{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-salesforce-salesforcedx-einstein-gpt","slug":"agentforce-vibes","name":"Agentforce Vibes","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=salesforce.salesforcedx-einstein-gpt","page_url":"https://unfragile.ai/agentforce-vibes","categories":["code-editors"],"tags":["keybindings"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_0","uri":"capability://code.generation.editing.apex.code.autocompletion.with.inline.suggestions","name":"apex code autocompletion with inline suggestions","description":"Generates contextual code completion suggestions for Apex language as developers type, integrated directly into VS Code's editor via IntelliSense enhancement. The extension analyzes the current file context and leverages Salesforce's proprietary SFR model combined with premium third-party models to predict and suggest next tokens, method signatures, and code patterns specific to Salesforce Platform APIs and Apex syntax.","intents":["I want autocomplete suggestions for Apex methods and syntax as I write code","I need to quickly discover available Salesforce API methods without leaving the editor","I want to reduce boilerplate typing for common Apex patterns like SOQL queries and DML operations"],"best_for":["Salesforce developers writing Apex code in VS Code","Teams migrating from Salesforce IDE to VS Code","Solo developers building Salesforce Platform applications"],"limitations":["Output is nondeterministic — same code context may produce different suggestions on different invocations","Suggestions can be inaccurate or syntactically invalid; developers must review and validate all generated code","Context limited to current file; does not analyze multi-file dependencies or custom classes in other files","No explicit control over suggestion frequency or filtering — all suggestions are presented to the user"],"requires":["Visual Studio Code (minimum version not specified in documentation)","Salesforce Extensions for VS Code installed","Active Salesforce org connection via VS Code Salesforce extension","Agentforce Vibes extension enabled in the Salesforce org"],"input_types":["Apex source code (current file context)","Partial code tokens (incomplete statements, method calls)"],"output_types":["Apex code suggestions (single or multiple alternatives)","Method signatures with parameter hints","Code snippets for common patterns"],"categories":["code-generation-editing","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_1","uri":"capability://code.generation.editing.lightning.web.component.lwc.code.generation.and.completion","name":"lightning web component (lwc) code generation and completion","description":"Generates and completes code for Lightning Web Components across JavaScript, HTML, and CSS languages. The extension understands LWC-specific patterns (component lifecycle hooks, reactive properties, event handling) and suggests implementations for component templates, event handlers, and styling. Works through inline autocompletion and integrates with VS Code's multi-language IntelliSense for web technologies.","intents":["I want to scaffold a new LWC component with boilerplate HTML, JavaScript, and CSS structure","I need help implementing LWC lifecycle hooks like connectedCallback and disconnectedCallback","I want suggestions for reactive property bindings and event handlers in LWC templates"],"best_for":["Salesforce developers building Lightning Web Components","Frontend developers new to LWC patterns transitioning from standard web frameworks","Teams standardizing on LWC for Salesforce UI development"],"limitations":["Suggestions are nondeterministic and may not follow team coding standards or design patterns","No awareness of custom LWC components defined in the same project — suggestions based on standard LWC APIs only","Cannot validate component compatibility with Salesforce Lightning Experience or Community Cloud at suggestion time","CSS suggestions may not account for Salesforce Lightning Design System (SLDS) token constraints"],"requires":["Visual Studio Code (minimum version not specified)","Salesforce Extensions for VS Code","LWC project structure with proper metadata files","Active Salesforce org connection"],"input_types":["JavaScript source code (LWC component class)","HTML template files (.html)","CSS stylesheets (.css)"],"output_types":["JavaScript code (component class methods, properties, lifecycle hooks)","HTML markup (template bindings, event handlers)","CSS rules (component styling)"],"categories":["code-generation-editing","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_2","uri":"capability://text.generation.language.agentic.chat.interface.for.natural.language.programming.assistance","name":"agentic chat interface for natural language programming assistance","description":"Provides a sidebar chat interface where developers can ask natural language questions about Salesforce development, Apex code patterns, LWC implementation, and Salesforce automation workflows. The extension operates as an autonomous agent that interprets developer intent, generates contextual responses, and can provide code suggestions, explanations, and guidance without explicit step-by-step prompting. Leverages Salesforce's SFR model and premium third-party models to maintain conversation context and produce multi-turn dialogue.","intents":["I want to ask questions about Apex syntax or Salesforce API usage in natural language and get code examples","I need help designing a Salesforce automation workflow or understanding how to implement a feature","I want to explain a problem in plain English and get suggestions for