{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-jetbrains-jetbrains-ai-assistant","slug":"ai-assistant-by-jetbrains","name":"AI Assistant by JetBrains","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=JetBrains.jetbrains-ai-assistant","page_url":"https://unfragile.ai/ai-assistant-by-jetbrains","categories":["code-editors"],"tags":["agent","ai","anthropic","assistant","autocomplete","c","C#","c++","chatbot","chatgpt","claude","completion","copilot","csharp","CSS","documentation","gemini","gemini 3","generation","Go","HTML","Java","javascript","JetBrains","JSON","keybindings","kotlin","Markdown","openai","PHP","python","R","refactor","Ruby","Rust","SASS","Scala","SCSS","Shell","snippet","SQL","Swift","TOML","typescript","YAML"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_0","uri":"capability://code.generation.editing.syntax.aware.single.line.and.multi.block.code.completion","name":"syntax-aware single-line and multi-block code completion","description":"Generates contextually appropriate code completions using JetBrains' proprietary Mellum LLM, which is optimized for developer workflows and syntax awareness across 10+ programming languages. The extension analyzes the current file context, detects the active programming language, and produces completions that respect language-specific syntax rules and project conventions. Completions are delivered inline within the editor with latency optimized for real-time developer interaction.","intents":["I want the IDE to suggest the next line of code as I'm typing","I need to complete a multi-line code block without manually typing boilerplate","I want completions that understand my project's coding style and patterns"],"best_for":["individual developers writing code in VS Code","teams using JetBrains-standardized development environments","polyglot developers working across Java, Python, JavaScript, C#, C++, Go, Rust, TypeScript, PHP, Kotlin"],"limitations":["Completions are cloud-based and require internet connectivity; no offline fallback documented","Context window size for completion inference is undocumented, may limit multi-file awareness","Latency for multi-block completions is not specified; real-time responsiveness depends on network conditions","Does not provide language-specific refactoring or analysis features beyond AI suggestions—requires separate language extensions (e.g., ReSharper for C#)"],"requires":["Visual Studio Code or OpenVSX-compatible editor (Cursor, Windsurf, VSCodium)","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","Appropriate language extension installed for syntax highlighting and language detection"],"input_types":["source code (current file context)","programming language identifier","cursor position and surrounding code"],"output_types":["inline code suggestions (single-line or multi-block)","syntax-compliant code snippets"],"categories":["code-generation-editing","real-time-completion"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_1","uri":"capability://text.generation.language.context.aware.chat.interface.for.codebase.interaction","name":"context-aware chat interface for codebase interaction","description":"Provides a natural language chat interface that maintains awareness of the current file, project structure, and code context. The chat system allows developers to ask questions about code, request explanations, and iteratively refine prompts while the AI maintains conversation history and project context. The interface is built into VS Code's sidebar or panel UI and integrates with the Mellum LLM backend for language understanding and code-aware responses.","intents":["I want to ask the AI to explain what this function does in plain English","I need to understand a complex piece of code without reading through all the details","I want to have a back-and-forth conversation with the AI about my codebase"],"best_for":["developers onboarding to unfamiliar codebases","teams documenting legacy code through AI-assisted explanation","solo developers debugging complex logic through conversational reasoning"],"limitations":["Chat context window size is undocumented; may not support arbitrarily large code files or multi-file context","Conversation history is not persisted across sessions; each new chat session starts fresh","No explicit control over which files or directories are included in chat context; scope is inferred automatically","Chat responses are generated by cloud-based inference; no offline mode available"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","At least one file open in the editor to establish project context"],"input_types":["natural language queries (text)","current file context (source code)","project structure metadata","conversation history (within session)"],"output_types":["natural language explanations (text)","code snippets with annotations","structured answers to specific questions"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_10","uri":"capability://memory.knowledge.project.context.inference.without.explicit.file.selection","name":"project context inference without explicit file selection","description":"Automatically infers project context from the currently open file, active editor state, and workspace metadata without requiring developers to explicitly select files or directories for analysis. The system detects the programming language, identifies related files (imports, dependencies), and builds a mental model of the codebase scope. Context scope is limited to files accessible within