{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-astalwick-codegenie","slug":"codegenie-gpt4","name":"CodeGenie GPT4","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=astalwick.codegenie","page_url":"https://unfragile.ai/codegenie-gpt4","categories":["code-editors"],"tags":["ai","artificial intelligence","chatgpt","code generation","copilot","debugging","gpt3","gpt4","openai","unit testing"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-astalwick-codegenie__cap_0","uri":"capability://code.generation.editing.selection.context.code.generation.with.chat.interface","name":"selection-context code generation with chat interface","description":"Generates code snippets by accepting free-form natural language queries paired with user-selected code context from the active VS Code editor. The extension captures selected code via explicit UI button (`>`) into a sidebar chat panel, sends the query + code context to OpenAI's API (GPT-3.5/4/4-turbo), and returns generated code that can be inserted back into the editor via a reverse button (`<`). This bidirectional code transfer pattern eliminates context-switching between editor and external chat tools.","intents":["I want to ask ChatGPT a coding question without leaving my editor and get code back into my file","I need to generate a function variant based on existing code I've selected","I want to quickly prototype a solution by describing what I need and seeing code suggestions"],"best_for":["solo developers using VS Code who want to avoid tab-switching to chat.openai.com","teams prototyping features rapidly without leaving their IDE","developers new to a codebase who need quick explanations + code generation"],"limitations":["Only selected code is sent as context — no automatic project-wide or multi-file context awareness","No codebase indexing or semantic understanding of project structure; each query is stateless relative to the full codebase","Context window limited by OpenAI model (GPT-3.5: 4k, GPT-4: 8k, GPT-4-turbo: 128k tokens); large selections may be truncated","No local caching of generated code — each regeneration requires a new API call and incurs OpenAI costs"],"requires":["VS Code (minimum version unknown, likely 1.60+)","OpenAI API key with active billing account","Internet connectivity to reach OpenAI API endpoints","Selected code in active editor (explicit user action required)"],"input_types":["text (natural language query)","code (selected text from editor)"],"output_types":["text (generated code snippet)","text (explanation or commentary)"],"categories":["code-generation-editing","editor-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_1","uri":"capability://code.generation.editing.structured.code.refactoring.with.model.selection","name":"structured code refactoring with model selection","description":"Provides a dedicated refactoring action that wraps selected code with a structured refactoring prompt template, sends it to the chosen OpenAI model (GPT-3.5/4/4-turbo), and returns refactored code. Users can regenerate the same refactoring request using different models without re-entering the prompt, enabling quick comparison of model outputs for quality or cost trade-offs.","intents":["I want to refactor a function to be more readable or efficient without manually rewriting it","I need to compare how GPT-3.5 vs GPT-4 refactor the same code to decide which model to use","I want to apply a consistent refactoring pattern (e.g., extract method, simplify logic) to selected code"],"best_for":["developers maintaining legacy code who want AI-assisted refactoring suggestions","teams evaluating OpenAI model trade-offs (cost vs quality) for code generation tasks","developers learning refactoring patterns by seeing AI-generated alternatives"],"limitations":["Refactoring prompt is not customizable per-request — only the system prompt can be configured globally","No validation that refactored code is syntactically correct or semantically equivalent to original","No diff view or side-by-side comparison of original vs refactored code built-in","Model selection is per-request, not persistent — must re-select model for each regeneration"],"requires":["VS Code extension installed and API key configured","Selected code in active editor (typically 10-500 lines for meaningful refactoring)","OpenAI API key with sufficient quota for multiple model calls"],"input_types":["code (selected text from editor)"],"output_types":["code (refactored snippet)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_10","uri":"capability://code.generation.editing.unit.test.generation.from.code.selection","name":"unit test generation from code selection","description":"Generates unit test code by sending selected code to OpenAI with a test-generation prompt template, returning test cases that cover common scenarios, edge cases, and error conditions. Tests are returned in the chat panel and can be inserted into the editor, supporting multiple testing frameworks (Jest, pytest, unittest, etc.) based on language detection.","intents":["I want to generate unit tests for a function without writing them manually","I need to ensure my code has adequate test coverage before committing","I want to generate edge case tests that I might have missed"],"best_for":["developers practicing test-driven development who want AI assistance with test generation","teams with strict test coverage requirements who need to generate tests quickly","developers learning testing patterns by seeing AI-generated test examples"],"limitations":["Generated tests may not cover all edge cases or error conditions relevant to the code","No validation that tests actually pass against the code — tests may be syntactically correct but logically