{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-dhiwisepvtltd-dhiwisecodesync","slug":"wisegpt-coding-assistant-by-dhiwise","name":"WiseGPT (Coding Assistant by DhiWise)","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=dhiwisepvtltd.dhiwisecodesync","page_url":"https://unfragile.ai/wisegpt-coding-assistant-by-dhiwise","categories":["code-editors","deployment-infra"],"tags":["AI","API Integration","Automated coding","codex","dart","Flutter","Frontend","GenAI","javascript","keybindings","LLM","Mobile development","OpenAI","Promptless","React","typescript"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_0","uri":"capability://memory.knowledge.repository.wide.codebase.analysis.and.context.extraction","name":"repository-wide codebase analysis and context extraction","description":"Analyzes the entire codebase within a VS Code workspace to build a semantic understanding of code patterns, architecture, and style conventions. The extension sends codebase metadata to DhiWise backend servers which index and vectorize the code for context-aware generation. Uses @codebase mention syntax in chat to trigger full repository context retrieval, enabling the AI to understand existing patterns, naming conventions, and architectural decisions before generating new code.","intents":["I want the AI to understand my entire project structure so it generates code that matches my existing patterns","I need the assistant to know about all my utility functions and libraries so it reuses them instead of reinventing","I want code suggestions that respect my project's architecture and coding style without me having to explain it each time"],"best_for":["teams with established codebases and consistent style guides","developers working on large monorepos who need context-aware completions","projects with custom libraries and frameworks that need to be reused"],"limitations":["Actual codebase size limits unknown — no documentation of maximum repository size or file count supported","Scope of @codebase access unclear — unknown whether it indexes all files or respects .gitignore and exclusion patterns","Context window constraints unknown — no specification of how much codebase context fits in a single generation request","Indexing latency unknown — no documentation of how long initial codebase analysis takes or whether it runs incrementally"],"requires":["VS Code 1.0+ (minimum version unknown)","Active DhiWise account (authentication mechanism unspecified)","Codebase open in VS Code workspace","Network connectivity to DhiWise backend servers"],"input_types":["code files (all languages claimed supported)","project structure metadata","user chat queries with @codebase mention"],"output_types":["semantic code context","pattern extraction results","style convention summaries"],"categories":["memory-knowledge","codebase-indexing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_1","uri":"capability://code.generation.editing.task.to.code.generation.from.project.management.tools","name":"task-to-code generation from project management tools","description":"Integrates with task management platforms (Jira, Trello, Asana, ClickUp) to extract task descriptions and requirements, then generates production-ready code that implements those tasks. The extension reads task metadata including title, description, acceptance criteria, and linked resources, sends them to the DhiWise backend along with codebase context, and returns generated code that matches the project's existing style and architecture. Eliminates the need for manual prompt engineering by converting structured task data into code generation requests.","intents":["I want to generate code directly from my Jira tickets without writing detailed prompts","I need the AI to understand task requirements from my project management tool and implement them automatically","I want to reduce the gap between task description and code implementation by having the AI read requirements directly"],"best_for":["agile teams using Jira, Trello, Asana, or ClickUp for sprint planning","developers who want to minimize context-switching between task management and IDE","teams with well-structured task descriptions and acceptance criteria"],"limitations":["Supported task management platforms limited to Jira, Trello, Asana, ClickUp — no support for GitHub Issues, Linear, or other tools","Task parsing quality depends on task description quality — poorly written requirements will produce poor code","No feedback loop documented — unclear how generated code is validated against task acceptance criteria","Integration setup process unknown — no documentation of authentication or configuration steps for each platform"],"requires":["Active account on supported task management platform (Jira, Trello, Asana, or ClickUp)","Task management platform API credentials or OAuth token","DhiWise account with task integration enabled","Codebase context already indexed in DhiWise backend"],"input_types":["task title and description","acceptance criteria","task metadata and linked resources","project context from codebase"],"output_types":["generated source code","implementation matching project style","code ready for review and integration"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_10","uri":"capability://code.generation.editing.multi.language.and.multi.framework.code.generation","name":"multi-language and multi-framework code generation","description":"Generates code across multiple programming languages and frameworks, with support claimed for 'all programming languages and frameworks'. The extension analyzes the project's technology stack and generates code in the appropriate language and framework, using language-specific idioms and best practices. Backend inference adapts to language-specific