{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-trelent-trelent","slug":"trelent-ai-docstrings-on-demand","name":"Trelent - AI Docstrings on Demand","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=Trelent.trelent","page_url":"https://unfragile.ai/trelent-ai-docstrings-on-demand","categories":["code-editors"],"tags":["ai","artificial intelligence","docblock","docs","docstring","documentation","javadoc","jsdoc","keybindings","productivity"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-trelent-trelent__cap_0","uri":"capability://code.generation.editing.cursor.position.triggered.docstring.generation.for.single.functions","name":"cursor-position-triggered docstring generation for single functions","description":"Generates language-specific docstrings by analyzing the function signature and body at the current cursor position, then inserts the formatted docstring directly into the source file. The extension reads the active editor buffer, extracts the function context, sends it to a cloud-based AI backend, and receives a formatted docstring that matches the target language's standard (JSDoc for JavaScript, JavaDoc for Java, XML for C#, ReST/Google/Numpy for Python). Activation occurs via keyboard shortcut (Alt+D / Cmd+D) or context menu, making it an on-demand, synchronous operation integrated into the code editing workflow.","intents":["I want to quickly generate a docstring for the function I just wrote without manually typing parameter descriptions","I need to document a function in the standard format for my language (JSDoc, JavaDoc, etc.) without looking up the syntax","I want to add docstrings to existing code without breaking my editing flow"],"best_for":["solo developers and small teams using VS Code who prioritize documentation speed over customization","developers working in Python, JavaScript, Java, or C# codebases with existing docstring conventions","teams that want to enforce consistent docstring formatting across a codebase"],"limitations":["Function-level scope only — cannot generate docstrings for classes, modules, or multiple functions in batch","No project-wide context awareness — docstring generation is isolated to the current function signature and body, missing cross-file type information or dependency context","Accuracy not guaranteed — extension explicitly disclaims 100% accuracy; generated docstrings may contain errors and require manual review","Language support limited to Python, JavaScript, Java, C# — other languages are listed as 'on our roadmap' with no timeline","No offline capability — requires cloud backend connectivity; no local model option available in free tier","Source code transmitted to cloud backend — code is sent to Trelent servers for processing and may be stored anonymously for service improvement"],"requires":["Visual Studio Code (version not specified, likely 1.50+)","Active internet connection for cloud backend communication","Cursor positioned within a function/method definition in a supported language file","Appropriate ownership rights for the code being documented (per Trelent terms)"],"input_types":["source code (function signature and body from active editor buffer)"],"output_types":["formatted docstring text (language-specific: JSDoc, JavaDoc, XML, ReST/Google/Numpy)"],"categories":["code-generation-editing","documentation-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-trelent-trelent__cap_1","uri":"capability://code.generation.editing.language.specific.docstring.format.adaptation","name":"language-specific docstring format adaptation","description":"Automatically detects the file type of the active editor and generates docstrings conforming to that language's standard documentation format. For Python, the extension supports multiple formats (ReST, Google, Numpy) with format selection mechanism undisclosed; for JavaScript, Java, and C#, it generates JSDoc, JavaDoc, and XML formats respectively. The AI backend receives language context from the file extension and produces output matching the appropriate docstring syntax, including parameter descriptions, return type documentation, and exception handling where applicable.","intents":["I want docstrings that follow my language's standard conventions without manually formatting them","I need to switch between different Python docstring styles (Google vs ReST) without reconfiguring the tool","I want to ensure all docstrings in my codebase use the correct language-specific format"],"best_for":["teams with strict docstring format requirements per language","Python developers using multiple docstring conventions across projects","developers new to a language who want to learn correct docstring syntax by example"],"limitations":["Python format selection mechanism is undocumented — unclear how the extension chooses between ReST, Google, and Numpy formats or whether users can configure preference","No custom format support — only standard language formats are supported; cannot generate Sphinx, Doxygen, or other specialized documentation formats","Limited format coverage — only 4 languages supported; other languages cannot use the