wrong","No integration with test runners — tests must be manually copied and executed","Test framework is inferred from language but not configurable — may generate tests in the wrong framework","No mocking or fixture generation — tests may require manual setup for external dependencies"],"requires":["VS Code extension installed and API key configured","Selected code in active editor (typically a single function or class method)"],"input_types":["code (selected text from editor)"],"output_types":["code (test cases in the detected testing framework)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_2","uri":"capability://code.generation.editing.inline.code.documentation.generation","name":"inline code documentation generation","description":"Generates inline comments and docstrings for selected code by sending it to OpenAI with a documentation-focused prompt template. The extension returns formatted comments (JSDoc, Python docstrings, etc.) that can be inserted back into the editor, automating the creation of code documentation without manual writing.","intents":["I want to add docstrings to a function I just wrote without manually documenting it","I need to generate inline comments explaining complex logic in legacy code","I want to ensure my code has consistent documentation style across the project"],"best_for":["developers working on codebases with strict documentation requirements","teams onboarding new developers who need well-documented code","maintainers of open-source projects needing to document existing code quickly"],"limitations":["Documentation style is not language-aware — no automatic detection of JSDoc vs Sphinx vs Google-style docstrings","No validation that generated documentation is accurate or complete relative to code behavior","Cannot infer parameter types or return types from code alone — relies on OpenAI's inference, which may be incorrect for dynamic languages","No integration with linters or documentation checkers to validate generated comments"],"requires":["VS Code extension installed and API key configured","Selected code in active editor"],"input_types":["code (selected text from editor)"],"output_types":["text (formatted comments/docstrings)"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_3","uri":"capability://code.generation.editing.code.review.and.issue.detection","name":"code review and issue detection","description":"Analyzes selected code by sending it to OpenAI with a code review prompt template, returning a list of potential issues, anti-patterns, security concerns, or performance problems. The extension presents findings in the chat panel without modifying the code, allowing developers to review suggestions and decide which to act on.","intents":["I want to get a second opinion on code I just wrote before committing it","I need to identify potential bugs or security issues in a function","I want to check if my code follows best practices for the language/framework"],"best_for":["developers practicing code review workflows without a peer reviewer available","teams using AI as a first-pass code quality gate before human review","developers learning best practices by seeing AI-identified issues and explanations"],"limitations":["No integration with linters or static analysis tools — findings are LLM-based and may miss syntax errors or type issues","Cannot understand project-specific conventions or style guides — reviews are generic to the language","No severity ranking or prioritization of issues — all findings presented equally","False positives possible — LLM may flag code as problematic when it is intentional or correct","No tracking of which issues have been addressed or ignored across sessions"],"requires":["VS Code extension installed and API key configured","Selected code in active editor (typically 5-100 lines for meaningful review)"],"input_types":["code (selected text from editor)"],"output_types":["text (list of issues, explanations, and suggestions)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_4","uri":"capability://text.generation.language.code.explanation.and.learning","name":"code explanation and learning","description":"Generates natural language explanations of selected code by sending it to OpenAI with an explanation-focused prompt, returning a detailed breakdown of what the code does, how it works, and why it might be written that way. Explanations are presented in the chat panel and can be refined through follow-up questions.","intents":["I want to understand what a function does without reading through all the logic","I need to explain code to a junior developer or non-technical stakeholder","I'm reading unfamiliar code and want a quick summary of its purpose and behavior"],"best_for":["developers onboarding to new codebases who need quick code walkthroughs","teams documenting legacy code without original authors available","educators teaching programming by having students ask CodeGenie to explain examples"],"limitations":["Explanations are LLM-generated and may be inaccurate or incomplete for complex logic","No interactive debugging or step-through execution — explanations are static text","Cannot explain code intent or business logic beyond what is visible in the selected code","No integration with language-specific documentation or API references"],"requires":["VS Code extension installed and API key configured","Selected code in active editor"],"input_types":["code (selected text from editor)"],"output_types":["text (natural language explanation)"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_5","uri":"capability://code.generation.editing.multi.model.code.generation.with.per.request.model.selection","name":"multi-model code generation with per-request model