{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-google-geminicodeassist","slug":"gemini-code-assist","name":"Gemini Code Assist","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=Google.geminicodeassist","page_url":"https://unfragile.ai/gemini-code-assist","categories":["code-editors"],"tags":["__ext_log","AI Assistant","Chat","Code Assist","Code Completion","Code Generation","Duet","Gemini","Google","ignore","keybindings","LLM","Log","Pair Programmer"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-google-geminicodeassist__cap_0","uri":"capability://code.generation.editing.inline.code.completion.with.gemini.context","name":"inline-code-completion-with-gemini-context","description":"Provides real-time code completion suggestions as developers type, powered by Gemini's language understanding of the current file context. The extension monitors keystroke events in VS Code's editor and sends the current file buffer plus cursor position to Gemini's API, receiving completion suggestions that are rendered as inline decorations or autocomplete menu items. Completions are contextualized to the file's language, existing code patterns, and preceding comments.","intents":["I want code suggestions to appear automatically as I type without manually invoking a command","I need completions that understand my project's coding style and patterns","I want to accept or reject suggestions with minimal keyboard interaction"],"best_for":["solo developers building features in supported languages","teams standardizing code patterns across a codebase","developers working in unfamiliar APIs or frameworks"],"limitations":["Completion latency depends on Gemini API response time (typically 500ms-2s); no offline fallback","Context limited to current file; does not analyze multi-file dependencies or imports","Suggestions may not reflect project-specific conventions if not visible in current file","No built-in mechanism to train or fine-tune suggestions on private codebase patterns"],"requires":["VS Code 1.80+ (minimum version unknown; inferred from modern extension APIs)","Active internet connection to reach Gemini API","Google account or API key for Gemini authentication (mechanism unspecified)","Supported language file open in editor (specific language support list unknown)"],"input_types":["source code (current file buffer)","cursor position (line and column)","file language/extension"],"output_types":["text suggestions (inline or autocomplete menu)","multiple ranked alternatives"],"categories":["code-generation-editing","editor-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_1","uri":"capability://code.generation.editing.natural.language.to.code.generation.from.comments","name":"natural-language-to-code-generation-from-comments","description":"Converts natural language comments or descriptions in code into executable code blocks. Developers write a comment describing desired functionality (e.g., '// sort array in descending order'), and Gemini generates the corresponding code implementation. The extension parses the comment, sends it to Gemini with surrounding code context, and inserts the generated code below the comment. This works for functions, loops, API calls, and infrastructure-as-code (gCloud CLI, Terraform, KRM).","intents":["I want to write a comment describing what I need and have the code generated automatically","I need to generate boilerplate code (unit tests, API calls, infrastructure) from a description","I want to generate cloud infrastructure code (gCloud, Terraform) from natural language specifications"],"best_for":["developers prototyping features quickly without writing boilerplate","teams generating infrastructure-as-code from specifications","developers learning new APIs or frameworks by describing intent"],"limitations":["Generated code requires manual review and testing; no automatic validation","Context limited to visible code in editor; cannot reference external libraries or project structure","Accuracy depends on comment clarity; ambiguous descriptions produce unpredictable results","No rollback mechanism if generated code is incorrect; requires manual undo"],"requires":["VS Code 1.80+ (minimum version unknown)","Active internet connection to Gemini API","Google account or API key for authentication","Comment syntax valid for target language"],"input_types":["natural language comment text","surrounding code context","target language (inferred from file extension)"],"output_types":["generated source code (functions, loops, API calls)","infrastructure-as-code (gCloud CLI, Terraform, KRM manifests)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_2","uri":"capability://code.generation.editing.unit.test.generation.from.code","name":"unit-test-generation-from-code","description":"Automatically generates unit test cases for functions or code blocks by analyzing the source code and inferring test scenarios. Developers select a function or class, invoke the test generation command, and Gemini produces test cases covering common paths, edge cases, and error conditions. Generated tests are formatted in the project's test framework (Jest, pytest, JUnit, etc., framework detection mechanism unknown). Tests are inserted into the editor or a new test file.","intents":["I want to generate