extension","No format validation — generated docstrings are not validated against language-specific docstring parsers or linters"],"requires":["File must have a recognized language extension (.py, .js, .java, .cs)","Function must be syntactically valid in the target language"],"input_types":["source code with language context (file extension)"],"output_types":["formatted docstring (JSDoc, JavaDoc, XML, ReST, Google, or Numpy syntax)"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-trelent-trelent__cap_2","uri":"capability://code.generation.editing.cloud.based.ai.docstring.inference.with.anonymized.data.retention","name":"cloud-based ai docstring inference with anonymized data retention","description":"Processes function code through a cloud-based AI backend (model architecture and provider undisclosed) that analyzes function signatures, parameter names, return types, and implementation logic to generate semantically appropriate docstrings. The backend stores anonymized source code for service improvement, meaning identifying information is stripped but code structure and logic patterns are retained. Communication is one-way: the extension sends code to the backend and receives generated docstring text; no iterative refinement or feedback loop is documented.","intents":["I want AI to understand my function's purpose and generate accurate parameter descriptions without manual input","I need docstrings that reflect the actual behavior of my code, not just generic templates","I want to contribute to improving the AI model by allowing my code patterns to be used for training (anonymously)"],"best_for":["developers comfortable with cloud processing of source code","teams with code that doesn't contain sensitive business logic or proprietary algorithms","organizations willing to trade privacy for convenience in documentation generation"],"limitations":["Model details undisclosed — no information about model size, training data, or architecture; cannot assess bias or accuracy limitations","Anonymized data retention — code is stored on Trelent servers for model improvement; users must trust Trelent's anonymization process","No local alternative in free tier — cloud processing is mandatory; enterprise self-hosted option exists but requires contact/negotiation","Latency unknown — no documentation of response time; cloud round-trip may introduce perceptible delays in editor responsiveness","No model selection — users cannot choose between different AI models or providers; locked into Trelent's backend","Data sharing with partners — 'certain required data' is shared with hosting, payment, and account management partners (specifics undisclosed)"],"requires":["Active internet connection to Trelent cloud backend","Code ownership or appropriate rights to submit code to third-party service","Acceptance of Trelent Terms of Use and Privacy Policy"],"input_types":["function source code (signature and body)"],"output_types":["AI-generated docstring text"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-trelent-trelent__cap_3","uri":"capability://tool.use.integration.vs.code.editor.integration.with.keyboard.shortcut.and.context.menu.activation","name":"vs code editor integration with keyboard shortcut and context menu activation","description":"Integrates into VS Code's command palette, keyboard binding system, and right-click context menu to provide multiple activation paths for docstring generation. The primary shortcut is Alt+D (Windows/Linux) or Cmd+D (macOS), registered via VS Code's keybinding API. The extension also appears in the context menu when right-clicking in a text editor, allowing mouse-based activation. Activation is synchronous and cursor-position-aware: the extension reads the current cursor location, identifies the enclosing function, and triggers generation without requiring explicit function selection.","intents":["I want to generate a docstring with a single keyboard shortcut without reaching for the mouse","I want to right-click on a function and see a 'Generate Docstring' option in the context menu","I want the docstring generation command to appear in the VS Code command palette for discoverability"],"best_for":["keyboard-centric developers who prefer hotkeys over mouse navigation","teams using VS Code as the standard editor with consistent keybinding conventions","developers who want minimal UI overhead and in-place code modification"],"limitations":["Keyboard shortcut may conflict with user-defined bindings — Alt+D and Cmd+D could conflict with other extensions or user preferences; no documented conflict resolution","Context menu only available in text editor — right-click in other VS Code views (explorer, terminal) will not show the docstring option","No batch activation — keyboard shortcut and context menu are function-level only; no way to generate docstrings for multiple functions at once","Cursor position dependency — extension must correctly identify function boundaries from cursor position; behavior undefined for nested functions, lambdas, or edge cases","No visual feedback documented — no indication of loading state, success, or error