selection","description":"Allows users to select from GPT-3.5, GPT-4, or GPT-4-turbo (128k context) on a per-request basis and regenerate responses using different models without re-entering the prompt. The extension maintains the chat history and prompt context, enabling quick comparison of model outputs for the same query. Model selection is configurable via UI or command palette.","intents":["I want to compare how different GPT models solve the same coding problem","I need to use GPT-4 for complex tasks but GPT-3.5 for simple ones to manage API costs","I want to regenerate a response using a more capable model if the first attempt was unsatisfactory"],"best_for":["developers optimizing API costs by choosing models per-task","teams evaluating model quality trade-offs for their specific use cases","researchers comparing LLM outputs for code generation tasks"],"limitations":["Model selection is per-request, not persistent — must re-select for each new query","No cost estimation or token counting displayed before sending requests","No automatic fallback if a model is unavailable or rate-limited","Switching models mid-conversation does not re-process previous messages — only new requests use the selected model"],"requires":["VS Code extension installed and API key configured","OpenAI API access to all selected models (GPT-3.5, GPT-4, GPT-4-turbo require different API tiers)"],"input_types":["text (natural language query)","code (optional selected context)"],"output_types":["text (generated code or explanation)"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_6","uri":"capability://memory.knowledge.persistent.chat.history.with.session.management","name":"persistent chat history with session management","description":"Maintains chat history on disk between VS Code sessions, allowing users to switch between previous conversations and resume context without losing chat state. Chat messages can be deleted individually (added in February 10 update), and the extension loads chat history on startup, enabling long-term conversation continuity.","intents":["I want to resume a coding conversation from yesterday without re-explaining the context","I need to keep a record of code generation requests and responses for reference","I want to clean up old chat messages while preserving recent ones"],"best_for":["developers working on long-running projects who need conversation continuity","teams using CodeGenie as a knowledge base for past coding decisions","developers who want to audit their AI-assisted code generation history"],"limitations":["Chat history is stored locally on disk — no cloud sync or backup across devices","No search or filtering of chat history — must manually scroll to find past conversations","No export functionality for chat history (e.g., to Markdown, JSON, or PDF)","Deleting individual messages does not re-process the conversation context — subsequent messages may reference deleted context","No privacy controls — chat history includes all code and queries sent to OpenAI"],"requires":["VS Code extension installed","Local disk space for chat history storage (typically <10MB for 1000+ messages)"],"input_types":["text (chat messages)","code (code snippets in chat)"],"output_types":["text (chat history display)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_7","uri":"capability://code.generation.editing.configurable.system.prompts.and.prompt.templates","name":"configurable system prompts and prompt templates","description":"Allows users to customize the system prompt and action-specific prompts (refactoring, documentation, code review, explanation) via VS Code settings, enabling adaptation of CodeGenie's behavior to project-specific conventions, coding standards, or domain-specific requirements. Changes take effect immediately without restarting the extension.","intents":["I want CodeGenie to follow my team's coding standards and naming conventions","I need to customize the refactoring prompt to prefer functional programming patterns","I want to add domain-specific context (e.g., 'always use async/await, never callbacks') to all code generation"],"best_for":["teams with strict coding standards who want AI assistance aligned with their conventions","developers working in specialized domains (e.g., embedded systems, data science) who need domain-aware prompts","organizations wanting to enforce security or compliance requirements in AI-generated code"],"limitations":["Prompt customization requires manual editing of VS Code settings JSON — no UI for prompt builder","No validation that custom prompts are effective or well-formed — poor prompts may produce poor outputs","No version control or rollback for prompt changes — changes are immediate and not tracked","No sharing of custom prompts across team members — each developer must configure independently","Specific customizable prompts are not enumerated in documentation — users must discover which prompts can be customized"],"requires":["VS Code extension installed","Access to VS Code settings (settings.json or UI)","Understanding of prompt engineering to write effective custom prompts"],"input_types":["text (custom prompt templates)"],"output_types":["text (modified behavior of code generation actions)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_8","uri":"capability://safety.moderation.secure.api.key.management.with.vs.code.secret.storage","name":"secure api key management with vs code secret storage","description":"Stores OpenAI API keys in VS Code's built-in secure secret storage (not in plaintext settings files), validates keys upon entry via a test API call, and uses the stored key for all subsequent OpenAI API requests. Keys are never logged, displayed in chat, or transmitted outside of