{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode","slug":"chatgpt-easycode","name":"ChatGPT - EasyCode","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=EasyCodeAI.chatgpt-gpt4-gpt3-vscode","page_url":"https://unfragile.ai/chatgpt-easycode","categories":["code-editors"],"tags":["ai","chatgpt","code explanation","code generation","code summary","copilot","debugging","explain","gpt3","gpt4","keybindings","openai","unit testing"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_0","uri":"capability://code.generation.editing.codebase.aware.code.generation.with.multi.file.context","name":"codebase-aware code generation with multi-file context","description":"Generates code across multiple files by first indexing the entire project codebase via the 'GPT: Index Codebase' command, then using that indexed context to understand existing patterns, dependencies, and architecture. The extension maintains a searchable index of project structure and file relationships, allowing the AI model to generate code that respects existing conventions and integrates seamlessly with the broader codebase rather than generating in isolation.","intents":["Generate new functions or classes that follow existing code patterns and naming conventions","Create boilerplate code that integrates with the current project structure","Extend existing modules with new functionality that respects the codebase architecture","Generate code across multiple interdependent files simultaneously"],"best_for":["Solo developers working on medium-to-large codebases who need context-aware generation","Teams migrating legacy code who need AI to understand existing patterns","Developers building multi-file features where consistency across files matters"],"limitations":["Codebase indexing is manual — requires explicit 'GPT: Index Codebase' command invocation; no automatic re-indexing on file changes","Indexing scope and update frequency are undocumented; unclear if index becomes stale after code modifications","No documented limit on codebase size; performance degradation on very large projects (>100k files) unknown","Index is stored locally in VS Code extension state; no cross-machine synchronization for distributed teams"],"requires":["Visual Studio Code (minimum version unknown)","Project directory with readable file system access","Active internet connection for model inference (backend service required)","Sufficient local disk space for codebase index (size unknown)"],"input_types":["natural language code generation requests","selected code snippets as reference","entire codebase file structure and content"],"output_types":["multi-file code generation (exact format depends on language)","code with inline comments explaining integration points","structured code blocks ready for copy-paste or inline insertion"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_1","uri":"capability://code.generation.editing.inline.code.editing.with.keyboard.shortcut","name":"inline code editing with keyboard shortcut","description":"Provides a quick inline code editing capability triggered by the CMD+E keybinding, allowing developers to select code and request modifications without leaving the editor. The extension intercepts the keybinding, captures the selected code block, sends it to the AI backend with the user's edit request, and returns the modified code for inline replacement or review.","intents":["Quickly refactor selected code without opening a chat panel","Apply formatting or style changes to a code block in-place","Request minor code modifications without context switching","Test quick edits before committing to larger refactoring"],"best_for":["Developers who prefer keyboard-driven workflows and minimal UI overhead","Teams with established code style guides who need quick style normalization","Rapid prototyping scenarios where edit-compile-test cycles are frequent"],"limitations":["Keybinding CMD+E may conflict with other VS Code extensions or custom keybindings","No documented undo/rollback mechanism if inline edit produces incorrect code","Edit scope limited to selected text; cannot request edits across non-contiguous code blocks","No preview mode — edits are applied directly to the editor without review step"],"requires":["Visual Studio Code with keybinding support","Code selection in active editor (at least one character selected)","Active internet connection to backend AI service"],"input_types":["selected code text","natural language edit instruction"],"output_types":["modified code text ready for inline replacement","code with syntax highlighting preserved"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_10","uri":"capability://tool.use.integration.freemium.backend.service.with.no.user.api.key.requirement","name":"freemium backend service with no user api key requirement","description":"Provides AI capabilities through a proprietary backend service that requires no user API key or account setup, enabling immediate use without authentication friction. The backend abstracts model access and handles billing/rate-limiting server-side, allowing free tier users to access models with usage limits and paid users to access higher-tier models or increased quotas.","intents":["Start using AI coding assistance immediately without API key setup","Avoid managing multiple API keys for different AI services","Access multiple models (GPT-4, Claude) without separate accounts","Upgrade usage limits without changing configuration"],"best_for":["Individual developers who want to try AI coding without setup friction","Teams avoiding API key management complexity","Organizations preferring vendor-managed billing over per-user API keys","Users in regions