patterns, syntax, and conventions, ensuring generated code is idiomatic rather than generic translations.","intents":["I want the AI to generate code in my project's language and framework automatically","I need code that uses language-specific idioms and best practices, not generic patterns","I want to work with multiple languages in the same project without configuring the AI separately"],"best_for":["polyglot projects using multiple languages","teams working with diverse technology stacks","developers who want language-agnostic code generation"],"limitations":["Language support matrix unknown — no documentation of which languages are fully supported vs. partially supported","Framework support unknown — no specification of which frameworks are recognized and optimized for","Language detection mechanism unknown — unclear how the AI determines target language","Idiomatic code quality unknown — no examples provided to verify language-specific best practices","Claim of 'all languages' unverified — no test matrix or coverage documentation provided"],"requires":["VS Code 1.0+ (minimum version unknown)","DhiWise account","Project with identifiable language/framework","Codebase indexed in DhiWise backend"],"input_types":["code generation requests","project language and framework context","language-specific requirements"],"output_types":["code in target language","framework-specific implementations","language-idiomatic patterns"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_11","uri":"capability://automation.workflow.freemium.usage.with.enterprise.feature.restrictions","name":"freemium usage with enterprise feature restrictions","description":"Operates on a freemium pricing model with free tier access to basic code generation and chat features, while advanced features like vulnerability detection and code implementation for tasks are restricted to enterprise users. The extension manages feature access through backend authentication and account tier checking, enabling free users to access core capabilities while reserving advanced security and automation features for paid tiers. Specific free tier limits (requests per day, codebase size, etc.) are not documented.","intents":["I want to try WiseGPT for free before committing to a paid plan","I need advanced security features like vulnerability detection for my enterprise project","I want to understand which features are available at my subscription tier"],"best_for":["individual developers and small teams evaluating the tool","enterprises with security and compliance requirements","teams wanting to pilot the tool before full adoption"],"limitations":["Free tier limits unknown — no documentation of request quotas, codebase size limits, or feature restrictions","Enterprise tier features unclear — marketplace listing mentions 'For Enterprise users only' but doesn't specify which features","Pricing structure unknown — no documentation of pricing tiers or costs","Upgrade path unknown — no documentation of how to upgrade or request enterprise features","Trial period unknown — no specification of free trial duration or limitations"],"requires":["DhiWise account (free or paid)","VS Code 1.0+ (minimum version unknown)","Network connectivity for backend authentication"],"input_types":["account tier information","feature access requests"],"output_types":["feature availability status","usage quota information","upgrade prompts"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_2","uri":"capability://code.generation.editing.figma.design.to.code.conversion.with.project.library.reuse","name":"figma design-to-code conversion with project library reuse","description":"Converts Figma design files into functional code by analyzing design components, layouts, and styling, then generates code using the project's existing UI libraries and component patterns. The extension reads Figma design metadata (components, constraints, colors, typography) and sends it to the DhiWise backend along with codebase context, which then generates code that reuses existing project components and styling conventions rather than creating new ones. Supports integration with DhiWise Design Converter projects to pull source code directly into the IDE.","intents":["I want to convert my Figma designs into code that uses my project's existing component library","I need the AI to understand my design system and generate code that matches my existing UI patterns","I want to reduce the manual work of translating designs to code by having the AI do it automatically"],"best_for":["design-to-development teams using Figma for UI design","projects with established component libraries and design systems","frontend teams wanting to accelerate design implementation"],"limitations":["Figma integration mechanism unknown — no documentation of how designs are accessed or parsed","Supported design systems unclear — unknown which UI frameworks and libraries are recognized for code generation","Complex interactions and animations may not be supported — no documentation of design feature coverage","Design-to-code accuracy unknown — no examples or test cases provided to verify output quality","Requires DhiWise Design Converter project — adds dependency on DhiWise's design tool ecosystem"],"requires":["Figma account with design file access","DhiWise Design Converter project created and linked","Project codebase with UI library or component system","VS Code workspace with codebase context indexed"],"input_types":["Figma design files","design components and layouts","styling and typography metadata","project component library definitions"],"output_types":["generated UI component code","styled markup matching project conventions","code using existing project