{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-fittentech-fitten-code","slug":"fitten-code-faster-and-better-ai-assistant","name":"Fitten Code : Faster and Better AI Assistant","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=FittenTech.Fitten-Code","page_url":"https://unfragile.ai/fitten-code-faster-and-better-ai-assistant","categories":["code-editors"],"tags":["ai","chatgpt","code explanation","codex","copilot","fcode","fcoder","fittenai","fittencode","fittencoder","github copilot","gpt","keybindings"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-fittentech-fitten-code__cap_0","uri":"capability://code.generation.editing.sub.250ms.inline.code.completion.with.multi.line.prediction","name":"sub-250ms inline code completion with multi-line prediction","description":"Generates code suggestions inline during typing with claimed <250ms latency, predicting both single-line and multi-line completions based on current file context. Uses a proprietary large-scale code model deployed on Fitten Tech's cloud backend, triggered automatically as the developer types. Suggestions appear as ghost text in the editor and can be accepted via Tab (full), Ctrl+Down (single line), or Ctrl+Right (single word) keybindings.","intents":["I want code completions to appear while I'm typing without noticeable lag","I need multi-line suggestions for common patterns like loops, conditionals, and function bodies","I want fine-grained control over accepting suggestions — full suggestion, one line, or one word at a time"],"best_for":["solo developers and small teams using VS Code as primary editor","developers working in Python, JavaScript, TypeScript, Java, C, C++ who want fast local-feeling completions","teams prioritizing low-latency IDE experience over offline capability"],"limitations":["Requires cloud connectivity — no offline completion capability; latency depends on network quality and backend load","Context limited to current file only — no cross-file or project-wide context awareness documented","Completion quality unknown; no published accuracy metrics or benchmarks against Copilot or Tabnine","Proprietary model means no transparency into training data, model size, or update frequency"],"requires":["Visual Studio Code (minimum version unknown, likely 1.50+)","Active internet connection to Fitten Tech backend","One of supported languages: Python, JavaScript, TypeScript, Java, C, C++, or others"],"input_types":["current file content (full or partial)","cursor position and surrounding context"],"output_types":["inline code suggestion (text)","multi-line code block (text)"],"categories":["code-generation-editing","ide-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_1","uri":"capability://code.generation.editing.chat.based.code.generation.from.natural.language","name":"chat-based code generation from natural language","description":"Accepts natural language prompts in a sidebar chat interface and generates code snippets, functions, or blocks in response. Integrates with the same proprietary backend model as inline completion. Developers select code or type prompts, and the model returns generated code that can be inserted into the editor or copied manually.","intents":["I want to describe what code I need in English and have it generated for me","I need to generate boilerplate or scaffolding code without typing it manually","I want to iterate on code generation through a conversational interface"],"best_for":["developers prototyping quickly and willing to trade some code review overhead for speed","teams building in supported languages who want chat-based code generation without switching tools","developers new to a language or framework seeking guided code generation"],"limitations":["Scope of generation unclear — no documentation on whether it supports full-file generation, function-level, or snippet-level only","No version control integration — generated code must be manually reviewed and integrated","Context limited to selected code or explicit prompt — no access to project dependencies, APIs, or external documentation","No iterative refinement workflow documented — unclear if follow-up prompts maintain conversation history"],"requires":["Visual Studio Code with Fitten Code extension installed","Active internet connection","Natural language prompt describing desired code"],"input_types":["natural language text (prompt)","optional selected code (for context)"],"output_types":["code snippet or block (text)","multi-line function or class (text)"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_2","uri":"capability://code.generation.editing.semantic.code.translation.between.programming.languages","name":"semantic code translation between programming languages","description":"Translates selected code from one programming language to another while preserving semantic meaning. Triggered via chat interface by selecting code and requesting translation. Uses the proprietary model to understand code intent and rewrite it in target language idioms, handling language-specific syntax, standard libraries, and common patterns.","intents":["I need to port code from Python to JavaScript but don't want to rewrite it manually","I want to understand how a Java pattern translates to C++ idiomatically","I'm migrating a codebase and need to batch-translate functions across languages"],"best_for":["teams