VS Code; the extension does not directly access the file system outside the editor.","intents":["I want the AI to understand my project structure without me having to specify which files matter","I need the AI to know about my imports and dependencies when suggesting code","I want context-aware suggestions that understand my project's architecture"],"best_for":["developers working on well-structured projects with clear file organization","teams using standard project layouts (Maven, npm, Cargo, etc.)","solo developers who want minimal configuration overhead"],"limitations":["Context scope is limited to files open or accessible in VS Code; cannot access files outside the workspace","Context inference is heuristic-based and may miss important files or include irrelevant context","No explicit control over context scope; developers cannot manually specify which files to include or exclude","Context window size is undocumented; large projects may exceed inference limits","No caching of context; each inference request re-analyzes the project state"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","Project files open in VS Code workspace"],"input_types":["active file and cursor position","workspace metadata (file structure, open files)","import statements and dependency declarations"],"output_types":["inferred project context (implicit, not exposed to user)","context-aware code suggestions and responses"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_11","uri":"capability://safety.moderation.telemetry.collection.for.product.improvement.with.undocumented.opt.out","name":"telemetry collection for product improvement with undocumented opt-out","description":"Collects telemetry data from the extension to improve product features and user experience. The system tracks usage patterns, feature adoption, and error conditions, transmitting this data to JetBrains servers for analysis. Telemetry collection is enabled by default, but an opt-out mechanism is not documented in the marketplace or extension documentation, requiring users to consult external privacy policies.","intents":["JetBrains wants to understand how developers use the AI assistant to improve features","Teams want to ensure telemetry collection complies with their privacy policies"],"best_for":["JetBrains product teams analyzing feature usage and adoption","developers who accept telemetry collection for product improvement"],"limitations":["Telemetry is enabled by default with no documented opt-out mechanism in the extension UI","Specific data points collected are not documented; unclear what information is transmitted","Privacy implications are not detailed in the extension documentation; users must consult external JetBrains Privacy Notice","No transparency into how telemetry data is used or retained","No granular control over which telemetry categories to enable/disable"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Internet connection for telemetry transmission"],"input_types":["usage events (feature invocations, completions accepted/rejected)","error logs and diagnostics","performance metrics"],"output_types":["telemetry data transmitted to JetBrains servers (not visible to user)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_2","uri":"capability://code.generation.editing.multi.file.code.editing.with.agentic.orchestration","name":"multi-file code editing with agentic orchestration","description":"Enables the AI to propose and apply changes across multiple files in a single interaction through an 'Edit' or 'Agentic' mode. This mode orchestrates multiple AI models (specific models undocumented) to decompose complex refactoring or feature-addition tasks, generate code changes, and apply them directly to the codebase. The system operates with human-in-the-loop supervision, requiring developer approval before changes are committed, and integrates with VS Code's file system and editor APIs to apply diffs.","intents":["I want the AI to refactor a function and update all its call sites automatically","I need to add a new feature that requires changes to multiple files at once","I want the AI to suggest a multi-file refactoring and apply it with one click"],"best_for":["developers performing large-scale refactorings across multiple files","teams automating boilerplate generation for new features","solo developers who want AI-assisted multi-file edits with human oversight"],"limitations":["Agentic mode model orchestration strategy is undocumented; unclear which models are used or how they coordinate","No explicit rollback mechanism documented; changes must be manually undone via VS Code's undo or version control","Scope of multi-file changes is limited to files accessible within VS Code; cannot modify files outside the editor context","Approval workflow is manual; no batch approval or conditional auto-apply for low-risk changes","Performance impact of multi-file analysis is undocumented; may introduce latency for large projects"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","Project files open or accessible within VS Code workspace","Write permissions on project files"],"input_types":["natural language request for multi-file changes","current project context (multiple files)","existing code structure and dependencies"],"output_types":["proposed code diffs across multiple files","structured change descriptions","applied file modifications (after user approval)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_3","uri":"capability://text.generation.language.automatic.commit.message.generation.from.code.changes","name":"automatic