{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-devtools-ai-devtools-ai","slug":"dev-tools-ai","name":"dev tools ai","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=devtools-ai.devtools-ai","page_url":"https://unfragile.ai/dev-tools-ai","categories":["code-editors"],"tags":["ai","appium","artificial intelligence","cypress","dev tools","devtools","dev-tools","devtools.ai","dev-tools.ai","java","javascript","locator","machine learning","ml","playwright","python","selector","selenium","smartdriver","testing","typescript","webdriver"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-devtools-ai-devtools-ai__cap_0","uri":"capability://code.generation.editing.visual.locator.coverage.tracking.with.inline.decorations","name":"visual-locator-coverage-tracking-with-inline-decorations","description":"Analyzes test code files to identify selectors and locators (CSS, XPath, accessibility identifiers) and decorates them inline within the VS Code editor with visual indicators showing whether each locator is covered by the dev-tools.ai learning system. Uses AST or regex-based pattern matching to recognize locator syntax across supported frameworks (Selenium, Playwright, Cypress, WebdriverIO) and communicates coverage status via color-coded gutter decorations and inline highlights without requiring manual annotation.","intents":["I want to see at a glance which selectors in my test code are being tracked by the AI system","I need visual feedback on locator coverage across my test suite to identify gaps","I want to understand which elements the AI has learned from without running tests manually"],"best_for":["QA engineers maintaining large test suites with hundreds of selectors","teams adopting AI-driven test maintenance and wanting visibility into coverage","developers migrating from manual selector updates to AI-learned locators"],"limitations":["Only decorates locators in supported frameworks (Python/Java Selenium, Cypress, Playwright, WebdriverIO); C#, JavaScript Selenium, and Ruby not yet supported","Requires active dev-tools.ai API connection to determine coverage status; offline mode not documented","Decoration accuracy depends on pattern recognition; complex or dynamically-constructed selectors may not be recognized","No bulk coverage reporting or export functionality documented"],"requires":["VS Code (minimum version unknown, not documented)","Valid dev-tools.ai API key stored in ~/.smartdriver (Linux/macOS) or %userprofile%\\.smartdriver (Windows)","Test code using recognized locator syntax from supported frameworks","Active internet connection to dev-tools.ai service"],"input_types":["test code files (Python, Java, JavaScript/TypeScript, Cypress feature files)","locator/selector strings (CSS selectors, XPath, accessibility identifiers)"],"output_types":["inline visual decorations (color-coded gutter indicators)","coverage status metadata (covered/uncovered state)"],"categories":["code-generation-editing","test-automation-visibility"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-devtools-ai-devtools-ai__cap_1","uri":"capability://image.visual.hover.based.element.image.preview.for.locators","name":"hover-based-element-image-preview-for-locators","description":"Implements mouse-over tooltip functionality that displays captured screenshots or images of UI elements associated with specific locators in test code. When a developer hovers over a recognized selector or locator, the extension retrieves and renders the visual representation of that element as it appeared during test execution, providing immediate visual context without requiring test re-execution. Images are sourced from the dev-tools.ai system's visual capture database built during prior test runs.","intents":["I want to see what element a selector actually points to without running the test","I need to verify a locator is targeting the correct UI element visually before committing code","I want to understand the visual context of a selector when reviewing or debugging test code"],"best_for":["QA engineers debugging selector failures or validating locator accuracy","developers new to a test suite wanting to understand what each selector targets","teams with dynamic or frequently-changing UIs needing visual confirmation of selector targets"],"limitations":["Images only available for locators that have been executed and captured by dev-tools.ai in prior test runs; new or untested selectors will have no preview","Image freshness depends on test execution frequency; stale images may not reflect current UI state","Hover tooltip latency unknown; image retrieval and rendering performance not documented","No image caching strategy documented; each hover may trigger a network request","Images are read-only; no annotation or markup tools provided"],"requires":["VS Code (minimum version unknown)","Valid dev-tools.ai API key with access to captured image database","Prior test execution with visual capture enabled","Active internet connection to retrieve images from dev-tools.ai service","Locator must be recognized by the extension's pattern matching"],"input_types":["locator/selector string in test code","mouse hover event over recognized locator"],"output_types":["image/screenshot (PNG, JPEG, or other format)","tooltip UI element with embedded image"],"categories":["image-visual","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-devtools-ai-devtools-ai__cap_2","uri":"capability://tool.use.integration.api.key.management.with.status.bar.integration","name":"api-key-management-with-status-bar-integration","description":"Provides a VS Code status bar icon (pencil icon) that enables developers to view, update, and manage their dev-tools.ai API key without leaving the editor. The extension prompts for API key entry during initial installation, stores the key in a platform-specific location (~/.smartdriver on Linux/macOS, %userprofile%\\.smartdriver on Windows), and allows