migrating between tech stacks or supporting multiple language implementations","developers learning new languages by seeing equivalent code translated","polyglot teams maintaining code in multiple languages"],"limitations":["Translation completeness unknown — no documentation on handling of advanced features like generics, async/await, or language-specific idioms","Supported language pairs not documented — unclear if all 6+ supported languages can translate to/from each other","No validation of translated code — output requires manual testing and review","Context limited to selected code block — no access to imports, dependencies, or project structure"],"requires":["Visual Studio Code with Fitten Code extension","Selected code block in editor","Target language specified in chat prompt","Internet connection to backend"],"input_types":["source code (text, selected)","target language name (natural language)"],"output_types":["translated code (text)","equivalent code in target language"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_3","uri":"capability://text.generation.language.on.demand.code.explanation.with.natural.language","name":"on-demand code explanation with natural language","description":"Analyzes selected code and generates natural language explanations of its functionality, logic, and purpose. Triggered by selecting code and querying via sidebar chat. The proprietary model reads the code structure and produces human-readable descriptions of what the code does, how it works, and why specific patterns are used.","intents":["I need to understand what this legacy code does without reading it line-by-line","I want to document code by generating explanations for comments","I'm reviewing code and need quick summaries of complex functions"],"best_for":["developers onboarding to unfamiliar codebases","teams documenting legacy code without original authors","code reviewers needing quick context on complex logic"],"limitations":["Explanation quality depends on code clarity — obfuscated or poorly-structured code may produce confusing explanations","No source-level documentation access — explanations based on code alone, not docstrings or comments","Context limited to selected block — no understanding of broader function or module purpose","Accuracy not validated — explanations may be plausible but incorrect for edge cases or non-obvious logic"],"requires":["Visual Studio Code with Fitten Code extension","Selected code block (function, class, or snippet)","Internet connection"],"input_types":["source code (text, selected)"],"output_types":["natural language explanation (text)","markdown-formatted description"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_4","uri":"capability://code.generation.editing.test.case.generation.for.selected.code","name":"test case generation for selected code","description":"Analyzes selected code and generates test cases covering common scenarios, edge cases, and error conditions. Triggered via chat interface by selecting code and requesting test generation. The model understands code logic and produces test code in the same or specified language, including assertions and setup/teardown if applicable.","intents":["I need to write unit tests for this function but don't want to manually enumerate test cases","I want to ensure my code has edge case coverage before shipping","I'm refactoring and need tests to verify behavior hasn't changed"],"best_for":["developers in fast-moving teams prioritizing speed over test comprehensiveness","teams building in languages with strong testing frameworks (Python pytest, JavaScript Jest, Java JUnit)","developers new to testing frameworks seeking examples"],"limitations":["Test framework support unknown — no documentation on which testing frameworks are supported (pytest, Jest, JUnit, etc.)","Generated tests require review — model may miss important edge cases or generate false-positive assertions","Context limited to selected function — no understanding of dependencies, mocks, or integration points","Coverage metrics not provided — no guarantee of statement or branch coverage","Setup/teardown and fixtures not documented — unclear if model generates database mocks, API stubs, etc."],"requires":["Visual Studio Code with Fitten Code extension","Selected code block (function or method)","Target testing framework (if non-default)","Internet connection"],"input_types":["source code (text, selected)","optional testing framework name"],"output_types":["test code (text)","test cases with assertions"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_5","uri":"capability://code.generation.editing.error.detection.and.code.quality.analysis","name":"error detection and code quality analysis","description":"Analyzes selected code to identify potential bugs, logic errors, performance issues, and code quality problems. Triggered via chat interface or context menu on selected code. The proprietary model applies pattern matching and semantic understanding to flag issues like null pointer dereferences, infinite loops, type mismatches, and style violations.","intents":["I want to catch bugs before code review without running static analysis tools","I need to identify performance issues in this function","I'm reviewing code and want a quick quality check"],"best_for":["developers seeking lightweight code review without external tool setup","teams