how to solve it in code"],"best_for":["Salesforce developers learning Apex or LWC patterns","Teams using AI-assisted pair programming for Salesforce development","Developers unfamiliar with Salesforce Platform APIs seeking guidance"],"limitations":["Responses are nondeterministic and may vary significantly across identical queries","Agent can produce inaccurate, incomplete, or harmful code suggestions — user assumes full responsibility for validation and deployment","No persistent conversation history across sessions (unclear if chat history is retained within a session)","Agent has no access to org-specific metadata, custom objects, or business logic — suggestions are generic to Salesforce Platform","No explicit rate limiting or usage quotas documented; unclear if there are throttling mechanisms"],"requires":["Visual Studio Code (minimum version not specified)","Salesforce Extensions for VS Code","Agentforce Vibes extension installed and enabled","Active Salesforce org connection","Chat interface activation method not documented (likely Command Palette or sidebar button)"],"input_types":["Natural language text queries","Code snippets pasted into chat (implicit support)","Contextual references to current file (unclear if automatic)"],"output_types":["Natural language explanations","Code suggestions and examples","Multi-turn dialogue responses","Guidance on Salesforce patterns and best practices"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_3","uri":"capability://code.generation.editing.soql.query.generation.and.suggestion","name":"soql query generation and suggestion","description":"Generates and suggests SOQL (Salesforce Object Query Language) queries based on natural language intent or partial query context. The extension understands Salesforce object relationships, field types, and query syntax, providing autocomplete for object names, field references, and WHERE clause conditions. Integrates with inline completion to suggest complete or partial SOQL statements as developers type.","intents":["I want to write a SOQL query to fetch records from a custom object with specific field filters","I need autocomplete suggestions for field names and object relationships in a SOQL query","I want to generate a SOQL query from a natural language description of what data I need"],"best_for":["Salesforce developers writing Apex code with embedded SOQL queries","Developers new to SOQL syntax seeking guidance on query structure","Teams standardizing SOQL patterns across Apex codebases"],"limitations":["Suggestions are nondeterministic and may not reflect actual org schema or field availability","No real-time validation against org metadata — suggestions may reference non-existent objects or fields","Cannot optimize queries for performance or suggest indexes","No awareness of field-level security (FLS) or sharing rules — may suggest queries that would fail at runtime due to permissions","Limited to standard SOQL syntax; no support for SOQL for Analytics or other SOQL variants"],"requires":["Visual Studio Code (minimum version not specified)","Salesforce Extensions for VS Code","Agentforce Vibes extension enabled","Active Salesforce org connection (for metadata context, though not explicitly required)"],"input_types":["Partial SOQL query text","Natural language query intent (via chat interface)","Object and field name references"],"output_types":["Complete or partial SOQL query statements","Field name suggestions","WHERE clause condition templates"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_4","uri":"capability://code.generation.editing.salesforce.automation.workflow.guidance.and.code.generation","name":"salesforce automation workflow guidance and code generation","description":"Provides natural language assistance and code generation for Salesforce automation features including Flows, Process Builder, Apex triggers, and declarative automation. The extension can explain automation concepts, suggest implementation approaches, and generate boilerplate code for common automation patterns. Accessed through the agentic chat interface, allowing developers to describe automation requirements in plain English and receive implementation guidance.","intents":["I want to understand how to implement a complex automation workflow using Flows or Apex triggers","I need help deciding between declarative automation (Flows) and code-based automation (Apex triggers) for a use case","I want to generate boilerplate code for a trigger that updates related records or enforces business logic"],"best_for":["Salesforce administrators and developers implementing automation","Teams transitioning from Process Builder to Flows","Developers building complex trigger logic for business process automation"],"limitations":["Suggestions may not align with org-specific business logic or data model","No awareness of existing automation in the org — may suggest redundant or conflicting automations","Cannot validate automation logic against org configuration or data constraints","Recommendations are nondeterministic and may vary in quality or completeness","No explicit guidance on automation best practices, governor limits, or performance implications"],"requires":["Visual Studio Code (minimum version not specified)","Salesforce Extensions for VS Code","Agentforce Vibes extension enabled","Active Salesforce org connection"],"input_types":["Natural language descriptions of automation requirements","Partial Apex trigger code","Questions about automation patterns and best practices"],"output_types":["Apex trigger code templates","Explanations of automation concepts and patterns","Recommendations for declarative