{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-phind-phind","slug":"phindcom-chat-with-your-codebase","name":"Phind.com - Chat with your Codebase","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=phind.phind","page_url":"https://unfragile.ai/phindcom-chat-with-your-codebase","categories":["code-editors"],"tags":["ai","assistant","chatbot","chatgpt","documentation","gpt4","keybindings","openai"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-phind-phind__cap_0","uri":"capability://code.generation.editing.codebase.aware.contextual.q.a.with.sidebar.chat.interface","name":"codebase-aware contextual q&a with sidebar chat interface","description":"Answers developer questions by automatically injecting the active file, selected code blocks, and inferred project context into chat queries sent to Phind's backend LLM. The sidebar panel captures user input, routes it with embedded codebase context to a cloud-based inference service, and streams responses back into the VS Code UI. Context injection happens transparently — developers select code or ask questions, and the extension automatically includes relevant file content and project structure in the API request.","intents":["Ask questions about how specific code sections work without manually copying them into a separate chat tool","Get explanations of unfamiliar code patterns in the context of my actual project","Understand architectural decisions by querying the codebase directly from the editor","Debug issues by asking the AI about error messages while keeping full file context"],"best_for":["Solo developers and small teams working in VS Code who want AI assistance without context-switching","Developers onboarding to unfamiliar codebases who need rapid code comprehension","Teams using Phind's web search integration to combine codebase knowledge with external documentation"],"limitations":["Codebase indexing mechanism is proprietary and undocumented — unclear how large projects are handled or if there are file/token limits","All queries and chat history are sent to Phind servers by default; privacy depends on account-level 'No Data Retention' toggle which must be manually enabled","Context injection scope is unknown — unclear if extension can access files outside workspace root or in monorepo parent directories","No control over which LLM model processes queries; Phind backend model is not disclosed and cannot be customized"],"requires":["VS Code (version requirement unknown)","Active Phind account (free signup required, freemium pricing model)","Internet connectivity to reach Phind cloud backend","Code selection or active editor file for context to be meaningful"],"input_types":["natural language questions","selected code blocks from editor","active file content (automatic)","optional @filename references for explicit file inclusion","optional @web_search directive for internet augmentation"],"output_types":["natural language explanations","code snippets","markdown-formatted responses with syntax highlighting"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_1","uri":"capability://code.generation.editing.tab.completion.with.codebase.awareness","name":"tab-completion with codebase awareness","description":"Provides inline code completion suggestions triggered by pressing Tab, with suggestions informed by the current file and broader codebase context. The extension intercepts Tab key presses in the editor, sends the current cursor position and surrounding code to Phind's backend, and receives completion suggestions that are inserted directly into the editor. This operates as an alternative to VS Code's built-in IntelliSense, augmented with AI-driven codebase understanding rather than static symbol analysis.","intents":["Complete code faster by leveraging AI understanding of project patterns and conventions","Reduce typing for repetitive code structures that follow project-specific patterns","Discover idiomatic ways to write code based on existing codebase examples","Speed up boilerplate generation for common project patterns"],"best_for":["Developers in projects with strong stylistic conventions or domain-specific patterns","Teams using Phind who want a unified AI assistant (chat + completion in one extension)","Developers comfortable with cloud-based completion (latency trade-off for context awareness)"],"limitations":["Must be explicitly enabled via Command Palette — not enabled by default, suggesting potential latency or reliability concerns","Completion latency is unknown; cloud round-trip to Phind backend likely introduces 200-500ms delay vs local IntelliSense","No documentation of completion accuracy, ranking strategy, or how codebase context is weighted in suggestions","Cannot be customized or fine-tuned to project-specific patterns; suggestions are generic to Phind's training data","Completion suggestions are not cached — every Tab press triggers a cloud request, creating potential rate-limiting or quota issues"],"requires":["VS Code (version requirement