test cases for a function without writing them manually","I need to ensure my code has reasonable test coverage quickly","I want test cases that cover edge cases and error paths I might miss"],"best_for":["developers writing tests for legacy code without existing coverage","teams accelerating test-driven development workflows","developers learning testing patterns for unfamiliar frameworks"],"limitations":["Generated tests may not align with project's testing conventions or assertion styles","Cannot infer business logic requirements; tests cover syntactic paths, not semantic correctness","Test framework detection is automatic; may generate tests in wrong framework if project uses multiple","No integration with test runners; generated tests must be manually executed and debugged"],"requires":["VS Code 1.80+","Active internet connection to Gemini API","Google account or API key","Source code file with functions/classes to test"],"input_types":["source code (function or class definition)","file language (inferred from extension)","project context (test framework detection unknown)"],"output_types":["test code (Jest, pytest, JUnit, etc.)","test cases with assertions"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_3","uri":"capability://code.generation.editing.interactive.code.debugging.assistance","name":"interactive-code-debugging-assistance","description":"Provides debugging guidance through a chat interface by analyzing code, error messages, and stack traces. Developers describe a bug or paste an error, and Gemini suggests root causes, debugging steps, and fixes. The extension can access the current file context and potentially error output from the editor's debug console (integration mechanism unknown). Suggestions include breakpoint placement, variable inspection, and code modifications to resolve the issue.","intents":["I have an error message and want suggestions on what might be wrong","I want to understand why my code is behaving unexpectedly","I need help identifying where to place breakpoints or what to inspect"],"best_for":["developers debugging unfamiliar code or frameworks","teams reducing time spent on common debugging patterns","junior developers learning debugging techniques"],"limitations":["Suggestions are heuristic-based; may not identify actual root cause without full execution context","Cannot directly access runtime state (variable values, memory, call stack) unless manually provided","No integration with VS Code's debugger; cannot set breakpoints or inspect variables programmatically","Requires accurate error description; incomplete or vague error reports produce low-quality suggestions"],"requires":["VS Code 1.80+","Active internet connection","Google account or API key","Error message or code snippet to analyze"],"input_types":["error message or stack trace","source code snippet","natural language description of unexpected behavior","current file context"],"output_types":["debugging suggestions (text)","proposed code fixes","debugging steps or breakpoint recommendations"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_4","uri":"capability://code.generation.editing.code.review.and.best.practices.guidance","name":"code-review-and-best-practices-guidance","description":"Analyzes code for quality issues, style violations, and best practices, providing suggestions for improvement. Developers can request a review of the current file or selection, and Gemini identifies potential bugs, performance issues, security concerns, and style inconsistencies. Suggestions include refactoring recommendations, design pattern improvements, and alignment with language-specific best practices. Integration with GitHub is mentioned separately but not detailed.","intents":["I want an automated code review before submitting a pull request","I need suggestions on how to improve code quality and maintainability","I want to identify potential bugs or security issues in my code"],"best_for":["teams without dedicated code review resources","developers learning best practices for a language or framework","projects seeking to maintain consistent code quality standards"],"limitations":["Reviews are based on static analysis; cannot identify runtime bugs or performance issues","No understanding of project-specific coding standards unless explicitly provided","Cannot access full codebase context; may miss architectural or dependency-related issues","Suggestions are advisory; no enforcement mechanism or integration with CI/CD pipelines"],"requires":["VS Code 1.80+","Active internet connection","Google account or API key","Source code file or selection to review"],"input_types":["source code (file or selection)","file language","project context (optional, mechanism unknown)"],"output_types":["review comments (text)","suggested refactorings","best practices recommendations"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_5","uri":"capability://text.generation.language.natural.language.chat.for.code.questions","name":"natural-language-chat-for-code-questions","description":"Provides a conversational interface for asking questions about code, APIs, cloud services, and development practices. Developers open a chat panel (sidebar or webview, UI location unknown) and ask questions in natural language. Gemini