commit message generation from code changes","description":"Analyzes staged or uncommitted code changes and generates contextually appropriate commit messages using the Mellum LLM. The system examines diffs, understands the semantic intent of changes, and produces commit messages that follow conventional commit formats or project-specific conventions. This capability integrates with VS Code's source control UI and can be triggered from the commit dialog or command palette.","intents":["I want the AI to write a descriptive commit message based on my code changes","I need to generate commit messages quickly without manually describing each change","I want commit messages that follow my project's naming conventions"],"best_for":["developers working in fast-paced environments where commit message quality matters","teams enforcing conventional commit standards","open-source contributors who need to write clear commit messages for pull requests"],"limitations":["Commit message generation is based on code diffs only; does not access issue trackers, PR descriptions, or external context","No explicit support for project-specific commit message templates or conventions; relies on Mellum's general understanding","Generated messages may not capture the full intent of changes if diffs are large or complex","No feedback loop to improve message generation based on developer edits or rejections"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","Git repository initialized in the project","Staged or uncommitted changes in the working directory"],"input_types":["code diffs (staged or uncommitted changes)","file paths and change types (add, modify, delete)"],"output_types":["natural language commit message (text)","structured commit message with title and body"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_4","uri":"capability://text.generation.language.code.explanation.and.documentation.generation","name":"code explanation and documentation generation","description":"Generates human-readable explanations of code functions, classes, or entire files, and can automatically produce documentation in language-appropriate formats (docstrings for Python, JSDoc for JavaScript, etc.). The system analyzes code structure, detects the programming language, and produces documentation that matches the language's standard conventions. Documentation can be inserted directly into the code or displayed in the chat interface.","intents":["I want the AI to explain what this complex function does","I need to generate docstrings for my Python functions automatically","I want to document a class with proper JSDoc comments for JavaScript"],"best_for":["developers documenting legacy code without existing documentation","teams enforcing documentation standards across multiple languages","open-source maintainers generating API documentation"],"limitations":["Documentation generation is language-specific but may not perfectly match project-specific documentation styles or conventions","Generated documentation is based on code analysis alone; does not access external specifications, design documents, or requirements","No validation that generated documentation is accurate or complete; developer review is required","Documentation insertion into code requires manual approval and may conflict with existing comments"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","Source code file with functions or classes to document","Appropriate language extension for syntax highlighting"],"input_types":["source code (function, class, or file)","programming language identifier","existing comments or documentation (for context)"],"output_types":["natural language explanation (text)","language-specific documentation comments (docstrings, JSDoc, etc.)","structured documentation with parameter and return type descriptions"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_5","uri":"capability://code.generation.editing.bug.identification.and.code.optimization.suggestions","name":"bug identification and code optimization suggestions","description":"Analyzes code to identify potential bugs, performance issues, and optimization opportunities, then presents findings and suggestions through the chat interface or inline comments. The system uses static analysis patterns combined with Mellum's code understanding to detect common pitfalls (null pointer dereferences, inefficient loops, etc.) and suggests improvements. Suggestions are presented as conversational recommendations rather than enforced linting rules.","intents":["I want the AI to review my code and point out potential bugs","I need suggestions for optimizing the performance of this function","I want to understand why this code might be problematic"],"best_for":["developers performing code reviews without dedicated reviewers","teams improving code quality through AI-assisted analysis","solo developers debugging performance issues"],"limitations":["Bug detection is heuristic-based and may produce false positives or miss subtle bugs that require deep domain knowledge","Optimization suggestions are general-purpose and may not account for project-specific performance constraints or hardware targets","No integration with static analysis tools (linters, type checkers); operates independently","Suggestions are conversational and not actionable without manual code modification","No tracking of which suggestions have been applied or dismissed"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","Source