vs code-based automation","Guidance on implementing specific automation scenarios"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_5","uri":"capability://automation.workflow.org.level.ai.enablement.and.default.activation","name":"org-level ai enablement and default activation","description":"Automatically enables Agentforce Vibes capabilities across a Salesforce org by default, allowing all developers with VS Code access to use the extension without per-user activation or configuration. The extension integrates with Salesforce org authentication (via Salesforce Extensions for VS Code) to establish secure, org-scoped access to AI models. Data transmission and model access are governed by org-level settings and Salesforce's data handling policies.","intents":["I want to enable AI-assisted development for my entire development team without individual configuration","I need to ensure all developers in my org have access to Agentforce Vibes without managing per-user licenses","I want to control AI feature availability at the org level rather than per-developer"],"best_for":["Salesforce org administrators managing developer tooling","Teams with multiple developers using VS Code for Salesforce development","Organizations standardizing on AI-assisted development practices"],"limitations":["Enablement mechanism and org-level configuration options not documented","No explicit controls documented for disabling specific AI features or limiting usage per user","Data transmission scope unclear — extent of data sent to Salesforce or third-party models not specified","No documented audit trail or logging of AI usage at org level","Unclear if org-level settings can enforce code review or approval workflows for AI-generated code"],"requires":["Active Salesforce org","Salesforce Extensions for VS Code installed","Org administrator access to enable/disable extension (mechanism not documented)","Compliance with Salesforce Acceptable Use Policy and AI Acceptable Use Policy"],"input_types":["Org configuration settings (implicit)","Developer authentication via Salesforce org"],"output_types":["Extension availability status per org","AI feature access per developer"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_6","uri":"capability://safety.moderation.secure.data.handling.with.customer.data.protection","name":"secure data handling with customer data protection","description":"Implements data handling policies that explicitly prevent customer data from being used for model training or improvement. The extension transmits code and queries to Salesforce's SFR model and premium third-party models, but enforces contractual commitments that customer data remains isolated and is not retained for training purposes. Data handling is governed by Salesforce's data protection agreements and AI Acceptable Use Policy.","intents":["I want to use AI-assisted development without risking my proprietary code or business logic being used for model training","I need assurance that my org's data and code are protected and not shared for AI model improvement","I want to comply with data protection regulations while using AI development tools"],"best_for":["Organizations with strict data protection requirements","Teams handling sensitive business logic or proprietary code","Enterprises subject to regulatory compliance (HIPAA, GDPR, SOC 2)"],"limitations":["Data transmission scope not explicitly documented — unclear what data is sent to models and what is retained","No explicit controls for data residency or regional model hosting","Audit trail and logging of data transmission not documented","Reliance on Salesforce's contractual commitments rather than technical enforcement (e.g., no client-side encryption or local-only processing)","Third-party model providers' data handling policies not specified — unclear if premium third-party models have same protections"],"requires":["Agreement to Salesforce Program Agreement and Salesforce Developers Program Terms","Acceptance of Additional Terms of Use for Agentforce Vibes Extension","Compliance with Salesforce Acceptable Use Policy and AI Acceptable Use Policy","Active Salesforce org with data protection agreements in place"],"input_types":["Apex code","LWC code","SOQL queries","Natural language queries in chat"],"output_types":["Assurance of data non-use for training (contractual)","Compliance documentation"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_7","uri":"capability://code.generation.editing.multi.model.inference.with.salesforce.sfr.and.premium.third.party.models","name":"multi-model inference with salesforce sfr and premium third-party models","description":"Routes code generation and completion requests to a combination of Salesforce's proprietary SFR model (trained on Salesforce Platform patterns) and premium third-party models (specific providers not documented). The extension abstracts model selection and routing, allowing developers to benefit from both domain-specific (SFR) and general-purpose (third-party) model capabilities without explicit model selection. Model selection strategy and fallback behavior not documented.","intents":["I want to leverage both Salesforce-specific knowledge and general coding expertise in my AI suggestions","I want the best possible code suggestions by combining multiple AI models","I want to benefit from Salesforce's proprietary training without sacrificing general coding capability"],"best_for":["Salesforce developers seeking high-quality, domain-aware code suggestions","Teams using Salesforce Platform with diverse coding patterns (Apex, LWC, general utilities)","Organizations wanting to maximize AI suggestion