responds with explanations, code examples, documentation links, and guidance. The chat maintains conversation context across multiple turns, allowing follow-up questions. Questions can reference the current file or be general development inquiries.","intents":["I want to ask questions about how to use an API or library","I need explanations of code concepts or design patterns","I want guidance on cloud service configuration or best practices"],"best_for":["developers learning new technologies or frameworks","teams seeking quick answers without leaving the editor","developers working with Google Cloud services"],"limitations":["Chat history is not persisted across sessions (persistence mechanism unknown; may be lost on extension reload)","Responses are generated in real-time; no caching or offline access","Context limited to current file and conversation history; cannot reference external documentation automatically","No source attribution for code examples (though documentation citations are mentioned as a feature)"],"requires":["VS Code 1.80+","Active internet connection","Google account or API key","Chat panel visible in VS Code UI"],"input_types":["natural language questions","current file context (optional)","conversation history"],"output_types":["natural language responses","code examples","documentation references"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_6","uri":"capability://text.generation.language.cloud.api.and.documentation.guidance","name":"cloud-api-and-documentation-guidance","description":"Provides contextual guidance on Google Cloud APIs, services, and best practices through the chat interface and inline suggestions. Developers can ask questions about cloud service configuration, API usage, authentication, and deployment patterns. Gemini responds with code examples, CLI commands, and configuration snippets. The extension is positioned as a companion for cloud development workflows, with integration into Firebase, Google Cloud Databases, BigQuery, and Apigee (though this analysis focuses on VS Code variant).","intents":["I want to understand how to use a Google Cloud API in my code","I need help configuring cloud services or writing infrastructure-as-code","I want examples of authentication, error handling, and best practices for cloud services"],"best_for":["developers building on Google Cloud Platform","teams migrating applications to cloud services","developers learning cloud-native development patterns"],"limitations":["Guidance is specific to Google Cloud; limited support for other cloud providers","API examples may not reflect latest service versions or deprecations","No integration with actual cloud service APIs; cannot validate configurations or test deployments","Requires manual implementation of suggested configurations"],"requires":["VS Code 1.80+","Active internet connection","Google account or API key","Google Cloud project (optional, for context)"],"input_types":["natural language questions about cloud services","current file context (optional)","cloud service names or API references"],"output_types":["code examples (Python, Node.js, Go, Java, etc.)","gCloud CLI commands","configuration snippets (YAML, JSON)","best practices explanations"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_7","uri":"capability://memory.knowledge.source.attribution.for.generated.code","name":"source-attribution-for-generated-code","description":"Provides citations and source references for code examples and documentation used in generated suggestions. When Gemini generates code or provides guidance, the extension includes links or references to the original documentation, API docs, or code samples. This helps developers verify the accuracy of suggestions and understand the source of recommendations. Attribution mechanism (inline links, footnotes, separate panel) is not specified.","intents":["I want to verify that generated code examples are accurate and from official sources","I need to understand where suggestions come from to evaluate their reliability","I want to access original documentation for deeper learning"],"best_for":["developers requiring code provenance for compliance or security","teams evaluating AI-generated code for production use","developers learning from official sources rather than unofficial examples"],"limitations":["Attribution is provided by Gemini; accuracy depends on training data and knowledge cutoff","Links may become stale if documentation is reorganized or deprecated","No guarantee that cited sources are the most current or authoritative","Attribution mechanism is not customizable; developers cannot specify preferred sources"],"requires":["VS Code 1.80+","Active internet connection","Google account or API key"],"input_types":["generated code or suggestions from Gemini"],"output_types":["documentation links","source references","citations (format unknown)"],"categories":["memory-knowledge","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_8","uri":"capability://code.generation.editing.multi.language.code.generation","name":"multi-language-code-generation","description":"Supports code generation and completion across multiple programming languages and frameworks. The extension detects the file language from the extension and generates