unknown)","Active Phind account with tab completion explicitly enabled","Internet connectivity for each completion request","Stable network latency acceptable for interactive editing (likely 200-500ms per completion)"],"input_types":["current cursor position in editor","surrounding code context (file and inferred project context)","partial code token at cursor"],"output_types":["code completion suggestions (single or multiple options)","directly inserted code into editor on Tab press"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_10","uri":"capability://tool.use.integration.cloud.based.inference.with.undisclosed.backend.model.and.architecture","name":"cloud-based inference with undisclosed backend model and architecture","description":"All AI queries are processed by Phind's proprietary cloud backend, which uses an undisclosed LLM model and inference architecture. The extension acts as a thin client that captures context, sends it to Phind servers, and displays responses. The backend model, inference latency, and scaling characteristics are not documented, creating a black-box dependency on Phind's infrastructure.","intents":["Leverage Phind's optimized inference infrastructure without managing local models","Access a pre-trained model without downloading or fine-tuning","Benefit from Phind's codebase indexing and retrieval system (mechanism unknown)"],"best_for":["Developers who want AI assistance without managing local infrastructure","Teams who trust Phind's backend and are comfortable with cloud dependencies","Developers in environments where local GPU resources are unavailable"],"limitations":["Backend model is not disclosed — developers cannot verify model capabilities, training data, or potential biases","No model selection or customization — developers cannot choose between different models or fine-tune for their domain","Inference latency is unknown — no documentation of response times, which impacts interactive workflows","Codebase indexing mechanism is proprietary and undocumented — unclear how large projects are handled or if there are limits","Cloud dependency creates single point of failure — if Phind servers are down, the extension is unusable","No on-premises or self-hosted option — all data must be sent to Phind servers, which may violate compliance requirements","Inference costs are opaque — freemium model may have hidden quotas or rate limits not documented in the extension"],"requires":["Internet connectivity to Phind cloud backend","Active Phind account","Trust in Phind's infrastructure and data handling practices"],"input_types":["code context (files, selections, diagnostics)","natural language queries"],"output_types":["AI-generated responses (text, code suggestions)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_11","uri":"capability://memory.knowledge.automatic.context.injection.from.active.editor.file.and.selections","name":"automatic context injection from active editor file and selections","description":"The extension automatically captures the active editor file content and any selected code, then injects this context into queries sent to Phind's backend without requiring explicit user action. This happens transparently — developers ask questions or trigger actions, and the extension automatically includes relevant file content in the API request. The context injection scope is undocumented, making it unclear if the entire file is sent or if intelligent truncation is applied.","intents":["Ask questions about code without manually copying it into the chat","Get AI suggestions that are aware of the current file context","Reduce friction in the AI-assisted workflow by eliminating copy-paste steps"],"best_for":["Developers who want seamless context injection without manual copy-paste","Teams using Phind as a primary development assistant","Developers working with large files where manual context selection is tedious"],"limitations":["Context injection scope is undocumented — unclear if entire files are sent or if intelligent truncation is applied","No preview of injected context — developers cannot see what context is being sent to Phind before the query is processed","No control over context scope — developers cannot exclude parts of the file or limit context size","Large files may exceed token limits — no documentation of how Phind handles files larger than the model's context window","Context is sent to Phind servers — sensitive code is exposed without explicit developer consent (privacy risk)"],"requires":["VS Code (version requirement unknown)","Active editor file or code selection","Internet connectivity to reach Phind backend"],"input_types":["active editor file content (automatic)","selected code blocks (automatic)"],"output_types":["AI responses informed by injected context"],"categories":["memory-knowledge","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_2","uri":"capability://code.generation.editing.inline.code.rewriting.with.keyboard.shortcut","name":"inline code rewriting