during docstring generation"],"requires":["Visual Studio Code installed and active","Cursor positioned within a function definition","Keyboard shortcut not bound to another command (for keyboard activation)"],"input_types":["cursor position in editor"],"output_types":["docstring inserted into editor buffer"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-trelent-trelent__cap_4","uri":"capability://code.generation.editing.function.boundary.detection.and.signature.extraction.from.cursor.position","name":"function boundary detection and signature extraction from cursor position","description":"Analyzes the code at the current cursor position to identify the enclosing function, extract its signature (parameters, return type), and read its implementation body. The extension uses language-specific parsing (mechanism undisclosed) to determine function boundaries, parameter names, types, and return type information. This context is then sent to the AI backend for docstring generation. The extraction is scoped to the current function only; no cross-function or class-level analysis is performed.","intents":["I want the tool to automatically find the function I'm in without me having to select it","I want the docstring to include accurate parameter names and types from my function signature","I want to generate docstrings for nested or overloaded functions by placing my cursor in them"],"best_for":["developers working with large functions who don't want to manually select code","teams with complex function signatures (many parameters, generic types) that need accurate extraction","developers using languages with flexible syntax (Python) where function boundaries may be ambiguous"],"limitations":["Nested function handling unclear — no documentation of how the extension handles nested functions, lambdas, or closures; may extract outer function instead of inner","Language-specific parsing undisclosed — parsing approach (AST, regex, language server) is not documented; accuracy and edge case handling unknown","Type inference limited to signature — cannot infer types from implementation logic or external type annotations; relies on explicit type hints in signature","No multi-function support — cannot extract and document multiple functions in a single operation","Edge case behavior undefined — behavior for anonymous functions, arrow functions, async functions, generators, or decorators not documented"],"requires":["Cursor positioned within a function definition","Function must have a valid signature in the target language","Function must be syntactically complete (no partial/incomplete code)"],"input_types":["source code buffer with cursor position"],"output_types":["extracted function signature and body (sent to backend)"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-trelent-trelent__cap_5","uri":"capability://tool.use.integration.freemium.pricing.model.with.cloud.based.generation.and.enterprise.self.hosting.option","name":"freemium pricing model with cloud-based generation and enterprise self-hosting option","description":"Offers a free tier providing cloud-based docstring generation with anonymized data retention for model improvement, and an enterprise tier enabling self-hosted deployment on customer infrastructure. The free tier uses Trelent's cloud backend (no usage limits documented); the enterprise tier allows on-premises deployment with no data transmission to Trelent servers. Pricing details for enterprise are not published; interested customers must contact Trelent directly. The freemium model is designed to reduce friction for individual developers while offering privacy-preserving options for enterprises.","intents":["I want to try docstring generation for free before committing to a paid solution","I need a self-hosted option that doesn't send my code to third-party servers","I want to evaluate the tool's quality on my codebase without upfront cost"],"best_for":["solo developers and small teams evaluating the tool with no budget","enterprises with strict data residency or privacy requirements","organizations wanting to avoid vendor lock-in by self-hosting"],"limitations":["Free tier limitations undocumented — no information on usage limits, rate limiting, or feature restrictions in free tier","Enterprise pricing opaque — no published pricing or feature comparison; requires sales contact for quotes","Self-hosted deployment details absent — no documentation of deployment process, infrastructure requirements, licensing model, or support terms for enterprise tier","No hybrid option documented — unclear if enterprise customers can use cloud backend for some operations and self-hosted for others","Data retention in free tier — anonymized code storage may be unacceptable for some organizations even if free"],"requires":["Free tier: internet connection to Trelent cloud backend","Enterprise tier: on-premises infrastructure (requirements unknown), direct contact with Trelent sales"],"input_types":["pricing tier selection (free or enterprise)"],"output_types":["access to docstring generation service (cloud or