with restricted API access"],"limitations":["Backend service architecture is proprietary and undocumented; no transparency into data handling, retention, or logging","Free tier usage limits are undocumented; unclear what quotas apply to free users","No documented SLA or uptime guarantees for the backend service","Vendor lock-in risk; switching to alternative tools requires reconfiguration","Data privacy claims ('Your code not stored') are unverified; no technical documentation on encryption or retention policies"],"requires":["Active internet connection to proprietary backend service","VS Code extension installation (no additional authentication required)","Acceptance of vendor's terms of service and privacy policy"],"input_types":["code and queries (sent to backend service)"],"output_types":["AI-generated responses from backend models"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_11","uri":"capability://text.generation.language.sidebar.chat.interface.with.context.aware.conversation","name":"sidebar chat interface with context-aware conversation","description":"Provides a persistent chat panel in the VS Code sidebar that maintains conversation history and context across multiple turns. The chat interface allows developers to ask questions, request code generation, and have multi-turn conversations while keeping the code editor visible, enabling seamless context switching between coding and AI assistance.","intents":["Have multi-turn conversations about code without losing context","Ask follow-up questions about previous responses","Maintain conversation history for reference","Keep the editor visible while chatting with AI"],"best_for":["Developers who prefer chat-based interaction over inline suggestions","Complex tasks requiring multi-turn reasoning and refinement","Exploratory coding where multiple iterations are needed","Teams using chat-based collaboration tools"],"limitations":["Conversation history is session-local; no persistence across VS Code restarts (undocumented)","Context window limitations mean very long conversations may lose early context","No documented support for sharing conversations or exporting chat history","Sidebar panel takes up editor space; no documented option to collapse or hide"],"requires":["VS Code sidebar visible","Active internet connection to backend AI service"],"input_types":["natural language questions and requests","code snippets pasted into chat","selected code from editor (context passing mechanism undocumented)"],"output_types":["natural language responses","code blocks in chat","conversation history"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_12","uri":"capability://planning.reasoning.slash.command.based.agent.system.for.specialized.tasks","name":"slash command-based agent system for specialized tasks","description":"Provides a slash command interface (e.g., '/explain', '/test', '/fix') that triggers specialized AI agents optimized for specific coding tasks. Each slash command invokes a task-specific agent with pre-configured prompts and context handling, enabling developers to request specialized assistance without manually crafting detailed prompts.","intents":["Quickly invoke specialized agents for common tasks (explain, test, fix, etc.)","Reduce prompt engineering by using pre-configured task-specific agents","Discover available AI capabilities through slash command discovery","Standardize how teams request specific types of assistance"],"best_for":["Developers who prefer command-driven interfaces","Teams standardizing on specific AI workflows","Users who want to avoid crafting detailed prompts","Organizations training users on specific AI capabilities"],"limitations":["Specific slash commands are undocumented; unclear what agents are available","No documented support for custom slash commands or user-defined agents","Slash command discovery mechanism is undocumented; users may not know all available commands","Agent behavior and capabilities are fixed; no customization per user or team"],"requires":["Sidebar chat interface open","Knowledge of available slash commands (documentation needed)","Active internet connection to backend AI service"],"input_types":["slash command (e.g., '/explain')","optional: additional parameters or context"],"output_types":["task-specific AI response","formatted output appropriate to the task"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_2","uri":"capability://planning.reasoning.stack.trace.analysis.and.error.diagnosis","name":"stack trace analysis and error diagnosis","description":"Analyzes runtime error stack traces by accepting stack trace text as input and using the AI model to identify root causes, suggest fixes, and explain the error context. The extension can parse multi-line stack traces from various languages and frameworks, correlate them with the indexed codebase to provide context-aware diagnostics, and suggest remediation steps.","intents":["Understand the root cause of a runtime error from a stack trace","Get suggested fixes for common error patterns","Correlate stack trace errors with specific functions in the codebase","Accelerate debugging by automating error interpretation"],"best_for":["Developers debugging production errors or test failures","Teams with complex multi-layer applications where stack traces are difficult to interpret","Developers new to a codebase who need help understanding error context"],"limitations":["Stack trace analysis accuracy depends on stack trace format and completeness; obfuscated or minified code may not be analyzable","No documented support for custom stack trace formats; likely limited to standard language/framework formats","Analysis is one-shot; no