in-editor updates via the status bar UI. The stored key is automatically used by SmartDriver instances when no explicit API key parameter is provided, enabling seamless authentication to the dev-tools.ai cloud service.","intents":["I want to set up my dev-tools.ai API key without leaving VS Code","I need to update or rotate my API key when it expires or is compromised","I want to verify my API key is correctly configured for the extension to function"],"best_for":["individual developers setting up dev-tools.ai for the first time","teams managing API key rotation and credential updates","developers troubleshooting authentication failures"],"limitations":["API key stored in plaintext on disk; no encryption at rest documented","No key rotation or expiration mechanism documented","No audit trail or logging of key access or updates","Key stored in user home directory; not suitable for shared or CI/CD environments without additional setup","No support for environment variables or external secret management systems documented","Windows path uses backslashes; potential issues on systems with non-standard home directory configurations"],"requires":["VS Code (minimum version unknown)","Valid dev-tools.ai API key (obtained from dev-tools.ai account)","Write permissions to home directory (~/.smartdriver or Windows equivalent)","No pre-existing API key configuration (initial setup only)"],"input_types":["API key string (alphanumeric, format unknown)","user interaction via status bar icon"],"output_types":["stored API key in ~/.smartdriver file","confirmation message or status indicator"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-devtools-ai-devtools-ai__cap_3","uri":"capability://memory.knowledge.framework.agnostic.locator.learning.from.test.execution","name":"framework-agnostic-locator-learning-from-test-execution","description":"Monitors test execution across multiple automation frameworks (Selenium, Playwright, Cypress, WebdriverIO) and learns the visual and structural characteristics of UI elements associated with selectors and locators. The system captures images and metadata during test runs, builds a knowledge base of element-to-locator mappings, and uses machine learning to understand which selectors are stable and reliable. This learning enables the system to suggest selector updates or validate existing selectors without manual intervention, reducing test maintenance overhead when UIs change.","intents":["I want the system to automatically learn which selectors work reliably so I don't have to manually update them when the UI changes","I need to understand which selectors are fragile or prone to breaking based on historical test execution patterns","I want to reduce test maintenance burden by letting AI handle selector validation and updates"],"best_for":["QA teams managing large test suites with frequent UI changes","organizations adopting AI-driven test automation to reduce maintenance costs","teams using multiple automation frameworks and wanting unified learning across them"],"limitations":["Learning mechanism and model architecture not documented; unclear how selectors are updated or validated","Requires continuous test execution to build and maintain learning database; no mechanism for offline learning documented","No control over learning parameters or model retraining frequency documented","Learning quality depends on test execution coverage; gaps in test coverage will result in incomplete learning","No documented mechanism to override or correct learned selectors if AI makes incorrect decisions","Automatic selector updates may introduce false positives or break tests if learning is incorrect; rollback mechanism not documented"],"requires":["VS Code extension installed and configured with valid API key","Test code using recognized locator syntax from supported frameworks","Regular test execution (frequency not specified) to feed learning system","Active internet connection to send test execution data to dev-tools.ai service","Instrumented test code or SmartDriver integration (exact mechanism not documented)"],"input_types":["test execution events (locator access, element interaction)","captured images of UI elements","test pass/fail outcomes","locator strings and selectors"],"output_types":["learned selector mappings (internal to dev-tools.ai system)","selector validation results","suggested selector updates (mechanism not documented)"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-devtools-ai-devtools-ai__cap_4","uri":"capability://code.generation.editing.multi.framework.locator.syntax.recognition.and.parsing","name":"multi-framework-locator-syntax-recognition-and-parsing","description":"Implements pattern recognition and parsing logic to identify and extract locator/selector syntax across multiple test automation frameworks (Python/Java Selenium, Cypress, Playwright, WebdriverIO). The extension recognizes CSS selectors, XPath expressions, accessibility identifiers, and framework-specific locator APIs, enabling it to decorate and hover over recognized locators in test code. Uses language-specific parsing (likely regex or AST-based) to distinguish locators from other code elements and map them to the dev-tools.ai learning system.","intents":["I want the extension to automatically recognize selectors in my test code regardless of which framework I'm using","I need consistent locator tracking across projects that use different automation frameworks","I want the extension to understand both CSS and XPath selectors without manual configuration"],"best_for":["teams using multiple automation frameworks and wanting unified locator tracking","developers working with Selenium, Playwright, Cypress, or WebdriverIO","organizations standardizing on AI-driven test maintenance across heterogeneous test suites"],"limitations":["Only supports Python/Java Selenium, Cypress, Playwright, and WebdriverIO; C#, JavaScript Selenium, and Ruby not