code file to analyze"],"input_types":["source code (function, class, or file)","programming language identifier","project context (optional)"],"output_types":["natural language bug descriptions and explanations","optimization suggestions with rationale","code examples demonstrating improvements"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_6","uri":"capability://code.generation.editing.multi.language.code.generation.with.language.detection","name":"multi-language code generation with language detection","description":"Automatically detects the programming language of the current file and generates code completions, snippets, and full functions in the appropriate language syntax. The system maintains language-specific knowledge for Java, Kotlin, Python, JavaScript, TypeScript, C#, C++, PHP, Go, Rust, and others, ensuring that generated code respects language idioms, type systems, and standard libraries. Language detection is automatic based on file extension and editor state.","intents":["I want code completions that understand Python's indentation and syntax","I need the AI to generate Java code that follows Java conventions and type safety","I want completions that work correctly across multiple languages in my polyglot project"],"best_for":["polyglot developers working across multiple programming languages","teams with mixed-language codebases (e.g., Java backend + JavaScript frontend)","developers learning new languages who need syntax-correct suggestions"],"limitations":["Language support is limited to 10+ documented languages; less common languages may not be fully supported","Language detection relies on file extension; may fail for files with incorrect extensions or mixed-language files","Generated code may not follow project-specific language conventions or style guides beyond general language idioms","No explicit support for language-specific frameworks or libraries; suggestions are based on standard library knowledge"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","File with recognized language extension (.py, .js, .java, .cs, .cpp, .go, .rs, .ts, .php, .kt, etc.)","Appropriate language extension installed for syntax highlighting"],"input_types":["source code in any supported language","file extension (for language detection)","cursor position and surrounding code"],"output_types":["syntax-correct code completions in the detected language","language-idiomatic code snippets","full function implementations"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_7","uri":"capability://tool.use.integration.jetbrains.account.based.authentication.and.license.management","name":"jetbrains account-based authentication and license management","description":"Manages authentication and licensing through JetBrains Account integration, automatically granting free AI EAP (Early Access Program) licenses on first login and supporting existing JetBrains AI subscriptions. The system handles token management, license validation, and subscription status checking through JetBrains' backend services. Users authenticate once and the extension maintains session state across VS Code restarts.","intents":["I want to authenticate with my JetBrains Account to use the AI assistant","I need to understand what license I have and what features are available","I want to manage my AI subscription through the extension"],"best_for":["existing JetBrains IDE users with established accounts","developers who want to try AI features without upfront cost (via free EAP)","teams with JetBrains AI subscriptions"],"limitations":["Requires JetBrains Account; no support for anonymous or alternative authentication methods","Free EAP license is temporary and may expire or transition to paid plans post-public release","License management UI is not documented; users must manage subscriptions through external JetBrains Account portal","No support for custom or third-party authentication providers","Geographic restriction: does not work in China during public preview"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account (free to create)","Internet connection for authentication and license validation"],"input_types":["JetBrains Account credentials (email/password or SSO)","device authorization (for token-based auth)"],"output_types":["authentication token (stored locally)","license status and subscription information","feature availability based on license tier"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_8","uri":"capability://tool.use.integration.cloud.based.inference.with.undocumented.latency.and.availability","name":"cloud-based inference with undocumented latency and availability","description":"Executes all AI model inference on JetBrains-hosted cloud servers rather than locally, enabling access to powerful models (Mellum and multi-model orchestration) without requiring local GPU resources. The system transmits code context and requests to cloud endpoints, processes them server-side, and returns results to the IDE. Network latency and cloud service availability directly impact user experience, though specific SLAs and latency targets are undocumented.","intents":["I want to use powerful AI models without running them locally on my machine","I need the AI to process code without consuming my laptop's CPU and memory","I want automatic updates to AI models without manual installation"],"best_for":["developers with limited local compute resources (laptops, low-end machines)","teams that want centralized model management and