iterative debugging session support (e.g., cannot ask follow-up questions about the same error)","Requires codebase indexing to correlate errors with source code; errors in non-indexed files may lack context"],"requires":["Stack trace text (from console, logs, or error output)","Codebase indexing enabled for context correlation","Active internet connection to backend AI service"],"input_types":["stack trace text (multi-line format)","error message text","optional: code context around error location"],"output_types":["natural language explanation of error cause","suggested code fixes or patches","links to relevant code locations in the codebase"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_3","uri":"capability://text.generation.language.code.explanation.and.documentation.generation","name":"code explanation and documentation generation","description":"Analyzes selected code or entire files and generates natural language explanations of what the code does, how it works, and why specific patterns were used. The extension can explain code at multiple levels of detail (function-level, file-level, or codebase-level) and can generate documentation in various formats (comments, docstrings, markdown).","intents":["Understand what a complex function or algorithm does without reading every line","Generate documentation for undocumented code","Create docstrings or comments for functions that lack them","Onboard new team members by explaining codebase sections"],"best_for":["Teams maintaining legacy code with minimal documentation","Developers onboarding to unfamiliar codebases","Technical writers generating API documentation from source code","Code review processes where reviewers need quick understanding of changes"],"limitations":["Explanation quality depends on code clarity; obfuscated or poorly-written code may produce confusing explanations","No documented support for generating documentation in specific formats (e.g., JSDoc, Sphinx, Doxygen); output format is likely plain text or markdown only","Explanations are generated fresh each time; no caching or persistence of explanations for reuse","Cannot explain code intent or business logic beyond what is visible in the code itself"],"requires":["Code selection or file open in editor","Active internet connection to backend AI service","Support for the code's language (24 languages documented)"],"input_types":["selected code text","entire file content","code snippets from multiple files"],"output_types":["natural language explanation","markdown-formatted documentation","code comments or docstrings","structured explanation with sections (purpose, parameters, return value, etc.)"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_4","uri":"capability://search.retrieval.method.and.file.usage.analysis.across.codebase","name":"method and file usage analysis across codebase","description":"Analyzes where and how a specific method or file is used throughout the indexed codebase by querying the codebase index for references and generating a summary of usage patterns. The extension identifies all call sites, dependency relationships, and usage contexts, then presents this information in a structured format showing how the method/file integrates with the rest of the project.","intents":["Understand the impact of changing a method signature or removing a file","Find all places where a utility function is called","Identify which modules depend on a specific file or class","Refactor code safely by knowing all usage locations before making changes"],"best_for":["Developers performing large refactorings who need to understand impact scope","Teams maintaining shared libraries or utilities","Code reviewers assessing the risk of proposed changes","Developers optimizing code by identifying heavily-used functions"],"limitations":["Analysis accuracy depends on codebase indexing completeness; unindexed files will not appear in usage results","No support for dynamic method calls or reflection-based usage; only static code analysis","Results are text-based summaries, not interactive navigation; cannot click through to usage locations from results","No documented support for cross-language usage analysis (e.g., Python calling C++ via ctypes)"],"requires":["Codebase indexing enabled and up-to-date","Method or file selection in editor","Active internet connection to backend AI service"],"input_types":["method name or function identifier","file path or class name","optional: scope restriction (e.g., 'only in tests')"],"output_types":["list of usage locations with line numbers","summary of usage patterns and contexts","dependency graph or relationship diagram (format unknown)","structured data with call sites and parameters"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_5","uri":"capability://code.generation.editing.unit.test.generation.from.code","name":"unit test generation from code","description":"Generates unit test cases for selected functions or classes by analyzing the code structure, identifying input parameters and return types, and creating test cases that cover common scenarios, edge cases, and error conditions. The extension can generate tests in the language and testing framework of the project (e.g., Jest for JavaScript, pytest for Python).","intents":["Generate test cases for untested functions quickly","Create comprehensive test coverage for new code before deployment","Generate edge case tests that might be missed in manual test writing","Accelerate TDD workflows by auto-generating test stubs"],"best_for":["Developers writing new code who want to add tests immediately","Teams with low test coverage who need to increase coverage quickly","QA engineers generating