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The widget updates continuously as code is edited, providing visual feedback on whether recent changes improved or degraded code quality. Historical tracking enables developers to see the trajectory of code health changes within a single editing session.","intents":["I want to see at a glance whether my recent edits improved or worsened code quality","I need to track code health trends during a refactoring session to ensure I'm making progress","I want visual feedback on code quality changes without opening separate analysis tools"],"best_for":["developers actively refactoring code who want immediate feedback on progress","teams using code health metrics as a key performance indicator","developers learning to write higher-quality code who benefit from continuous feedback"],"limitations":["Free tier access to Code Health Monitor is temporary — feature will be restricted to paid customers in future versions","Historical tracking scope is limited to current editing session — no persistent history across sessions","Tracking is file-level only — cannot correlate code health changes across multiple files or the entire project","Widget UI layout and customization options are not documented","No export or reporting functionality documented for sharing code health trends"],"requires":["Visual Studio Code (minimum version unknown)","CodeScene extension installed and active","File open in editor"],"input_types":["source code edits in current file"],"output_types":["numeric CodeHealth score","delta value (score change)","visual widget with previous/current comparison"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-codescene-codescene-vscode__cap_5","uri":"capability://safety.moderation.organizational.consent.and.governance.model.for.ai.services","name":"organizational consent and governance model for ai services","description":"Implements an organizational-level consent and activation model where CodeScene ACE (AI-powered refactoring) must be explicitly enabled by organization administrators before any developers can access AI services. This governance layer ensures that organizations maintain control over AI service usage, data transmission, and compliance with internal policies. Consent is enforced at the extension level, preventing unauthorized use of AI capabilities.","intents":["I need to control which developers in my organization can use AI-powered code refactoring","I want to ensure my organization's code is not sent to external AI services without explicit approval","I need to enforce compliance policies around AI service usage before enabling CodeScene ACE"],"best_for":["enterprises with strict data governance and compliance requirements","organizations evaluating AI tools and needing approval workflows before rollout","teams managing security and data privacy policies across development teams"],"limitations":["Consent model details are not documented — unclear how consent is granted, revoked, or managed","No granular permission controls documented — cannot restrict ACE to specific teams or projects","Organizational consent is binary (on/off) — no option for partial enablement or feature-level controls","No audit logging documented for tracking who enabled/disabled AI services or when","Consent enforcement mechanism is not transparent — unclear how the extension verifies organizational approval"],"requires":["CodeScene organization account with admin access","Explicit organizational activation of CodeScene ACE","CodeScene paid subscription"],"input_types":["organizational consent decision"],"output_types":["ACE feature availability (enabled/disabled in extension)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-codescene-codescene-vscode__cap_6","uri":"capability://code.generation.editing.language.agnostic.code.analysis.across.popular.programming.languages","name":"language-agnostic code analysis across popular programming languages","description":"Analyzes source code across multiple programming languages using language-agnostic code health metrics and code smell detection rules. The extension automatically detects the language of the current file and applies appropriate analysis rules without requiring language-specific configuration. Supports 'most popular languages' but specific language coverage is not documented.","intents":["I work in multiple programming languages and want consistent code quality feedback across my polyglot codebase","I want code analysis to work automatically without configuring language-specific rules or plugins","I need to maintain code health standards across projects written in different languages"],"best_for":["polyglot development teams working across multiple languages","organizations with heterogeneous codebases (e.g., backend in Java, frontend in JavaScript)","developers who switch between languages frequently and want consistent analysis"],"limitations":["Specific supported languages are not documented — unclear which languages are covered and which are not","Language detection mechanism is not documented — unclear how the extension determines file language","Analysis rules may vary by language but specific rule differences are not disclosed","No option to customize language-specific analysis rules or sensitivity","Unsupported language files may be silently ignored or produce incomplete analysis"],"requires":["File in a supported programming language (specific list unknown)","VS Code language support for the target language"],"input_types":["source code in supported languages"],"output_types":["code health metrics","code smell diagnostics","refactoring suggestions"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-codescene-codescene-vscode__cap_7","uri":"capability://automation.workflow.as.you.type.code.analysis.without.manual.trigger","name":"as-you-type code analysis without manual trigger","description":"Automatically analyzes code as it's typed in the editor without requiring manual trigger, analysis commands, or explicit save events. 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