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The extension integrates with VS Code's IntelliSense API to inject AI-generated completions alongside native language server suggestions, leveraging the Continue framework's context extraction to understand project structure and coding patterns without requiring explicit configuration.","intents":["I want code suggestions to appear as I type, understanding my project's patterns and conventions","I need faster code writing with AI that knows my codebase structure","I want completions that respect my project's existing code style and dependencies"],"best_for":["Individual developers working in VS Code who want seamless inline assistance","Teams using consistent coding patterns across projects","Developers in Russia or regions with VPN restrictions (works without VPN)"],"limitations":["Context scope boundaries are undocumented — unclear how much of the project is analyzed per completion request","No explicit control over context window size or which files are included in analysis","Real-time performance impact during typing not documented — potential latency on large projects","Completion triggers automatically during typing; no documented way to disable auto-trigger"],"requires":["Visual Studio Code (minimum version unknown)","Active internet connection (for API calls to AI models)","API key or authentication for underlying AI model provider (configuration method unknown)"],"input_types":["source code (current file)","project structure metadata","typing context (partial line being written)"],"output_types":["code suggestions (single or multiple completions)","inline IntelliSense entries"],"categories":["code-generation-editing","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-koda-koda__cap_1","uri":"capability://text.generation.language.conversational.code.assistant.with.project.context.retrieval","name":"conversational code assistant with project context retrieval","description":"Provides a sidebar chat interface where developers can ask questions about their code, request explanations, and discuss implementation approaches. The chat mode claims to understand project context by analyzing files and structure, enabling multi-turn conversations where the AI maintains awareness of the codebase across multiple exchanges without requiring explicit file references in each message.","intents":["I want to ask questions about my code and get explanations that understand my project structure","I need to discuss implementation approaches with an AI that knows my codebase context","I want to refactor code by describing intent and having the AI suggest changes based on project patterns"],"best_for":["Developers who prefer conversational interaction over inline suggestions","Teams needing code review discussions and architectural guidance","Developers learning unfamiliar codebases who need contextual explanations"],"limitations":["Project context extraction method is undocumented — unclear which files are analyzed or how context is prioritized","No documented limit on conversation history or context window size","Chat interface implementation details unknown — unclear if context persists across VS Code sessions","No explicit control over which project files are included in context analysis","Conversation history management and privacy handling not documented"],"requires":["Visual Studio Code (minimum version unknown)","Active internet connection for API calls","API key or authentication for underlying AI model (configuration method unknown)","Project workspace open in VS Code"],"input_types":["natural language questions","code snippets (optional, user-pasted)","project context (automatically extracted)"],"output_types":["natural language responses","code suggestions and examples","explanations and documentation"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-koda-koda__cap_2","uri":"capability://search.retrieval.rag.based.documentation.search.and.retrieval","name":"rag-based documentation search and retrieval","description":"Enables searching and retrieving relevant documentation from external sources and user-provided data using retrieval-augmented generation (RAG). The retrieval mode allows developers to load custom data sources (format and limits unknown) and query them with natural language, with the AI augmenting responses by combining retrieved documents with its knowledge to provide contextually relevant answers.","intents":["I want to search my project's documentation or internal knowledge base using natural language","I need to load custom API documentation or library references and query them with AI assistance","I want to retrieve relevant information from my data sources without manually browsing documents"],"best_for":["Teams with large internal documentation or knowledge bases","Developers working with proprietary libraries or frameworks requiring custom documentation","Organizations needing to augment AI responses with company-specific information"],"limitations":["Data source formats and supported file types are undocumented","No documented limits on data source size or number of documents","Data loading mechanism and configuration process are unknown","Retrieval accuracy and ranking algorithm not documented","No information on data privacy or where user data is stored during retrieval","Integration with external documentation sources (if supported) is undocumented"],"requires":["Visual Studio Code (minimum version unknown)","Active internet connection","API key or authentication for underlying AI model","User-provided data sources in unknown format(s)","Configuration method for loading data sources (unknown)"],"input_types":["natural language queries","user-provided documents or data sources (format unknown)","external documentation URLs (if supported)"],"output_types":["retrieved document excerpts","AI-augmented responses combining retrieval with generation","source citations (if