test cases from code specifications","Developers practicing test-driven development who need test scaffolding"],"limitations":["Generated tests may not cover business logic or domain-specific edge cases; they cover structural patterns only","No documented support for mocking external dependencies; generated tests may fail if they depend on external services","Test framework detection is automatic; may generate tests in wrong framework if project uses non-standard setup","Generated tests require review and modification; they are starting points, not production-ready test suites"],"requires":["Function or class selection in editor","Supported testing framework for the language (e.g., Jest, pytest, JUnit)","Active internet connection to backend AI service"],"input_types":["function or class definition","method signature with parameters and return type","optional: existing test examples for pattern matching"],"output_types":["test case code in the project's testing framework","test cases with assertions and expected values","test file template ready for insertion into test directory"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_6","uri":"capability://search.retrieval.web.integrated.information.retrieval.for.code.queries","name":"web-integrated information retrieval for code queries","description":"Augments code-related questions with real-time web browsing capability, allowing the AI model to search the internet for up-to-date information about libraries, frameworks, APIs, and best practices. When a developer asks about a library or technology, the extension can fetch current documentation, examples, and community discussions to provide the most recent information rather than relying solely on the model's training data.","intents":["Get current API documentation for a library without leaving the editor","Find recent best practices or patterns for a technology","Discover new features or breaking changes in a framework","Get real-time examples of how to use a library from community sources"],"best_for":["Developers working with rapidly-evolving libraries or frameworks","Teams adopting new technologies and needing current documentation","Developers learning new tools who need real-world examples","Technical leads researching technology decisions"],"limitations":["Web browsing adds latency to responses; no documented response time impact","Search result quality depends on web search algorithm; may return outdated or incorrect information","No documented control over web search scope (e.g., cannot restrict to official documentation only)","Web browsing may be rate-limited or disabled for free tier users (undocumented)"],"requires":["Active internet connection (both for AI service and web browsing)","Web browsing feature enabled (toggle status unknown)"],"input_types":["natural language questions about libraries, frameworks, or technologies","code snippets with library usage"],"output_types":["natural language answers with web sources cited","code examples from web sources","links to official documentation or tutorials","current best practices and recommendations"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_7","uri":"capability://tool.use.integration.multi.model.ai.backend.with.transparent.model.selection","name":"multi-model ai backend with transparent model selection","description":"Provides access to multiple AI models (GPT-4, GPT-3.5, Claude-3-Opus, Claude-3-Haiku) through a unified interface, allowing developers to choose the model that best fits their task. The extension abstracts the underlying model differences and handles model-specific API variations, enabling seamless switching between models without changing the user interface or workflow.","intents":["Use GPT-4 for complex reasoning tasks and switch to GPT-3.5 for simple queries to optimize cost","Choose Claude models for specific tasks where they perform better than OpenAI models","Experiment with different models to find the best fit for a specific coding task","Balance quality and latency by selecting appropriate models for different scenarios"],"best_for":["Developers optimizing for cost-per-query by selecting appropriate models","Teams with preferences for specific model providers (OpenAI vs. Anthropic)","Researchers comparing model performance on coding tasks","Organizations with model-specific compliance or licensing requirements"],"limitations":["Model selection mechanism is undocumented; unclear if selection is per-query, per-session, or global setting","No documented information on model availability per tier (free vs. paid); some models may be restricted","No documented fallback behavior if selected model is unavailable","Model-specific limitations (e.g., context window size, rate limits) are not exposed to the user"],"requires":["Backend service access (no user API key required, but mechanism unknown)","Active internet connection","Model availability from backend service"],"input_types":["code queries and requests","model selection preference (if configurable)"],"output_types":["responses from selected model","model metadata (name, version, capabilities)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_8","uri":"capability://code.generation.editing.ai.powered.quick.fix.suggestions.for.code.errors","name":"ai-powered quick fix suggestions for code errors","description":"Detects syntax errors, type errors, and common code issues in the editor and provides AI-powered fix suggestions that can be applied with a single click. The extension integrates with VS Code's error detection to identify problems and uses the AI model to generate contextually-appropriate fixes that respect the codebase style and conventions.","intents":["Fix