updates","developers in regions with reliable internet connectivity"],"limitations":["Requires constant internet connectivity; no offline mode or local fallback","Cloud inference latency is undocumented; real-time responsiveness depends on network conditions and server load","No SLA or uptime guarantee documented; service availability is not specified","Code context is transmitted to JetBrains servers; privacy implications depend on undocumented data handling policies","Rate limiting or quota enforcement is undocumented; unclear if there are usage limits per user or subscription tier","Geographic restriction: service does not work in China during public preview"],"requires":["Visual Studio Code or OpenVSX-compatible editor","JetBrains Account with active AI subscription or free EAP license","Stable internet connection (minimum bandwidth undocumented)","Access to JetBrains cloud infrastructure (not available in China during preview)"],"input_types":["code context (source code snippets or full files)","natural language prompts","project metadata"],"output_types":["code completions or suggestions","natural language responses","structured analysis results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-jetbrains-jetbrains-ai-assistant__cap_9","uri":"capability://tool.use.integration.vs.code.sidebar.panel.ui.integration.with.command.palette.access","name":"vs code sidebar/panel ui integration with command palette access","description":"Integrates the AI chat interface and controls into VS Code's native sidebar or panel UI, making the assistant accessible alongside other VS Code panels (Explorer, Source Control, etc.). The system also registers commands in the command palette, allowing keyboard-driven access to AI features without relying on mouse navigation. UI state is preserved across editor sessions.","intents":["I want the AI chat to be always visible in my VS Code sidebar","I need quick keyboard access to AI features via the command palette","I want the AI assistant to feel like a native part of VS Code, not a separate tool"],"best_for":["developers who prefer keyboard-driven workflows","teams using VS Code as their primary IDE","developers who want minimal context switching between coding and AI interaction"],"limitations":["UI layout and customization options are undocumented; unclear if sidebar width, panel position, or theme can be customized","Command palette integration is implied but not explicitly documented; specific command names and keybindings are unknown","No support for custom UI themes or dark/light mode preferences beyond VS Code's native settings","Sidebar state persistence may conflict with other extensions that manage sidebar layout"],"requires":["Visual Studio Code 1.80+ (minimum version undocumented; inferred from typical VS Code extension requirements)","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference"],"input_types":["mouse clicks on sidebar/panel UI","keyboard commands via command palette","text input in chat interface"],"output_types":["rendered chat interface with messages","inline code suggestions","UI state and layout"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code or OpenVSX-compatible editor (Cursor, Windsurf, VSCodium)","JetBrains Account with active AI subscription or free EAP license","Internet connection for cloud-based model inference","Appropriate language extension installed for syntax highlighting and language detection","Visual Studio Code or OpenVSX-compatible editor","At least one file open in the editor to establish project context","Project files open in VS Code workspace","Internet connection for telemetry transmission","Project files open or accessible within VS Code workspace","Write permissions on project files"],"failure_modes":["Completions are cloud-based and require internet connectivity; no offline fallback documented","Context window size for completion inference is undocumented, may limit multi-file awareness","Latency for multi-block completions is not specified; real-time responsiveness depends on network conditions","Does not provide language-specific refactoring or analysis features beyond AI suggestions—requires separate language extensions (e.g., ReSharper for C#)","Chat context window size is undocumented; may not support arbitrarily large code files or multi-file context","Conversation history is not persisted across sessions; each new chat session starts fresh","No explicit control over which files or directories are included in chat context; scope is inferred automatically","Chat responses are generated by cloud-based inference; no offline mode available","Context scope is limited to files open or accessible in VS Code; cannot access files outside the workspace","Context inference is heuristic-based and may miss important files or include irrelevant context","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.48,"quality":0.34,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:40.998Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=ai-assistant-by-jetbrains","compare_url":"https://unfragile.ai/compare?artifact=ai-assistant-by-jetbrains"}},"signature":"yfH2kk5S/Q8LHKWeH6d0hnG1FkccIyXv06nzA/gOUtOMoEZvpKFCdLwM2WogX6k5CU/dzYdglEIaO3mK/6g5Bg==","signedAt":"2026-06-20T10:51:42.511Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-assistant-by-jetbrains","artifact":"https://unfragile.ai/ai-assistant-by-jetbrains","verify":"https://unfragile.ai/api/v1/verify?slug=ai-assistant-by-jetbrains","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}