{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-ktiays-aicursor","slug":"codecursor-cursor-for-vs-code","name":"CodeCursor (Cursor for VS Code)","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=ktiays.aicursor","page_url":"https://unfragile.ai/codecursor-cursor-for-vs-code","categories":["code-editors","app-builders"],"tags":["chatgpt","code explanation","code generation","code summary","codex","copilot","gpt","gpt3.5","gpt4","openai"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-ktiays-aicursor__cap_0","uri":"capability://code.generation.editing.natural.language.to.code.generation.with.streaming.diff.preview","name":"natural-language-to-code generation with streaming diff preview","description":"Converts natural language prompts into executable code by routing requests through Cursor's server infrastructure to OpenAI GPT models, streaming generated code back to VS Code as a live text diff with accept/reject controls. The extension intercepts the generation stream and renders it incrementally in an inline notification panel, allowing users to preview changes before applying them to the document.","intents":["I want to generate a function from a description without writing boilerplate","I need to see what code will be generated before accepting it into my file","I want to quickly scaffold code snippets from natural language prompts"],"best_for":["solo developers building features incrementally","teams prototyping features quickly without manual coding","developers unfamiliar with specific language syntax"],"limitations":["Automatic code continuation disabled due to Cursor API limitations — multi-step generation requires manual prompting","Context limited to current file and user selection — cannot access project-wide codebase for informed generation","Cursor server acts as intermediary even with custom OpenAI API keys, adding ~100-200ms latency vs direct API calls","No built-in version control or undo history — accepts are permanent until manual revert"],"requires":["Visual Studio Code (minimum version unknown, likely 1.60+)","Active internet connection to Cursor server or OpenAI API","Cursor account sign-in OR custom OpenAI API key configured","Active document open in VS Code editor"],"input_types":["natural language text prompt","selected code snippet (optional context)","current document content (implicit context)"],"output_types":["generated code as text diff","inline notification with accept/reject buttons"],"categories":["code-generation-editing","ai-assisted-development"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_1","uri":"capability://text.generation.language.conversational.code.explanation.and.q.a.via.sidebar.chat","name":"conversational code explanation and q&a via sidebar chat","description":"Opens a persistent chat panel in VS Code's sidebar that maintains conversation context about the currently open document or selected code. Messages are routed through Cursor's server to GPT models, enabling developers to ask questions about code semantics, request explanations, or discuss implementation details without leaving the editor. The chat maintains multi-turn conversation history within a session.","intents":["I want to understand what this code does without reading documentation","I need to ask follow-up questions about code behavior in context","I want to discuss implementation approaches for the current file"],"best_for":["developers learning unfamiliar codebases","teams onboarding new engineers to existing projects","developers debugging complex logic by discussing with AI"],"limitations":["Chat context limited to current file or selection — cannot reference multiple files or project structure","No persistent chat history across sessions — conversation lost when sidebar is closed","Conversation context sent to Cursor server on every message, creating privacy considerations for proprietary code","No ability to reference external documentation or project-specific context automatically"],"requires":["Visual Studio Code with CodeCursor extension installed","Active internet connection to Cursor server","Cursor account sign-in OR custom OpenAI API key","At least one document open in editor (optional for general questions)"],"input_types":["natural language question text","current document content (implicit context)","selected code snippet (optional context)"],"output_types":["natural language explanation text","multi-turn conversation history in sidebar"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_10","uri":"capability://memory.knowledge.document.context.awareness.with.implicit.file.scope","name":"document context awareness with implicit file scope","description":"Automatically scopes all code generation and explanation requests to the currently open document, using the full file content as implicit context for prompts. The extension does not require users to manually specify file context — it's automatically included in every request. This enables context-aware generation without explicit context management, though it limits awareness to single-file scope.","intents":["I want code generation that understands the current file's structure and imports","I need explanations that reference the actual code in my open file","I want AI to be aware of my file's language and conventions"],"best_for":["developers working on single-file features or functions","teams with modular codebases where files are self-contained","developers who want automatic context without manual specification"],"limitations":["Context limited to single file — cannot reference other files in project","Large files may exceed token limits, causing generation to fail or truncate context","No project-wide awareness — cannot understand cross-file dependencies or architecture","Implicit context may be wasteful for simple prompts that don't need full file content","No way to