libraries"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_3","uri":"capability://code.generation.editing.inline.code.autocompletion.with.style.aware.suggestions","name":"inline code autocompletion with style-aware suggestions","description":"Provides real-time code completion suggestions as developers type, with suggestions personalized to match the project's coding style and patterns. The extension monitors editor changes and sends partial code context to the DhiWise backend, which returns completion suggestions that align with existing code conventions, naming patterns, and architectural decisions. Supports both traditional autocompletion and comment-based code generation where developers write comments describing desired functionality and the AI generates matching code.","intents":["I want code completions that match my project's style without having to configure linters or style rules","I want to write a comment describing what I need and have the AI generate the code automatically","I want completions that reuse my existing functions and patterns instead of suggesting generic implementations"],"best_for":["individual developers and small teams with consistent coding styles","projects with established patterns that should be reused","developers who prefer comment-driven development"],"limitations":["Trigger mechanism unknown — no documentation of how completions are triggered or debounced","Latency unknown — no specification of response time for inline suggestions","Context window for completions unknown — unclear how much surrounding code is sent for context","Language support claims 'all languages' but no verification matrix provided","Comment parsing quality unknown — no documentation of how natural language comments are interpreted"],"requires":["VS Code 1.0+ (minimum version unknown)","Active DhiWise account","Network connectivity for backend inference","Codebase indexed in DhiWise backend"],"input_types":["partial code being typed","surrounding code context","comments describing desired functionality","cursor position and file context"],"output_types":["code completion suggestions","generated code blocks from comments","multiple completion alternatives"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_4","uri":"capability://code.generation.editing.vulnerability.detection.and.remediation.code.generation","name":"vulnerability detection and remediation code generation","description":"Scans code for security vulnerabilities and generates fixes that remediate identified issues while maintaining code functionality. The extension analyzes the codebase for common vulnerability patterns (SQL injection, XSS, insecure dependencies, etc.) and sends findings to the DhiWise backend, which generates corrected code that fixes the vulnerability using secure coding practices appropriate to the project's technology stack. Integrates with the codebase context to ensure fixes follow existing patterns and conventions.","intents":["I want the AI to find security vulnerabilities in my code and suggest fixes automatically","I need to remediate security issues without breaking existing functionality or introducing new problems","I want vulnerability fixes that match my project's coding style and architecture"],"best_for":["development teams with security-conscious practices","projects undergoing security audits or compliance reviews","developers who want automated vulnerability detection during development"],"limitations":["Vulnerability detection rules unknown — no documentation of CVE database, OWASP coverage, or detection methodology","False positive rate unknown — no metrics provided for detection accuracy","Supported vulnerability types unknown — unclear which vulnerability classes are detected","Fix validation unknown — no documentation of how generated fixes are tested or verified","Enterprise feature — marketplace listing indicates this may be restricted to paid/enterprise tiers"],"requires":["VS Code 1.0+ (minimum version unknown)","DhiWise account (possibly enterprise tier)","Codebase indexed in DhiWise backend","Network connectivity for backend analysis"],"input_types":["source code files","dependency manifests","configuration files","codebase patterns and conventions"],"output_types":["vulnerability findings with severity levels","remediation code suggestions","fixed code matching project style"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_5","uri":"capability://code.generation.editing.test.case.generation.from.code.and.requirements","name":"test case generation from code and requirements","description":"Automatically generates unit tests, integration tests, and test cases based on code implementation and task requirements. The extension analyzes function signatures, logic flow, and acceptance criteria from linked tasks, then generates test code that covers normal cases, edge cases, and error conditions. Generated tests follow the project's testing framework conventions and style, integrating with existing test suites rather than creating isolated test files.","intents":["I want the AI to generate comprehensive test cases for my code automatically","I need tests that cover edge cases and error conditions without writing them manually","I want generated tests that use my project's testing framework and conventions"],"best_for":["teams practicing test-driven development or wanting to improve test coverage","projects with established testing frameworks and conventions","developers who want to accelerate test writing"],"limitations":["Test framework support unknown — no documentation of which testing frameworks are supported (Jest, Mocha, pytest, etc.)","Test coverage metrics unknown — no specification of how many test cases are generated or coverage targets","Mock/stub generation unknown — unclear how external dependencies are handled in generated