in languages with weak static analysis tooling (e.g., Python, JavaScript)","code reviewers needing quick quality signals"],"limitations":["Error detection scope unknown — no documentation on which error categories are detected (null safety, type errors, logic errors, performance, style)","No false-positive rate documented — unclear how many spurious warnings are generated","Context limited to selected code — no data flow analysis across functions or files","No integration with linters or static analysis tools — results not comparable to established tools like ESLint, Pylint, or SonarQube","Severity levels not documented — unclear if all detected issues are equally important"],"requires":["Visual Studio Code with Fitten Code extension","Selected code block","Internet connection"],"input_types":["source code (text, selected)"],"output_types":["error/warning list (text)","issue descriptions with severity"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_6","uri":"capability://text.generation.language.automatic.comment.generation.for.code.blocks","name":"automatic comment generation for code blocks","description":"Generates natural language comments for selected code or entire functions, explaining what the code does and why. Triggered automatically or on-demand via chat interface. The model analyzes code structure and produces comments in standard formats (single-line //, multi-line /* */, or docstring formats depending on language).","intents":["I want to add comments to my code without manually writing them","I need to generate docstrings for functions before shipping","I'm documenting legacy code and need comments for clarity"],"best_for":["developers in teams with strict documentation requirements","teams maintaining legacy code without original documentation","developers new to a codebase seeking quick understanding via generated comments"],"limitations":["Comment quality depends on code clarity — poorly-written code produces unhelpful comments","No docstring standard enforcement — unclear if generated comments follow PEP 257 (Python), JSDoc (JavaScript), or other standards","Context limited to selected code — no understanding of broader module or class purpose","Trigger mechanism unclear — no documentation on whether comments are generated automatically or only on-demand","No integration with documentation generators — comments not formatted for Sphinx, Javadoc, or similar tools"],"requires":["Visual Studio Code with Fitten Code extension","Code block to document (function, class, or snippet)","Internet connection"],"input_types":["source code (text, selected or full function)"],"output_types":["comment text (natural language)","docstring (formatted for language)"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_7","uri":"capability://code.generation.editing.multi.language.support.with.language.specific.code.generation","name":"multi-language support with language-specific code generation","description":"Supports code generation, completion, and analysis across multiple programming languages (Python, JavaScript, TypeScript, Java, C, C++, and others). The proprietary model is trained on code from all supported languages and generates language-idiomatic code, respecting syntax rules, standard libraries, and common patterns for each language. Language detection is automatic based on file extension.","intents":["I work in multiple languages and want a single AI assistant that understands all of them","I need code generation that respects language idioms and conventions","I want completions that use language-standard libraries instead of generic patterns"],"best_for":["polyglot developers and teams supporting multiple languages","teams migrating between tech stacks","developers learning new languages"],"limitations":["Exact list of supported languages not documented — marketplace lists 'Python, JavaScript, TypeScript, Java, C, C++, and more' without specifics","Language-specific quality unknown — no benchmarks showing whether generation quality is consistent across languages","Unsupported languages not documented — unclear what happens when opening files in unsupported languages (graceful degradation or error)","Language-specific idioms not guaranteed — model may generate syntactically correct but non-idiomatic code"],"requires":["Visual Studio Code with Fitten Code extension","File with recognized language extension (.py, .js, .ts, .java, .c, .cpp, etc.)","Internet connection"],"input_types":["source code in any supported language"],"output_types":["code in same language as input","translated code in target language (for translation feature)"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_8","uri":"capability://code.generation.editing.granular.suggestion.acceptance.with.keybinding.control","name":"granular suggestion acceptance with keybinding control","description":"Provides fine-grained control over accepting code suggestions through dedicated keybindings: Tab accepts full suggestion, Ctrl+Down (Windows/Linux) or Cmd+Down (macOS) accepts single line, Ctrl+Right (Windows/Linux) or Cmd+Right (macOS) accepts single word. Allows developers to accept partial suggestions without committing to entire multi-line predictions, reducing need to manually delete unwanted code.","intents":["I want to accept only the first line of a multi-line suggestion without deleting the rest","I need