self-hosted)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-trelent-trelent__cap_6","uri":"capability://safety.moderation.accuracy.disclaimer.and.manual.review.requirement","name":"accuracy disclaimer and manual review requirement","description":"Explicitly disclaims 100% accuracy of generated docstrings and requires users to manually review all output before committing to version control or production. The extension does not provide built-in validation, linting, or comparison against the actual code; users must visually inspect generated docstrings for semantic correctness, parameter accuracy, and consistency with implementation. This design places responsibility on the user to catch errors, hallucinations, or misinterpretations by the AI backend.","intents":["I want to understand that generated docstrings may contain errors and should be reviewed","I want to catch inaccurate parameter descriptions or missing edge cases before they're committed","I want to ensure docstrings match my code's actual behavior, not just the AI's interpretation"],"best_for":["teams with code review processes that include documentation review","developers who understand AI limitations and are comfortable with post-generation editing","projects where documentation accuracy is critical and errors are unacceptable"],"limitations":["No automated validation — extension does not validate generated docstrings against code or language-specific docstring standards","No error detection — no indication of confidence level, potential errors, or areas requiring manual review","Manual review overhead — users must read and edit every generated docstring, reducing time savings compared to fully automated solutions","No diff preview — unclear if extension shows a preview of the docstring before insertion, making it difficult to review before committing","Liability disclaimer — Trelent disclaims responsibility for inaccurate docstrings; users bear full responsibility for quality"],"requires":["User willingness to manually review generated docstrings","Code review process that includes documentation review","Understanding of the target language's docstring conventions to identify errors"],"input_types":["generated docstring text"],"output_types":["manually reviewed and corrected docstring"],"categories":["safety-moderation","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":36,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (version not specified, likely 1.50+)","Active internet connection for cloud backend communication","Cursor positioned within a function/method definition in a supported language file","Appropriate ownership rights for the code being documented (per Trelent terms)","File must have a recognized language extension (.py, .js, .java, .cs)","Function must be syntactically valid in the target language","Active internet connection to Trelent cloud backend","Code ownership or appropriate rights to submit code to third-party service","Acceptance of Trelent Terms of Use and Privacy Policy","Visual Studio Code installed and active"],"failure_modes":["Function-level scope only — cannot generate docstrings for classes, modules, or multiple functions in batch","No project-wide context awareness — docstring generation is isolated to the current function signature and body, missing cross-file type information or dependency context","Accuracy not guaranteed — extension explicitly disclaims 100% accuracy; generated docstrings may contain errors and require manual review","Language support limited to Python, JavaScript, Java, C# — other languages are listed as 'on our roadmap' with no timeline","No offline capability — requires cloud backend connectivity; no local model option available in free tier","Source code transmitted to cloud backend — code is sent to Trelent servers for processing and may be stored anonymously for service improvement","Python format selection mechanism is undocumented — unclear how the extension chooses between ReST, Google, and Numpy formats or whether users can configure preference","No custom format support — only standard language formats are supported; cannot generate Sphinx, Doxygen, or other specialized documentation formats","Limited format coverage — only 4 languages supported; other languages cannot use the extension","No format validation — generated docstrings are not validated against language-specific docstring parsers or linters","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39,"quality":0.24,"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":"2026-05-03T15:20:31.090Z","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=trelent-ai-docstrings-on-demand","compare_url":"https://unfragile.ai/compare?artifact=trelent-ai-docstrings-on-demand"}},"signature":"ubfGoNfQj+Xkg1mjYuaqFFRbDhzVeje3vtqasFvPvGJsj1x3rFs+h7dTHVXPbN59spQQe7VtxYmSgSyycxm+Aw==","signedAt":"2026-06-20T16:08:10.936Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/trelent-ai-docstrings-on-demand","artifact":"https://unfragile.ai/trelent-ai-docstrings-on-demand","verify":"https://unfragile.ai/api/v1/verify?slug=trelent-ai-docstrings-on-demand","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"}}