exclude parts of file from context — all content is included"],"requires":["Visual Studio Code with CodeCursor extension","Active document open in editor"],"input_types":["current document content (implicit)","natural language prompt"],"output_types":["context-aware generated code","explanations referencing file content"],"categories":["memory-knowledge","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_2","uri":"capability://code.generation.editing.experimental.project.scaffolding.from.natural.language.specifications","name":"experimental project scaffolding from natural language specifications","description":"Generates entire project directory structures and boilerplate code from natural language descriptions by routing requests to GPT models via Cursor's server. The extension creates files and folders in the current workspace, with warnings if the workspace is non-empty to prevent accidental overwrites. This feature is marked experimental and may have undefined behavior with concurrent generation requests.","intents":["I want to scaffold a new project structure from a description without manual setup","I need to generate boilerplate for a specific project type (e.g., React app, Node server)","I want to create multiple files and folders at once from a single prompt"],"best_for":["solo developers prototyping new projects quickly","teams bootstrapping new microservices or modules","developers unfamiliar with project structure conventions"],"limitations":["Marked as experimental — stability and output quality not guaranteed","Race conditions occur with multiple simultaneous project generation commands — behavior undefined","File system access scope unclear — may overwrite existing files without explicit confirmation","No rollback mechanism — generated files must be manually deleted if generation fails or produces unwanted output","Cannot generate projects larger than Cursor API token limits — complex multi-file projects may fail silently"],"requires":["Visual Studio Code with CodeCursor extension","Open workspace (empty workspace recommended to avoid conflicts)","Active internet connection to Cursor server","Cursor account sign-in OR custom OpenAI API key"],"input_types":["natural language project description","project type specification (implicit from description)"],"output_types":["generated file tree in workspace","multiple source code files","configuration files (package.json, tsconfig.json, etc.)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_3","uri":"capability://tool.use.integration.configurable.ai.model.selection.with.custom.openai.api.key.support","name":"configurable ai model selection with custom openai api key support","description":"Allows users to override the default Cursor server backend by providing custom OpenAI API keys in extension settings, enabling model selection and cost control. The extension routes all requests through the provided API key instead of Cursor's infrastructure, though the connection still flows through Cursor's server as an intermediary rather than direct client-to-OpenAI communication. Configuration is stored in VS Code's extension settings.","intents":["I want to use my own OpenAI API key to control costs and model selection","I need to use a specific GPT model version (e.g., GPT-4 vs GPT-3.5-turbo)","I want to avoid Cursor server dependency for privacy or reliability reasons"],"best_for":["developers with existing OpenAI API accounts and cost budgets","teams requiring specific model versions for consistency","organizations with data privacy requirements"],"limitations":["Custom API keys still routed through Cursor server — not direct client-to-OpenAI connection, adding intermediary latency","API key stored in VS Code settings — security depends on VS Code's credential storage (not encrypted by default)","Model selection UI/UX not documented — unclear how users specify which model to use","No API rate limiting or quota management built into extension — relies on OpenAI account limits","Cursor server may become unstable under heavy traffic — custom API keys don't bypass Cursor infrastructure entirely"],"requires":["Visual Studio Code with CodeCursor extension","Active OpenAI API account with valid API key","Sufficient API credits/quota for intended usage","Knowledge of OpenAI API key format and management"],"input_types":["OpenAI API key string","model name selection (e.g., 'gpt-4', 'gpt-3.5-turbo')"],"output_types":["configuration stored in VS Code settings","API requests routed to specified model"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_4","uri":"capability://code.generation.editing.inline.code.selection.and.context.aware.replacement","name":"inline code selection and context-aware replacement","description":"Enables users to select code snippets in the editor before triggering generation, automatically using the selection as context for code generation prompts. When code is generated, the selected text is replaced with the generated output in a single atomic operation, with the change shown as a diff in the notification panel before acceptance. This allows targeted code modification without affecting surrounding code.","intents":["I want to replace a function with an improved version based on a description","I need to refactor selected code without touching the rest of the file","I want to generate code that builds on existing selected code as context"],"best_for":["developers refactoring specific code sections","teams improving existing code with AI assistance","developers using AI for targeted code optimization"],"limitations":["Selection context limited to highlighted text — cannot infer intent from surrounding code structure","Replacement is atomic but not reversible within extension — requires manual undo or version control","Large selections may exceed token limits, causing generation to fail silently","No