to accept just one word of a suggestion and continue typing","I want keyboard shortcuts that don't conflict with my existing VS Code keybindings"],"best_for":["developers with strong keyboard muscle memory who want precise control","teams with strict coding standards requiring selective acceptance","developers working on systems where full suggestions are often incorrect"],"limitations":["Keybindings fixed and not customizable — no documentation on remapping to user preferences","Word-level acceptance may be ambiguous — unclear how 'word' is defined (identifier, token, or whitespace-delimited)","No visual indication of acceptance scope — unclear if UI shows what will be accepted before keypress","Keybindings platform-specific — different bindings for Windows/Linux vs macOS may confuse teams with mixed platforms"],"requires":["Visual Studio Code with Fitten Code extension","Active code suggestion displayed inline","Keyboard with Ctrl/Cmd and arrow keys"],"input_types":["inline code suggestion (displayed)","keyboard input (Tab, Ctrl+Down, Ctrl+Right, etc.)"],"output_types":["accepted code inserted into editor"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-fittentech-fitten-code__cap_9","uri":"capability://text.generation.language.sidebar.chat.interface.for.interactive.code.assistance","name":"sidebar chat interface for interactive code assistance","description":"Provides a persistent sidebar panel within VS Code for conversational interaction with the AI model. Developers can type natural language prompts, select code for context, and receive responses (code generation, explanations, translations, etc.) without leaving the editor. Chat history is maintained during the session, allowing follow-up queries.","intents":["I want to ask the AI questions about code without opening a separate window","I need a persistent chat history to track my conversation during a coding session","I want to select code and ask questions about it in context"],"best_for":["developers who prefer chat-based interaction over inline suggestions","teams using VS Code as primary IDE and wanting integrated assistance","developers working on complex tasks requiring multi-turn conversation"],"limitations":["Conversation memory scope unknown — unclear if chat history persists across sessions or is cleared on extension reload","No documented context management — unclear how selected code is passed to chat or how multi-file context is handled","Sidebar real estate — chat panel competes with other VS Code sidebars (Explorer, Source Control, Extensions)","No documented markdown or code block formatting — unclear if responses support syntax highlighting or formatted output"],"requires":["Visual Studio Code with Fitten Code extension","Sidebar visible (can be toggled)","Internet connection"],"input_types":["natural language text (typed in chat)","optional selected code (for context)"],"output_types":["natural language response (text)","code blocks (text)","explanations or suggestions"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (minimum version unknown, likely 1.50+)","Active internet connection to Fitten Tech backend","One of supported languages: Python, JavaScript, TypeScript, Java, C, C++, or others","Visual Studio Code with Fitten Code extension installed","Active internet connection","Natural language prompt describing desired code","Visual Studio Code with Fitten Code extension","Selected code block in editor","Target language specified in chat prompt","Internet connection to backend"],"failure_modes":["Requires cloud connectivity — no offline completion capability; latency depends on network quality and backend load","Context limited to current file only — no cross-file or project-wide context awareness documented","Completion quality unknown; no published accuracy metrics or benchmarks against Copilot or Tabnine","Proprietary model means no transparency into training data, model size, or update frequency","Scope of generation unclear — no documentation on whether it supports full-file generation, function-level, or snippet-level only","No version control integration — generated code must be manually reviewed and integrated","Context limited to selected code or explicit prompt — no access to project dependencies, APIs, or external documentation","No iterative refinement workflow documented — unclear if follow-up prompts maintain conversation history","Translation completeness unknown — no documentation on handling of advanced features like generics, async/await, or language-specific idioms","Supported language pairs not documented — unclear if all 6+ supported languages can translate to/from each other","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.77,"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=fitten-code-faster-and-better-ai-assistant","compare_url":"https://unfragile.ai/compare?artifact=fitten-code-faster-and-better-ai-assistant"}},"signature":"SJAn4H4cgQvrh31AlrTdD6lt4dzEqiZsgphP8G4yYOpvwvM+VyixLUOVBtxMbalhntuFzELviUY6vUuNYgUsCQ==","signedAt":"2026-06-21T19:04:57.605Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/fitten-code-faster-and-better-ai-assistant","artifact":"https://unfragile.ai/fitten-code-faster-and-better-ai-assistant","verify":"https://unfragile.ai/api/v1/verify?slug=fitten-code-faster-and-better-ai-assistant","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"}}