tests","Test quality unknown — no examples or metrics provided for generated test effectiveness","Integration with CI/CD unknown — no documentation of how generated tests are validated"],"requires":["VS Code 1.0+ (minimum version unknown)","DhiWise account","Codebase with established testing framework","Code files with clear function signatures and logic"],"input_types":["source code functions and classes","function signatures and type information","task requirements and acceptance criteria","existing test examples for style matching"],"output_types":["test code files","test cases covering normal and edge cases","mock/stub definitions","test assertions and expectations"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_6","uri":"capability://text.generation.language.code.documentation.generation.and.api.documentation","name":"code documentation generation and api documentation","description":"Automatically generates documentation for code including function documentation, API documentation, README sections, and inline comments. The extension analyzes code structure, function signatures, parameters, return types, and business logic, then generates documentation that explains purpose, usage, parameters, and examples. Documentation is generated in formats matching project conventions (JSDoc, Sphinx, Markdown, etc.) and includes code examples derived from existing usage patterns in the codebase.","intents":["I want the AI to generate comprehensive documentation for my code automatically","I need API documentation that includes examples and parameter descriptions","I want documentation that matches my project's style and format conventions"],"best_for":["teams with documentation requirements or API documentation standards","open-source projects needing comprehensive documentation","developers who want to maintain documentation without manual effort"],"limitations":["Documentation format support unknown — no specification of supported documentation styles (JSDoc, Sphinx, Markdown, etc.)","Example generation quality unknown — unclear how code examples are selected or generated","Complex logic documentation unknown — no documentation of how business logic is explained","Multi-language documentation unknown — unclear if documentation can be generated in multiple languages","Documentation accuracy unknown — no metrics provided for documentation quality or completeness"],"requires":["VS Code 1.0+ (minimum version unknown)","DhiWise account","Code files with clear structure and type information","Codebase indexed for context"],"input_types":["source code files","function signatures and type annotations","existing documentation examples","code comments and docstrings"],"output_types":["function/method documentation","API documentation","README sections","inline code comments","usage examples"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_7","uri":"capability://code.generation.editing.code.optimization.and.refactoring.suggestions","name":"code optimization and refactoring suggestions","description":"Analyzes code for performance improvements, readability enhancements, and refactoring opportunities, then generates optimized versions of the code. The extension identifies inefficient patterns, redundant code, and opportunities for abstraction, sends them to the DhiWise backend for analysis, and generates refactored code that improves performance or maintainability while preserving functionality. Refactoring suggestions respect project conventions and avoid introducing breaking changes.","intents":["I want the AI to identify performance bottlenecks and suggest optimizations","I need help refactoring code to improve readability and maintainability","I want to reduce code duplication by extracting common patterns into reusable functions"],"best_for":["teams focused on code quality and performance","projects undergoing refactoring initiatives","developers who want continuous code improvement suggestions"],"limitations":["Optimization scope unknown — no documentation of which performance issues are detected (algorithmic complexity, memory usage, etc.)","Refactoring safety unknown — no specification of how breaking changes are prevented","Performance impact unknown — no metrics provided for optimization effectiveness","Language-specific optimizations unknown — unclear if optimizations are tailored to specific languages","Testing integration unknown — no documentation of how refactored code is validated"],"requires":["VS Code 1.0+ (minimum version unknown)","DhiWise account","Code files with clear structure","Codebase context indexed"],"input_types":["source code files","performance metrics or profiling data","code complexity analysis","existing code patterns"],"output_types":["refactored code","optimization suggestions","performance improvement estimates","code quality metrics"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_8","uri":"capability://text.generation.language.chat.based.code.understanding.and.navigation","name":"chat-based code understanding and navigation","description":"Provides a conversational interface for asking questions about the codebase, understanding code behavior, and navigating complex logic. The extension maintains a chat context where developers can ask natural language questions about code functionality, architecture, or specific implementations, and the AI responds with explanations, code references, and navigation suggestions. Uses @codebase mention syntax to explicitly include repository context in questions, enabling precise answers about specific code patterns or architectural decisions.","intents":["I want to ask questions about how my codebase works without reading through all the files","I need to understand a complex function or module quickly","I want to find where specific