syntax validation before replacement — generated code may have syntax errors"],"requires":["Visual Studio Code with CodeCursor extension","Active document with selectable code","Text selection in editor (required to trigger context-aware generation)"],"input_types":["selected code snippet from editor","natural language prompt for modification"],"output_types":["generated code replacement","diff preview in notification","modified document content"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_5","uri":"capability://automation.workflow.status.bar.progress.indication.with.cancellation.controls","name":"status bar progress indication with cancellation controls","description":"Displays real-time progress indicators in VS Code's status bar during code generation and project scaffolding operations, allowing users to cancel in-progress requests by clicking the status bar item. The status bar shows operation type (generating code, creating project) and provides a clickable interface to abort requests or reopen completed results without re-running generation.","intents":["I want to cancel a generation that's taking too long or producing unwanted results","I need to see the status of background AI operations without switching focus","I want to reopen a completed generation result without re-running the prompt"],"best_for":["developers working with slow network connections","teams using expensive API keys who want to abort costly operations","developers who want non-intrusive progress feedback"],"limitations":["Cancellation may not be instantaneous — request may complete before cancellation is processed","Status bar space limited — long operation descriptions may be truncated","No detailed progress metrics (e.g., tokens generated, time elapsed) — only generic status","Reopen functionality scope unclear — may not preserve full generation context"],"requires":["Visual Studio Code with CodeCursor extension","Active code generation or project scaffolding operation"],"input_types":["user click on status bar item"],"output_types":["cancellation signal to Cursor server","reopened generation result in notification"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_6","uri":"capability://tool.use.integration.cursor.server.infrastructure.routing.with.fallback.to.custom.api.keys","name":"cursor server infrastructure routing with fallback to custom api keys","description":"Routes all AI requests through Cursor's managed server infrastructure by default, which handles authentication, rate limiting, and model selection. If the Cursor server becomes unstable or unavailable, users can configure custom OpenAI API keys to bypass Cursor's infrastructure entirely. The extension abstracts away the routing logic, presenting a unified interface regardless of backend selection.","intents":["I want reliable AI code generation without managing API keys myself","I need a fallback when Cursor's servers are experiencing issues","I want to use Cursor's infrastructure but have the option to switch backends"],"best_for":["developers who prefer managed infrastructure over self-managed API keys","teams with Cursor accounts who want VS Code integration","developers who want flexibility to switch backends based on reliability"],"limitations":["Cursor server acts as intermediary even with custom API keys — cannot achieve direct client-to-OpenAI connection","Cursor server stability not guaranteed — heavy traffic may cause degradation","No built-in monitoring or health checks — users must manually detect server issues","Fallback to custom API keys requires manual configuration — no automatic failover","API key security depends on VS Code's credential storage — not encrypted by default"],"requires":["Visual Studio Code with CodeCursor extension","Active internet connection","Cursor account (for default routing) OR custom OpenAI API key (for fallback)"],"input_types":["Cursor account credentials OR OpenAI API key"],"output_types":["routed AI requests to selected backend","responses from Cursor server or OpenAI API"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_7","uri":"capability://automation.workflow.command.palette.integration.for.code.generation.and.project.creation","name":"command palette integration for code generation and project creation","description":"Exposes code generation and project creation features through VS Code's command palette with 'CodeCursor' prefixed commands, allowing keyboard-driven access without sidebar interaction. Users invoke commands like 'CodeCursor: Generate Code' or 'CodeCursor: Generate Project' from the command palette, which opens a prompt input dialog for natural language specifications. This enables rapid feature access for power users and keyboard-first workflows.","intents":["I want to generate code using keyboard shortcuts without touching the mouse","I need quick access to code generation from the command palette","I want to create projects using keyboard-driven workflows"],"best_for":["power users with keyboard-first workflows","developers using VS Code keybindings extensively","teams with accessibility requirements"],"limitations":["Keybindings not documented — users must manually configure or use command palette","Command names not fully documented — unclear what exact commands are available","No command history or favorites — each invocation requires full command name entry","Prompt input dialog may be cumbersome for complex multi-line specifications"],"requires":["Visual Studio Code with CodeCursor extension","Knowledge of command palette access (Ctrl+Shift+P on Windows/Linux, Cmd+Shift+P on macOS)"],"input_types":["command name from palette","natural language prompt in input dialog"],"output_types":["code generation or project creation result","diff preview or file creation"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_8","uri":"capability://text.generation.language.activity.bar.sidebar.panel.for.persistent.chat.and.navigation","name":"activity