code in the appropriate syntax. Supported languages include Python, JavaScript/TypeScript, Java, Go, C++, C#, and others (complete list unknown). The same chat and generation features work across all supported languages, with language-specific best practices applied.","intents":["I want code completion and generation to work in my preferred programming language","I need to generate code in multiple languages for a polyglot project","I want language-specific best practices applied to generated code"],"best_for":["polyglot teams working across multiple languages","developers switching between languages frequently","projects with language-specific requirements"],"limitations":["Language support list is not documented; some languages may have limited or no support","Code generation quality varies by language; less common languages may produce lower-quality suggestions","No explicit language selection mechanism; relies on file extension detection","Best practices are generic; project-specific conventions may not be reflected"],"requires":["VS Code 1.80+","Active internet connection","Google account or API key","File with recognized language extension"],"input_types":["source code in any supported language","file extension (language detection)"],"output_types":["code in the same language as input","language-specific syntax and idioms"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-google-geminicodeassist__cap_9","uri":"capability://code.generation.editing.context.aware.code.suggestions.with.file.scope","name":"context-aware-code-suggestions-with-file-scope","description":"Generates suggestions that are aware of the current file's context, including existing code patterns, variable names, function signatures, and imports. When providing completions or generating code, Gemini considers the surrounding code to ensure suggestions align with the file's style and structure. This includes understanding the file's language, frameworks in use (inferred from imports), and coding conventions visible in the file.","intents":["I want suggestions that match my code's style and patterns","I need completions that understand the frameworks and libraries I'm using","I want generated code to use consistent naming and structure with existing code"],"best_for":["teams maintaining consistent code style across projects","developers working in unfamiliar codebases","projects with strong style conventions"],"limitations":["Context limited to current file; cannot analyze multi-file patterns or project-wide conventions","No access to project configuration files (eslint, prettier, etc.) to infer style rules","Style inference is heuristic-based; may miss subtle conventions","No mechanism to explicitly specify style preferences or coding standards"],"requires":["VS Code 1.80+","Active internet connection","Google account or API key","File with sufficient context (imports, existing code)"],"input_types":["current file content","cursor position","file language and imports"],"output_types":["context-aware code suggestions","completions matching file style"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":51,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.80+ (minimum version unknown; inferred from modern extension APIs)","Active internet connection to reach Gemini API","Google account or API key for Gemini authentication (mechanism unspecified)","Supported language file open in editor (specific language support list unknown)","VS Code 1.80+ (minimum version unknown)","Active internet connection to Gemini API","Google account or API key for authentication","Comment syntax valid for target language","VS Code 1.80+","Google account or API key"],"failure_modes":["Completion latency depends on Gemini API response time (typically 500ms-2s); no offline fallback","Context limited to current file; does not analyze multi-file dependencies or imports","Suggestions may not reflect project-specific conventions if not visible in current file","No built-in mechanism to train or fine-tune suggestions on private codebase patterns","Generated code requires manual review and testing; no automatic validation","Context limited to visible code in editor; cannot reference external libraries or project structure","Accuracy depends on comment clarity; ambiguous descriptions produce unpredictable results","No rollback mechanism if generated code is incorrect; requires manual undo","Generated tests may not align with project's testing conventions or assertion styles","Cannot infer business logic requirements; tests cover syntactic paths, not semantic correctness","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.92,"quality":0.3,"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":"2026-05-03T15:20:29.937Z","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=gemini-code-assist","compare_url":"https://unfragile.ai/compare?artifact=gemini-code-assist"}},"signature":"gvFuo27nwFXiZPa8+JDfVjik8hpBy+3U3o68gNtcfHsO/myCaVPzFEBs+SGwMDH0Ai1G3tY67L+rN/pTZPszDw==","signedAt":"2026-07-08T07:53:49.020Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/gemini-code-assist","artifact":"https://unfragile.ai/gemini-code-assist","verify":"https://unfragile.ai/api/v1/verify?slug=gemini-code-assist","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"}}