with keyboard shortcut","description":"Allows developers to select code and trigger inline rewriting via Ctrl/Cmd+Shift+M, which sends the selection to Phind's backend with an implicit or explicit instruction to refactor/rewrite the code. The AI-generated replacement is inserted directly into the editor, replacing the original selection. This enables rapid code transformation without leaving the editor or manually copying code to a chat interface.","intents":["Refactor selected code to improve readability, performance, or style without manual rewriting","Convert code between different patterns or paradigms (e.g., callback to async/await)","Apply linting or style fixes to code blocks without running separate tools","Simplify complex code logic by asking the AI to rewrite it more idiomatically"],"best_for":["Developers who want rapid refactoring without context-switching to chat or external tools","Teams using Phind as a unified code assistant (chat + completion + rewriting)","Developers comfortable with AI-generated code changes (requires review before committing)"],"limitations":["No explicit instruction mechanism — the rewrite instruction is implicit (likely 'improve this code'), so developers cannot specify refactoring goals (e.g., 'convert to async/await' or 'optimize for performance')","No undo integration documented — if the rewrite is undesirable, developers must manually undo (Ctrl+Z) and try again","No diff preview before insertion — the replacement is inserted directly, requiring careful review","Rewrite quality depends on Phind's backend model and is not customizable or fine-tunable","No support for multi-file refactoring — only single selections can be rewritten at once"],"requires":["VS Code (version requirement unknown)","Active Phind account","Code selection in editor (Ctrl/Cmd+Shift+M only works with selected text)","Internet connectivity to reach Phind backend"],"input_types":["selected code block from editor"],"output_types":["rewritten code inserted directly into editor (replaces selection)"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_3","uri":"capability://code.generation.editing.error.diagnosis.and.fixing.from.editor.warnings.and.terminal.output","name":"error diagnosis and fixing from editor warnings and terminal output","description":"Captures underlined errors/warnings in the VS Code editor and terminal output (via Ctrl/Cmd+Shift+L), sends them to Phind's backend with surrounding code context, and receives suggested fixes that can be applied inline. The extension integrates with VS Code's diagnostic system to identify errors and allows developers to query the AI about fixes without manually describing the problem.","intents":["Get AI-suggested fixes for compiler/linter errors without manually describing the problem","Understand why code is failing by asking the AI about error messages in context","Quickly fix runtime errors by analyzing terminal output and suggesting corrections","Debug issues by correlating error messages with surrounding code context"],"best_for":["Developers debugging unfamiliar error messages or working in unfamiliar languages","Teams using Phind as a unified debugging assistant","Developers who want to understand errors before applying fixes (chat-based explanation)"],"limitations":["Terminal output capture mechanism is undocumented — unclear how much context is captured or if multi-line errors are fully included","Error diagnosis is only as good as Phind's backend model — no guarantee of correct fixes, especially for complex or domain-specific errors","No integration with language-specific linters or type checkers — suggestions are generic AI-generated fixes, not tool-specific recommendations","Suggested fixes must be manually reviewed and applied — no automatic application or validation","No feedback loop — if a suggested fix doesn't work, developers must manually iterate with the AI"],"requires":["VS Code (version requirement unknown)","Active Phind account","Errors/warnings visible in editor or terminal output","Internet connectivity to reach Phind backend"],"input_types":["editor diagnostics (underlined errors/warnings)","terminal output (captured via Ctrl/Cmd+Shift+L)","surrounding code context from active file"],"output_types":["natural language explanations of errors","suggested code fixes","debugging guidance"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_4","uri":"capability://search.retrieval.web.search.augmentation.for.queries.via.web.search.directive","name":"web search augmentation for queries via @web_search directive","description":"Allows developers to append @web_search to chat queries, which instructs Phind's backend to augment the response with internet search results before generating an answer. This combines codebase context with external documentation, API references, and Stack Overflow answers in a single response. The search is performed server-side by Phind, and results are synthesized into the AI response.","intents":["Find external documentation