bar sidebar panel for persistent chat and navigation","description":"Provides a dedicated sidebar panel accessible via the CodeCursor icon in VS Code's activity bar, serving as the primary UI for conversational code explanation and navigation between features. The sidebar maintains chat history within a session and provides quick access to code generation and project creation features without using the command palette. The panel persists across editor focus changes, allowing continuous conversation while coding.","intents":["I want a persistent chat interface for discussing code without losing context","I need quick access to all CodeCursor features from a single sidebar panel","I want to maintain conversation history while switching between files"],"best_for":["developers who prefer GUI-based interaction over command palette","teams using conversational AI for code explanation","developers who want persistent chat history within a session"],"limitations":["Chat history not persisted across sessions — conversation lost when sidebar is closed","Sidebar space limited — complex conversations may require scrolling","No export or save functionality for chat history","Sidebar visibility toggles may accidentally hide chat mid-conversation"],"requires":["Visual Studio Code with CodeCursor extension","VS Code activity bar visible (default configuration)"],"input_types":["natural language chat messages","button clicks for feature access"],"output_types":["chat response text","code generation or project creation triggers"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-ktiays-aicursor__cap_9","uri":"capability://safety.moderation.no.collection.privacy.model.with.claimed.code.confidentiality","name":"no-collection privacy model with claimed code confidentiality","description":"Implements a privacy-first design where the extension explicitly claims NOT to collect user code, environment data, or tracking information. Code sent to Cursor's server or custom OpenAI API is used only for the immediate generation request and not retained for training or analytics. This design choice is documented in the extension's security section, though implementation details of how code is handled server-side remain undocumented.","intents":["I want to use AI code generation without my code being collected for training","I need assurance that proprietary code won't be used for model improvement","I want to use AI tools while maintaining code confidentiality"],"best_for":["enterprises with proprietary code confidentiality requirements","teams handling sensitive or regulated code","developers concerned about AI model training on their code"],"limitations":["No-collection claim is stated but implementation not verifiable — users must trust Cursor's privacy policy","Cursor server acts as intermediary — code visibility to Cursor infrastructure not fully transparent","Custom OpenAI API keys still route through Cursor server — privacy depends on Cursor's data handling","No audit trail or transparency reports — users cannot verify data handling practices","Privacy policy may change — no guarantees of long-term code confidentiality"],"requires":["Trust in Cursor's stated privacy practices","Review of Cursor's privacy policy and terms of service"],"input_types":["user code and prompts"],"output_types":["generated code","no data collection (claimed)"],"categories":["safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":45,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (minimum version unknown, likely 1.60+)","Active internet connection to Cursor server or OpenAI API","Cursor account sign-in OR custom OpenAI API key configured","Active document open in VS Code editor","Visual Studio Code with CodeCursor extension installed","Active internet connection to Cursor server","Cursor account sign-in OR custom OpenAI API key","At least one document open in editor (optional for general questions)","Visual Studio Code with CodeCursor extension","Active document open in editor"],"failure_modes":["Automatic code continuation disabled due to Cursor API limitations — multi-step generation requires manual prompting","Context limited to current file and user selection — cannot access project-wide codebase for informed generation","Cursor server acts as intermediary even with custom OpenAI API keys, adding ~100-200ms latency vs direct API calls","No built-in version control or undo history — accepts are permanent until manual revert","Chat context limited to current file or selection — cannot reference multiple files or project structure","No persistent chat history across sessions — conversation lost when sidebar is closed","Conversation context sent to Cursor server on every message, creating privacy considerations for proprietary code","No ability to reference external documentation or project-specific context automatically","Context limited to single file — cannot reference other files in project","Large files may exceed token limits, causing generation to fail or truncate context","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.62,"quality":0.32,"ecosystem":0.45,"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":"2026-05-03T15:20:32.168Z","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=codecursor-cursor-for-vs-code","compare_url":"https://unfragile.ai/compare?artifact=codecursor-cursor-for-vs-code"}},"signature":"ird/l5G1Y55Hvwaz7ksX6jCyPRkVE6LKkG/Imekc1B9LdvifvZkbMsLEl0aj5Z8Rbtc2Pgi9bFDeg3l3DTXlCg==","signedAt":"2026-06-21T09:51:27.489Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/codecursor-cursor-for-vs-code","artifact":"https://unfragile.ai/codecursor-cursor-for-vs-code","verify":"https://unfragile.ai/api/v1/verify?slug=codecursor-cursor-for-vs-code","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"}}