implemented)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-koda-koda__cap_3","uri":"capability://planning.reasoning.multi.step.task.decomposition.and.agent.based.automation","name":"multi-step task decomposition and agent-based automation","description":"Provides an agent mode that breaks down complex development tasks into subtasks and executes them in sequence with minimal user intervention. The agent analyzes task intent, decomposes it into actionable steps, and orchestrates execution across multiple operations (code generation, file modifications, command execution scope unknown) while maintaining context across steps.","intents":["I want to describe a complex task and have the AI break it down and execute it automatically","I need to automate multi-step workflows like scaffolding, refactoring, or setup without manual intervention","I want the AI to handle task decomposition and coordinate between different code generation and modification steps"],"best_for":["Developers automating repetitive multi-step workflows","Teams scaffolding new projects or components with consistent patterns","Developers who prefer describing intent over manual step-by-step execution"],"limitations":["Task execution scope is undocumented — unclear what operations the agent can perform (file system access, terminal execution, etc.)","No documented safety guardrails or approval mechanisms before executing modifications","Agent decision-making process and error handling strategy are unknown","Rollback or undo mechanisms for failed agent executions not documented","No explicit limits on task complexity or number of subtasks","Interaction model during execution (interactive vs. fully autonomous) is undocumented"],"requires":["Visual Studio Code (minimum version unknown)","Active internet connection","API key or authentication for underlying AI model","Project workspace with write permissions (for file modifications)","Potential terminal/shell access (if agent can execute commands — undocumented)"],"input_types":["natural language task descriptions","project context (automatically extracted)","optional constraints or requirements (format unknown)"],"output_types":["modified source files","generated code artifacts","execution logs or summaries (format unknown)","potential terminal output (if command execution is supported)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-koda-koda__cap_4","uri":"capability://tool.use.integration.multi.model.support.with.configurable.ai.provider.selection","name":"multi-model support with configurable ai provider selection","description":"Supports multiple AI model providers and models (specific providers and models unknown) with the ability to switch between them for different tasks. The extension abstracts model selection through a configuration layer, allowing developers to choose which AI provider powers each capability (completion, chat, retrieval, agent) based on cost, latency, or capability preferences.","intents":["I want to use different AI models for different tasks based on cost or capability","I need to switch between Claude, GPT, Mistral, or other models depending on the task","I want to configure which model powers code completion vs. chat vs. agent tasks"],"best_for":["Developers with accounts across multiple AI providers (OpenAI, Anthropic, Mistral, etc.)","Teams optimizing for cost by using cheaper models for simple tasks and premium models for complex ones","Organizations with specific model preferences or compliance requirements"],"limitations":["Supported model providers are not explicitly documented (tags reference ChatGPT, Claude, Codestral, Llama, Mistral, but support is unverified)","Model selection configuration method is unknown","No documented way to set model preferences per capability (completion vs. chat vs. agent)","API key management for multiple providers not documented","Model-specific limitations (context window, rate limits) not documented","Fallback behavior if primary model is unavailable is unknown","Cost tracking or usage monitoring across models not mentioned"],"requires":["Visual Studio Code (minimum version unknown)","API keys for at least one supported AI model provider","Active internet connection","Configuration file or settings UI (method unknown)"],"input_types":["model provider selection (configuration)","API credentials for selected providers"],"output_types":["model-specific responses (format depends on selected model)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-koda-koda__cap_5","uri":"capability://text.generation.language.russian.and.english.language.support.with.region.optimized.connectivity","name":"russian and english language support with region-optimized connectivity","description":"Provides native support for Russian and English languages across all capabilities (completion, chat, retrieval, agent) with region-specific optimization for Russian developers. The extension works without requiring VPN in Russia and other regions with network restrictions, suggesting custom routing or API endpoint configuration that bypasses standard internet access patterns.","intents":["I'm a Russian developer and want AI assistance that works without VPN","I need code suggestions and chat responses in Russian language","I want to use Koda in regions with network restrictions without additional configuration"],"best_for":["Russian-speaking developers in Russia or regions with network restrictions","International teams with Russian developers","Organizations requiring no-VPN solutions for compliance or security reasons"],"limitations":["Language support is limited to Russian and English only (no other languages documented)","Region-specific connectivity mechanism is undocumented (unclear how VPN-free access is achieved)","No documented language detection or switching mechanism","Unclear if language preference is per-user or per-workspace","Translation quality or language-specific model selection not documented","No information on whether region optimization applies to all capabilities equally"],"requires":["Visual Studio Code (minimum version unknown)","Internet connection (works without VPN in Russia)","No additional VPN or proxy configuration needed (in supported regions)"],"input_types":["code in any language","natural language input in Russian or English"],"output_types":["responses in Russian or English (language selection method unknown)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-koda-koda__cap_6","uri":"capability://tool.use.integration.continue.framework.integration.with.extensible.architecture","name":"continue framework integration with extensible architecture","description":"Built on the open-source Continue framework, inheriting its modular architecture for context extraction, model abstraction, and capability orchestration. This foundation allows Koda to leverage Continue's ecosystem of integrations, context providers, and model adapters while adding region-specific customizations and UI enhancements for VS Code.","intents":["I want to extend Koda with custom context providers or model integrations","I need to understand how Koda's capabilities are built and potentially customize them","I want to leverage Continue framework's ecosystem within VS Code"],"best_for":["Developers familiar with Continue framework who want to extend Koda","Teams building custom AI integrations on top of Continue","Organizations wanting to understand Koda's underlying architecture"],"limitations":["Continue framework documentation and extension points are external to Koda (requires separate Continue knowledge)","Koda-specific customizations or divergences from Continue are undocumented","No documented Koda-specific extension API or plugin system","Unclear which Continue features are exposed vs. hidden in Koda","Custom context providers or model adapters for Koda not documented","Maintenance and update relationship between Koda and Continue framework unknown"],"requires":["Visual Studio Code (minimum version unknown)","Understanding of Continue framework architecture (external documentation required)","Potential development environment for extending Continue (Node.js, TypeScript — assumed but undocumented)"],"input_types":["Continue framework context providers","Model adapter configurations"],"output_types":["extended capabilities integrated into Koda"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-koda-koda__cap_7","uri":"capability://tool.use.integration.freemium.pricing.model.with.undocumented.tier.differentiation","name":"freemium pricing model with undocumented tier differentiation","description":"Operates on a freemium pricing model where some features or usage levels are free while others require payment. The specific features included in free vs. paid tiers, usage limits, pricing structure, and upgrade paths are entirely undocumented, requiring users to discover pricing details through the extension marketplace or in-app prompts.","intents":["I want to try Koda for free before committing to a paid plan","I need to understand what features are available at different price points","I want to know the cost of using Koda for my team or organization"],"best_for":["Individual developers evaluating Koda before purchase","Teams with budget constraints wanting to start free","Organizations comparing cost-benefit of Koda vs. alternatives"],"limitations":["Free tier features and limits are completely undocumented","Paid tier pricing, features, and upgrade process are unknown","No information on per-user vs. per-organization pricing","Usage limits (requests per day, tokens per month, etc.) not documented","Trial period duration (if any) is unknown","Billing and payment method information not available","No documented cost comparison with alternatives (Copilot, ChatGPT Plus, etc.)","Refund or cancellation policies not mentioned"],"requires":["Visual Studio Code (minimum version unknown)","Account creation (method and requirements unknown)","Payment method for paid tier (if applicable)"],"input_types":["account information","payment details (for paid tier)"],"output_types":["access to Koda features based on tier"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (minimum version unknown)","Active internet connection (for API calls to AI models)","API key or authentication for underlying AI model provider (configuration method unknown)","Active internet connection for API calls","API key or authentication for underlying AI model (configuration method unknown)","Project workspace open in VS Code","Active internet connection","API key or authentication for underlying AI model","User-provided data sources in unknown format(s)","Configuration method for loading data sources (unknown)"],"failure_modes":["Context scope boundaries are undocumented — unclear how much of the project is analyzed per completion request","No explicit control over context window size or which files are included in analysis","Real-time performance impact during typing not documented — potential latency on large projects","Completion triggers automatically during typing; no documented way to disable auto-trigger","Project context extraction method is undocumented — unclear which files are analyzed or how context is prioritized","No documented limit on conversation history or context window size","Chat interface implementation details unknown — unclear if context persists across VS Code sessions","No explicit control over which project files are included in context analysis","Conversation history management and privacy handling not documented","Data source formats and supported file types are undocumented","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.49,"quality":0.26,"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=koda","compare_url":"https://unfragile.ai/compare?artifact=koda"}},"signature":"hQKHxqmJjKagVXr1MJbvGiXW/ZQ0v3Sacw1jHLdPB8pVsR71EVYFc2+YT2GQPY+Yrb1HFry6NC7pcd5E0fPLBw==","signedAt":"2026-06-20T16:06:46.891Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/koda","artifact":"https://unfragile.ai/koda","verify":"https://unfragile.ai/api/v1/verify?slug=koda","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"}}