or API references while asking about codebase usage","Combine codebase context with Stack Overflow answers or blog posts for problem-solving","Research best practices or patterns while referencing project-specific code","Discover library versions, deprecations, or alternatives while working in the editor"],"best_for":["Developers working with unfamiliar libraries or APIs who want to combine codebase context with external documentation","Teams using Phind for research-heavy development tasks (e.g., integrating new dependencies)","Developers who want a single unified interface for codebase + web search (vs switching between editor and browser)"],"limitations":["Web search results are not shown separately — they are synthesized into the AI response, making it unclear which information comes from the codebase vs the web","Search quality and freshness are unknown — no documentation of which search engine is used or how results are ranked","No control over search scope or filters — developers cannot specify date ranges, domains, or result types","Web search may introduce hallucinations or outdated information if Phind's synthesis is poor","Search results are not cached — every @web_search query triggers a new search, potentially creating rate-limiting issues"],"requires":["VS Code (version requirement unknown)","Active Phind account","Internet connectivity for web search","@web_search directive appended to query in chat"],"input_types":["natural language query with @web_search directive","codebase context (automatic)","selected code (optional)"],"output_types":["synthesized response combining codebase context and web search results","natural language explanation with external references"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_5","uri":"capability://memory.knowledge.explicit.file.referencing.via.filename.syntax","name":"explicit file referencing via @filename syntax","description":"Allows developers to reference specific files in chat queries using @filename or @files syntax, which instructs Phind to include those files' content in the context sent to the backend. This enables precise control over which codebase files are included in the AI's context, useful for multi-file refactoring, cross-file dependency analysis, or focusing on specific modules without including the entire codebase.","intents":["Ask about relationships between specific files without including the entire codebase context","Refactor multiple related files by explicitly including them in a single query","Analyze cross-file dependencies or data flow by referencing specific modules","Reduce context noise by including only relevant files instead of the entire project"],"best_for":["Developers working on multi-file refactoring or architectural changes","Teams with large codebases who want to control context scope to avoid token limits or latency","Developers analyzing cross-file dependencies or data flow"],"limitations":["File reference syntax is undocumented — unclear if @filename supports wildcards, relative paths, or absolute paths","No validation or error handling documented — unclear what happens if a referenced file doesn't exist or is outside the workspace","File content is still sent to Phind servers — no local-only processing, so sensitive code is exposed","No UI for file selection — developers must manually type file names, which is error-prone in large projects","No indication of how many files can be referenced or total token limits for context"],"requires":["VS Code (version requirement unknown)","Active Phind account","Knowledge of file paths relative to workspace root","Internet connectivity to reach Phind backend"],"input_types":["natural language query with @filename or @files directives","file paths (relative to workspace root, syntax undocumented)"],"output_types":["responses informed by specified file content","code suggestions or explanations scoped to referenced files"],"categories":["memory-knowledge","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_6","uri":"capability://memory.knowledge.chat.history.persistence.and.management.with.server.side.storage","name":"chat history persistence and management with server-side storage","description":"Stores all chat conversations on Phind servers by default, allowing developers to retrieve and continue previous conversations. The extension provides a 'Delete All History' button in the UI for manual deletion, and a 'No Data Retention' toggle in account settings on phind.com to disable future storage. This enables conversation continuity across sessions but trades off privacy by default.","intents":["Review previous questions and answers about the codebase without re-asking","Continue debugging or refactoring sessions across multiple editor sessions","Build institutional knowledge by referencing past conversations with the AI","Audit what questions were asked about the codebase for compliance or learning purposes"],"best_for":["Individual developers who want to maintain a searchable history