OpenAI API calls, ensuring credentials remain isolated from the extension's codebase and user data.","intents":["I want to use CodeGenie without exposing my OpenAI API key in plaintext config files","I need to verify my API key is valid before using the extension","I want to ensure my API key is not accidentally logged or shared in chat history"],"best_for":["developers working on shared machines who need secure credential isolation","teams with security policies requiring encrypted credential storage","developers concerned about API key exposure in version-controlled config files"],"limitations":["API key is stored per VS Code instance — not synced across devices if VS Code settings are synced","No key rotation or expiration management — users must manually update keys when rotated","No audit log of API key usage — cannot track which requests used which key","Validation is a single test call — does not verify quota, rate limits, or billing status","If VS Code's secret storage is compromised, API keys are exposed (depends on OS-level credential storage)"],"requires":["VS Code extension installed","Valid OpenAI API key from https://platform.openai.com/account/api-keys","Internet connectivity to validate key with OpenAI API"],"input_types":["text (OpenAI API key)"],"output_types":["text (validation success/failure message)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-astalwick-codegenie__cap_9","uri":"capability://code.generation.editing.context.aware.code.insertion.with.bidirectional.editor.integration","name":"context-aware code insertion with bidirectional editor integration","description":"Enables bidirectional transfer of code between the editor and chat panel via explicit UI buttons: the `>` button copies selected code into the chat context, and the `<` button inserts generated code from the chat back into the editor at the cursor position. This pattern maintains explicit user control over code transfer and prevents accidental code loss or unintended modifications.","intents":["I want to send selected code to CodeGenie and get a refactored version back without copy-pasting","I need to insert generated code into my file at a specific location","I want to ensure code transfer is explicit and auditable — no automatic code capture"],"best_for":["developers who prefer explicit control over code transfer (vs auto-capture like Copilot)","teams with code review processes that require visibility into AI-generated code before insertion","developers working with sensitive code who want to avoid automatic context capture"],"limitations":["Code insertion is at cursor position only — no multi-location insertion or merge capabilities","No diff preview before insertion — code is inserted directly without review","No undo integration — inserted code can be undone via Ctrl+Z, but not tracked as 'AI-generated'","Bidirectional transfer requires two separate button clicks — not as seamless as auto-capture","No syntax validation before insertion — malformed code can be inserted and break the file"],"requires":["VS Code extension installed","Active editor with code file open","Selected code for `>` button, or generated code in chat for `<` button"],"input_types":["code (selected text from editor)"],"output_types":["code (inserted into editor at cursor position)"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["VS Code (minimum version unknown, likely 1.60+)","OpenAI API key with active billing account","Internet connectivity to reach OpenAI API endpoints","Selected code in active editor (explicit user action required)","VS Code extension installed and API key configured","Selected code in active editor (typically 10-500 lines for meaningful refactoring)","OpenAI API key with sufficient quota for multiple model calls","Selected code in active editor (typically a single function or class method)","Selected code in active editor","Selected code in active editor (typically 5-100 lines for meaningful review)"],"failure_modes":["Only selected code is sent as context — no automatic project-wide or multi-file context awareness","No codebase indexing or semantic understanding of project structure; each query is stateless relative to the full codebase","Context window limited by OpenAI model (GPT-3.5: 4k, GPT-4: 8k, GPT-4-turbo: 128k tokens); large selections may be truncated","No local caching of generated code — each regeneration requires a new API call and incurs OpenAI costs","Refactoring prompt is not customizable per-request — only the system prompt can be configured globally","No validation that refactored code is syntactically correct or semantically equivalent to original","No diff view or side-by-side comparison of original vs refactored code built-in","Model selection is per-request, not persistent — must re-select model for each regeneration","Generated tests may not cover all edge cases or error conditions relevant to the code","No validation that tests actually pass against the code — tests may be syntactically correct but logically wrong","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.32,"quality":0.47,"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":"2026-05-24T12:16:34.118Z","last_scraped_at":"2026-05-03T15:20:31.090Z","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=codegenie-gpt4","compare_url":"https://unfragile.ai/compare?artifact=codegenie-gpt4"}},"signature":"oUPIsEC7OgZy54EAcUr9LvkYfAaVcy3y3c9sOlMJ+dm7BNg4bOY6U+Qmqsm18SqT2v9a7dQO+sjjjEyQRzOTDg==","signedAt":"2026-06-22T12:34:42.888Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/codegenie-gpt4","artifact":"https://unfragile.ai/codegenie-gpt4","verify":"https://unfragile.ai/api/v1/verify?slug=codegenie-gpt4","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"}}