quality without managing multiple tools"],"limitations":["Specific third-party models not documented — unclear which providers or models are used","Model selection strategy not transparent — unclear how requests are routed between SFR and third-party models","No user control over model selection or weighting — developers cannot prefer one model over another","Fallback behavior unclear — unknown how extension handles model failures or rate limiting","No documentation of model-specific latency or quality trade-offs","Unclear if model selection varies by request type (e.g., Apex vs LWC vs general code)"],"requires":["Visual Studio Code (minimum version not specified)","Salesforce Extensions for VS Code","Agentforce Vibes extension enabled","Active Salesforce org connection","Network connectivity to Salesforce and third-party model providers"],"input_types":["Apex code","LWC code (JavaScript, HTML, CSS)","SOQL queries","Natural language queries"],"output_types":["Code suggestions from SFR model","Code suggestions from third-party models","Blended or ranked suggestions"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-salesforce-salesforcedx-einstein-gpt__cap_8","uri":"capability://safety.moderation.code.review.and.validation.responsibility.delegation","name":"code review and validation responsibility delegation","description":"Explicitly delegates responsibility for validating and reviewing AI-generated code to developers, with clear warnings that AI output is nondeterministic, can be inaccurate, and may produce harmful code. The extension does not provide automated code validation, security scanning, or quality checks — developers must manually review all suggestions before use. This design pattern shifts quality assurance burden to the user rather than the tool.","intents":["I understand that I must review all AI-generated code before deploying it to production","I want clear expectations about AI code quality and my responsibility for validation","I need to establish code review processes that account for AI-generated suggestions"],"best_for":["Development teams with established code review processes","Organizations with strong quality assurance practices","Teams comfortable with AI-assisted development and willing to validate suggestions"],"limitations":["No automated code quality checks or security scanning — all validation is manual","No integration with linting, testing, or CI/CD tools to validate suggestions","No explicit guidance on what to look for in code review (security, performance, correctness)","Nondeterministic output means same code context produces different suggestions — difficult to establish consistent review criteria","No audit trail of which suggestions were accepted vs rejected — unclear how to track AI suggestion quality over time"],"requires":["Developer discipline and code review expertise","Established code review process in the team","Understanding of Salesforce best practices and security patterns","Acceptance of responsibility for AI-generated code quality"],"input_types":["AI-generated code suggestions","Developer review and validation"],"output_types":["Validated code ready for deployment","Rejected or modified suggestions"],"categories":["safety-moderation","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"moderate","permissions":["Visual Studio Code (minimum version not specified in documentation)","Salesforce Extensions for VS Code installed","Active Salesforce org connection via VS Code Salesforce extension","Agentforce Vibes extension enabled in the Salesforce org","Visual Studio Code (minimum version not specified)","Salesforce Extensions for VS Code","LWC project structure with proper metadata files","Active Salesforce org connection","Agentforce Vibes extension installed and enabled","Chat interface activation method not documented (likely Command Palette or sidebar button)"],"failure_modes":["Output is nondeterministic — same code context may produce different suggestions on different invocations","Suggestions can be inaccurate or syntactically invalid; developers must review and validate all generated code","Context limited to current file; does not analyze multi-file dependencies or custom classes in other files","No explicit control over suggestion frequency or filtering — all suggestions are presented to the user","Suggestions are nondeterministic and may not follow team coding standards or design patterns","No awareness of custom LWC components defined in the same project — suggestions based on standard LWC APIs only","Cannot validate component compatibility with Salesforce Lightning Experience or Community Cloud at suggestion time","CSS suggestions may not account for Salesforce Lightning Design System (SLDS) token constraints","Responses are nondeterministic and may vary significantly across identical queries","Agent can produce inaccurate, incomplete, or harmful code suggestions — user assumes full responsibility for validation and deployment","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.77,"quality":0.28,"ecosystem":0.18,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:29.937Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=agentforce-vibes","compare_url":"https://unfragile.ai/compare?artifact=agentforce-vibes"}},"signature":"X2aQjYWRqx3gEOYqyzTV42L1TeV+vMrH87qJDU2H3IvohwpuMlNB5b3T5NyEIO8sy/lw/oNWp0sGAnaZCx+IAA==","signedAt":"2026-06-21T22:14:18.659Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/agentforce-vibes","artifact":"https://unfragile.ai/agentforce-vibes","verify":"https://unfragile.ai/api/v1/verify?slug=agentforce-vibes","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"}}