functionality is implemented across my codebase"],"best_for":["developers onboarding to new codebases","teams with large or complex codebases","developers who prefer conversational interfaces to code browsing"],"limitations":["Chat context window unknown — no specification of how much conversation history is maintained","Answer accuracy unknown — no metrics provided for answer correctness or hallucination rates","Code reference precision unknown — unclear how accurately the AI identifies relevant code sections","Multi-file navigation unknown — no documentation of how cross-file references are handled","Rate limiting unknown — no documentation of chat request limits or quotas"],"requires":["VS Code 1.0+ (minimum version unknown)","DhiWise account","Codebase indexed in DhiWise backend","Network connectivity for backend inference"],"input_types":["natural language questions","code file references","@codebase mentions for repository context","file attachments for specific code analysis"],"output_types":["natural language explanations","code references and file locations","architectural insights","navigation suggestions"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-dhiwisepvtltd-dhiwisecodesync__cap_9","uri":"capability://tool.use.integration.file.and.image.attachment.for.context.specific.code.generation","name":"file and image attachment for context-specific code generation","description":"Allows developers to attach files and images to chat messages to provide additional context for code generation requests. The extension supports attaching code files, design images, configuration files, and other artifacts that provide context for generation tasks. Attached content is sent to the DhiWise backend along with the chat message, enabling the AI to generate code that incorporates specific requirements from attached files or design mockups without requiring manual context description.","intents":["I want to attach a design mockup and have the AI generate code that matches it","I need to provide a configuration file or specification to guide code generation","I want to attach example code that shows the style I want the AI to match"],"best_for":["developers who want to provide visual or file-based context for generation","teams using design mockups or specifications that need to be converted to code","projects with specific configuration or style requirements"],"limitations":["Supported file types unknown — no documentation of which file formats are accepted","File size limits unknown — no specification of maximum attachment size","Image parsing capability unknown — unclear which image formats and design tools are supported","Attachment processing latency unknown — no documentation of how long processing takes","Batch attachment support unknown — unclear if multiple files can be attached simultaneously"],"requires":["VS Code 1.0+ (minimum version unknown)","DhiWise account","Files or images to attach","Network connectivity for file upload"],"input_types":["code files","design images (PNG, JPG, etc.)","configuration files","specification documents","example code"],"output_types":["context-aware code generation","design-specific implementations","configuration-guided code"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":46,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.0+ (minimum version unknown)","Active DhiWise account (authentication mechanism unspecified)","Codebase open in VS Code workspace","Network connectivity to DhiWise backend servers","Active account on supported task management platform (Jira, Trello, Asana, or ClickUp)","Task management platform API credentials or OAuth token","DhiWise account with task integration enabled","Codebase context already indexed in DhiWise backend","DhiWise account","Project with identifiable language/framework"],"failure_modes":["Actual codebase size limits unknown — no documentation of maximum repository size or file count supported","Scope of @codebase access unclear — unknown whether it indexes all files or respects .gitignore and exclusion patterns","Context window constraints unknown — no specification of how much codebase context fits in a single generation request","Indexing latency unknown — no documentation of how long initial codebase analysis takes or whether it runs incrementally","Supported task management platforms limited to Jira, Trello, Asana, ClickUp — no support for GitHub Issues, Linear, or other tools","Task parsing quality depends on task description quality — poorly written requirements will produce poor code","No feedback loop documented — unclear how generated code is validated against task acceptance criteria","Integration setup process unknown — no documentation of authentication or configuration steps for each platform","Language support matrix unknown — no documentation of which languages are fully supported vs. partially supported","Framework support unknown — no specification of which frameworks are recognized and optimized for","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.5,"quality":0.49,"ecosystem":0.45,"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":"2026-05-03T15:20:33.198Z","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=wisegpt-coding-assistant-by-dhiwise","compare_url":"https://unfragile.ai/compare?artifact=wisegpt-coding-assistant-by-dhiwise"}},"signature":"/QsCRbN9CYauLqiWKPyhPtWJzYZLOrL1fO14XA1YY6/Kj8K9UaBQRfxuwMoXDwgje2u4Lki2QZNBOMUHvwRqAw==","signedAt":"2026-06-22T03:53:37.641Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/wisegpt-coding-assistant-by-dhiwise","artifact":"https://unfragile.ai/wisegpt-coding-assistant-by-dhiwise","verify":"https://unfragile.ai/api/v1/verify?slug=wisegpt-coding-assistant-by-dhiwise","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"}}