syntax errors automatically without manual correction","Resolve type mismatches with suggested type conversions or corrections","Apply linting rule fixes automatically","Correct common mistakes (e.g., undefined variables, missing imports)"],"best_for":["Developers working in languages with strict type systems (TypeScript, Java, C#)","Teams with strict linting rules who want automated compliance","Rapid development scenarios where fixing errors quickly matters","Developers learning a new language who make frequent syntax mistakes"],"limitations":["Quick fix mechanism is undocumented; unclear how errors are detected (VS Code diagnostics vs. custom analysis)","No documented support for complex fixes; likely limited to simple, structural errors","Fix suggestions may not be appropriate for all contexts; require human review before application","No documented configuration for which error types trigger AI fixes"],"requires":["VS Code error detection enabled","Active internet connection to backend AI service","Code with detectable errors"],"input_types":["code with syntax or type errors","error messages from VS Code diagnostics"],"output_types":["suggested code fixes","corrected code ready for application","explanation of the fix"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-easycodeai-chatgpt-gpt4-gpt3-vscode__cap_9","uri":"capability://code.generation.editing.language.agnostic.code.understanding.across.24.languages","name":"language-agnostic code understanding across 24 languages","description":"Provides code analysis, generation, and explanation capabilities across 24 programming languages (Java, Python, TypeScript, JavaScript, HTML, C#, Lua, Go, PHP, Ruby, C++, C, H, YAML, JSON, Markdown, LaTeX, Swift, Rust, Scala, Protobuf, reStructuredText, and others) through a unified interface. The extension automatically detects the language of the selected code and applies language-specific analysis and generation strategies.","intents":["Work with multiple languages in a single project without switching tools","Generate code in languages you're less familiar with","Understand code written in unfamiliar languages","Maintain polyglot projects with consistent AI assistance across languages"],"best_for":["Developers working on polyglot projects (e.g., backend in Python, frontend in TypeScript)","Teams with diverse language stacks","Developers learning new languages","Organizations migrating code between languages"],"limitations":["Language detection is automatic; may misidentify language for ambiguous file types (e.g., .h files could be C or C++)","Support quality may vary across languages; popular languages (Python, JavaScript) likely have better support than niche languages","No documented language-specific configuration; same settings apply to all languages","Some features may not be available for all languages (e.g., test generation may not support all testing frameworks)"],"requires":["Code in one of the 24 supported languages","File extension or language hint for automatic detection","Active internet connection to backend AI service"],"input_types":["code in any of 24 supported languages","language identifier (auto-detected from file extension)"],"output_types":["code generation in the detected language","language-appropriate explanations and documentation","language-specific test cases and examples"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (minimum version unknown)","Project directory with readable file system access","Active internet connection for model inference (backend service required)","Sufficient local disk space for codebase index (size unknown)","Visual Studio Code with keybinding support","Code selection in active editor (at least one character selected)","Active internet connection to backend AI service","Active internet connection to proprietary backend service","VS Code extension installation (no additional authentication required)","Acceptance of vendor's terms of service and privacy policy"],"failure_modes":["Codebase indexing is manual — requires explicit 'GPT: Index Codebase' command invocation; no automatic re-indexing on file changes","Indexing scope and update frequency are undocumented; unclear if index becomes stale after code modifications","No documented limit on codebase size; performance degradation on very large projects (>100k files) unknown","Index is stored locally in VS Code extension state; no cross-machine synchronization for distributed teams","Keybinding CMD+E may conflict with other VS Code extensions or custom keybindings","No documented undo/rollback mechanism if inline edit produces incorrect code","Edit scope limited to selected text; cannot request edits across non-contiguous code blocks","No preview mode — edits are applied directly to the editor without review step","Backend service architecture is proprietary and undocumented; no transparency into data handling, retention, or logging","Free tier usage limits are undocumented; unclear what quotas apply to free users","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.74,"quality":0.35,"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":"2026-05-03T15:20:29.937Z","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=chatgpt-easycode","compare_url":"https://unfragile.ai/compare?artifact=chatgpt-easycode"}},"signature":"D5CrpCAfRQBPvakG5cjOsBzQb8+T7mqQrk/mM6o4y1rDNtPN5ZsL0Ra14LTDTGkr21DwlRhHF1UJBvPRXJHXCg==","signedAt":"2026-06-21T04:23:49.981Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/chatgpt-easycode","artifact":"https://unfragile.ai/chatgpt-easycode","verify":"https://unfragile.ai/api/v1/verify?slug=chatgpt-easycode","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"}}