of codebase questions","Teams using Phind for knowledge management (though privacy concerns may limit adoption)","Developers who frequently context-switch and need to resume conversations"],"limitations":["Privacy is opt-out, not opt-in — all chats are stored by default, requiring manual account-level configuration to disable","No granular privacy controls — the 'No Data Retention' toggle is all-or-nothing; developers cannot selectively delete sensitive conversations","Previously saved chats must be manually deleted — disabling 'No Data Retention' does not retroactively delete existing history","No documentation of data retention policies, encryption, or access controls on Phind servers","Chat history is tied to Phind account — no export functionality documented, making it difficult to migrate or archive conversations","Freemium model may incentivize Phind to retain data for analytics or model training (not explicitly disclosed)"],"requires":["VS Code (version requirement unknown)","Active Phind account (free signup required)","Internet connectivity to reach Phind backend","Acceptance of server-side storage by default (privacy risk)"],"input_types":["chat queries and responses (automatic storage)"],"output_types":["retrievable chat history in sidebar","ability to resume previous conversations"],"categories":["memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_7","uri":"capability://automation.workflow.keyboard.driven.context.capture.and.query.triggering","name":"keyboard-driven context capture and query triggering","description":"Provides multiple keyboard shortcuts (Ctrl/Cmd+I, Ctrl/Cmd+Shift+I, Ctrl/Cmd+Shift+M, Ctrl/Cmd+Shift+L, Ctrl/Cmd+Shift+J) that trigger different AI actions with automatic context injection. Each shortcut captures different context (selected code, active file, terminal output) and routes it to the appropriate AI action (chat, rewrite, error analysis). This enables rapid context capture without manual copy-paste or UI navigation.","intents":["Quickly ask questions about selected code without manually copying to chat","Trigger code rewriting with a single keystroke","Analyze terminal errors without manually describing the problem","Toggle the Phind sidebar without using the mouse"],"best_for":["Power users and developers who prefer keyboard-driven workflows","Teams using Phind as a primary development tool (keyboard shortcuts reduce friction)","Developers in remote or SSH environments where mouse input may be limited"],"limitations":["Keyboard shortcuts may conflict with existing VS Code keybindings or other extensions — no documented conflict resolution","Shortcuts are not customizable — developers cannot rebind them to preferred keys","Context capture is implicit and automatic — developers cannot preview or modify context before sending to Phind","No documentation of which shortcuts work in which contexts (e.g., does Ctrl/Cmd+I work without a selection?)","Shortcut discoverability is poor — developers must memorize or look up shortcuts; no in-editor hints or help"],"requires":["VS Code (version requirement unknown)","Active Phind account","Memorization or documentation of keyboard shortcuts","No conflicting keybindings from other extensions"],"input_types":["keyboard input (shortcuts)","editor context (selection, active file, terminal output)"],"output_types":["triggered AI actions (chat, rewrite, error analysis)","automatic context injection into queries"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_8","uri":"capability://tool.use.integration.freemium.pricing.model.with.account.based.access.control","name":"freemium pricing model with account-based access control","description":"Phind offers free access to the extension with a Phind account (free signup), with premium features or usage limits implied but not explicitly documented. The freemium model ties all functionality to account authentication, enabling Phind to track usage, enforce quotas, and upsell premium features. No pricing tiers or feature differences are documented in the extension itself.","intents":["Use Phind as a free AI coding assistant without upfront cost","Evaluate Phind's capabilities before committing to a paid plan","Access basic codebase Q&A, completion, and refactoring without payment"],"best_for":["Solo developers and small teams evaluating AI coding assistants","Developers who want to try Phind before committing to paid plans","Open-source projects or non-commercial use cases"],"limitations":["Pricing tiers and feature differences are not documented in the extension — developers must visit phind.com to understand paid plans","No documented usage limits or quotas — unclear if free tier has rate limits or monthly query limits","Account requirement creates friction — developers must sign up and authenticate before using the extension","Freemium model incentivizes data collection — all chats are stored by default, suggesting Phind may use data for model training or analytics","No offline mode — free tier requires