IDE plugin that provides AI-powered code assistance including chat, inline editing, code completions, agent-based task execution, commit message generation, and next-edit suggestions. The plugin integrates with multiple LLM providers (OpenAI, Anthropic, Google, Mistral, Ollama, llama.cpp, custom OpenAI-compatible, and its own ProxyAI cloud) and supports local inference via a bundled llama.cpp submodule. It implements an agent framework with a tool system (read, write, edit, bash, web search, diagnostics, debugger control), MCP (Model Context Protocol) client for external tool servers, and ACP (Agent Client Protocol) for external agent integration. The architecture follows IntelliJ Platform conventions: services, actions, tool windows, settings via PersistentStateComponent, and editor listeners. The codebase is a mix of Kotlin (dominant) and Java, with Gradle build system and extensive use of coroutines for async operations.
This repository contains documentation and promotional materials for the MyBatisCodeHelper-Pro IntelliJ IDEA plugin. The actual plugin source code is not included in this snapshot; only README files, documentation pages, screenshots, and a few template files are present. The plugin provides advanced MyBatis support including SQL auto-completion, database-aware code generation, method-name-to-SQL conversion, OGNL expression assistance, real-time SQL validation, and MCP (Model Context Protocol) integration for AI coding assistants. It is a commercial plugin with a free tier and a pro tier. The documentation describes features, installation, activation, and usage scenarios across both Chinese and English audiences.
This is the Anko library for Android, a Kotlin DSL that provides type-safe builders for UI layouts, SQLite queries, intents, dialogs, async tasks, logging, and other common Android patterns. The repository additionally contains a code generator (using ASM to parse Android SDK classes) that produces extension functions for views, properties, listeners, and services per API level, and an IntelliJ/Android Studio plugin that includes XML-to-Anko conversion, live preview of DSL layouts, and refactoring intentions. The library is officially deprecated (see GOODBYE.md) in favor of Jetpack Compose, Splitties, and Android KTX; the last commit was in 2019. The codebase is well-structured overall, but the generated files are massive and repetitive, and the library has not kept pace with the Android ecosystem (e.g., still uses android.support libraries, GlobalScope for coroutines, and targets SDK versions up to 28). Reusable components include the static commons (Logging, Async, Intents, AlertBuilder), the code generator's class tree and rendering pipeline, and the SQLite query builders.