internet connectivity and Phind account, limiting use in restricted environments"],"requires":["Free Phind account (signup required)","Internet connectivity to reach Phind backend","Acceptance of account-based authentication and data storage"],"input_types":["account credentials (email/password or OAuth)"],"output_types":["authenticated access to Phind extension features"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-phind-phind__cap_9","uri":"capability://text.generation.language.vs.code.sidebar.panel.ui.with.persistent.chat.interface","name":"vs code sidebar panel ui with persistent chat interface","description":"Provides a dedicated sidebar panel in VS Code that displays the Phind chat interface, with an input box at the bottom for queries and a scrollable conversation history above. The panel persists across editor sessions and can be toggled via Ctrl/Cmd+Shift+J. This keeps the AI assistant always accessible without requiring a separate window or application.","intents":["Keep the AI assistant visible while coding without context-switching to a separate window","Maintain conversation history in the editor sidebar for easy reference","Ask follow-up questions without manually re-entering context","Integrate AI assistance into the primary development workflow"],"best_for":["Developers who prefer integrated tools over separate applications","Teams using Phind as a primary development assistant","Developers with limited screen space who want to avoid additional windows"],"limitations":["Sidebar panel reduces editor width — developers with small screens may find the panel intrusive","Panel state is not documented — unclear if panel state (open/closed) persists across VS Code restarts","No customization of panel layout or size — developers cannot resize or reposition the panel","Chat history is not searchable within the panel — developers must scroll to find previous conversations","No markdown rendering or syntax highlighting in responses — unclear if code blocks are formatted"],"requires":["VS Code (version requirement unknown)","Active Phind account","Sufficient screen width to accommodate sidebar panel"],"input_types":["text input in sidebar input box","keyboard shortcuts to toggle panel visibility"],"output_types":["chat responses displayed in sidebar panel","persistent conversation history"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["VS Code (version requirement unknown)","Active Phind account (free signup required, freemium pricing model)","Internet connectivity to reach Phind cloud backend","Code selection or active editor file for context to be meaningful","Active Phind account with tab completion explicitly enabled","Internet connectivity for each completion request","Stable network latency acceptable for interactive editing (likely 200-500ms per completion)","Internet connectivity to Phind cloud backend","Active Phind account","Trust in Phind's infrastructure and data handling practices"],"failure_modes":["Codebase indexing mechanism is proprietary and undocumented — unclear how large projects are handled or if there are file/token limits","All queries and chat history are sent to Phind servers by default; privacy depends on account-level 'No Data Retention' toggle which must be manually enabled","Context injection scope is unknown — unclear if extension can access files outside workspace root or in monorepo parent directories","No control over which LLM model processes queries; Phind backend model is not disclosed and cannot be customized","Must be explicitly enabled via Command Palette — not enabled by default, suggesting potential latency or reliability concerns","Completion latency is unknown; cloud round-trip to Phind backend likely introduces 200-500ms delay vs local IntelliSense","No documentation of completion accuracy, ranking strategy, or how codebase context is weighted in suggestions","Cannot be customized or fine-tuned to project-specific patterns; suggestions are generic to Phind's training data","Completion suggestions are not cached — every Tab press triggers a cloud request, creating potential rate-limiting or quota issues","Backend model is not disclosed — developers cannot verify model capabilities, training data, or potential biases","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.64,"quality":0.34,"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":"2026-05-03T15:20:35.026Z","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=phindcom-chat-with-your-codebase","compare_url":"https://unfragile.ai/compare?artifact=phindcom-chat-with-your-codebase"}},"signature":"ysc78Y0aYX0H9jcJ8sS2foKIBcG457zaRjLWjc5Ny1xPfvY8cxSWRHDeq13jjKq5vZr42vY+2aKitVTALBa8Cw==","signedAt":"2026-06-19T14:03:23.333Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/phindcom-chat-with-your-codebase","artifact":"https://unfragile.ai/phindcom-chat-with-your-codebase","verify":"https://unfragile.ai/api/v1/verify?slug=phindcom-chat-with-your-codebase","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"}}