yet supported","Parsing accuracy depends on code style and conventions; non-standard or dynamically-constructed selectors may not be recognized","No documented support for custom locator strategies or framework extensions","Locator recognition is static (based on code analysis); runtime-generated selectors cannot be tracked","No support for Page Object Model abstractions or locator inheritance patterns documented","Performance impact of parsing large test files not documented"],"requires":["VS Code (minimum version unknown)","Test code using standard locator syntax from supported frameworks","Valid dev-tools.ai API key","Supported programming language (Python, Java, JavaScript/TypeScript)"],"input_types":["test code files in supported languages","locator/selector strings (CSS, XPath, accessibility identifiers)"],"output_types":["parsed locator metadata (framework type, selector type, location in code)","recognized locator positions for decoration and hover"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-devtools-ai-devtools-ai__cap_5","uri":"capability://image.visual.cloud.based.visual.element.capture.and.storage","name":"cloud-based-visual-element-capture-and-storage","description":"Captures screenshots and visual metadata of UI elements during test execution and stores them in a cloud-based database accessible via the dev-tools.ai service. The system associates captured images with specific locators and test execution metadata, enabling the hover preview feature and visual learning system to retrieve and display element images on-demand. Images are indexed and searchable by locator, enabling the extension to quickly retrieve relevant visual context for any selector in test code.","intents":["I want to see what UI elements my selectors target without re-running tests","I need a visual record of how elements appeared during test execution for debugging","I want the system to use visual element characteristics to validate and learn from selectors"],"best_for":["QA teams needing visual debugging and validation of selectors","organizations building visual regression testing capabilities","teams wanting to correlate selector failures with visual element changes"],"limitations":["Images only captured during test execution; no mechanism to manually capture or upload images documented","Image storage and retention policies not documented; unclear how long images are retained or if they can be deleted","No documented image compression or optimization; storage costs and bandwidth implications unknown","Privacy implications not addressed; images may contain sensitive UI data or user information","No documented encryption for images in transit or at rest","Image retrieval latency not documented; hover preview performance may be impacted","No bulk image export or download functionality documented"],"requires":["VS Code extension with valid dev-tools.ai API key","Test execution with dev-tools.ai integration enabled","Active internet connection to upload and retrieve images","Sufficient storage quota in dev-tools.ai account (limits not documented)"],"input_types":["screenshots captured during test execution","element metadata (locator, framework, test name, timestamp)","test execution context (pass/fail, browser, OS)"],"output_types":["indexed image database in dev-tools.ai cloud","image retrieval API for hover previews","visual metadata for learning system"],"categories":["image-visual","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-devtools-ai-devtools-ai__cap_6","uri":"capability://tool.use.integration.smartdriver.api.integration.with.implicit.credential.injection","name":"smartdriver-api-integration-with-implicit-credential-injection","description":"Provides a SmartDriver API that test code can instantiate to interact with the dev-tools.ai learning system. When SmartDriver is instantiated without an explicit API key parameter, the extension automatically injects the stored API key from ~/.smartdriver, enabling seamless authentication without hardcoding credentials in test code. SmartDriver acts as a wrapper or adapter around standard WebDriver APIs, intercepting locator access and element interactions to feed the learning system.","intents":["I want to use dev-tools.ai in my test code without managing API keys in my code","I need a simple API to integrate AI-driven locator learning into my existing test framework","I want SmartDriver to automatically send locator usage data to the learning system"],"best_for":["developers integrating dev-tools.ai into existing test suites","teams wanting to minimize code changes when adopting AI-driven test maintenance","QA engineers using Selenium, Playwright, Cypress, or WebdriverIO"],"limitations":["SmartDriver API design and method signatures not documented; unclear how it wraps or extends standard WebDriver APIs","No documented support for custom WebDriver configurations or advanced options","Implicit credential injection only works if API key is stored in ~/.smartdriver; no fallback to environment variables or other sources documented","No documented error handling or fallback behavior if API key is missing or invalid","Performance overhead of SmartDriver wrapper not documented; may add latency to element interactions","No documented support for parallel test execution or multi-threaded scenarios","Language support limited to Python and Java (Selenium); JavaScript/TypeScript support for Playwright/Cypress not documented"],"requires":["VS Code extension installed with valid API key in ~/.smartdriver","SmartDriver library installed (language-specific: Python or Java)","Test code using supported framework (Selenium, Playwright, Cypress, WebdriverIO)","Active internet connection to dev-tools.ai service"],"input_types":["SmartDriver instantiation (no API key parameter required)","locator/selector strings passed to SmartDriver methods","element interaction events (click, type, submit, etc.)"],"output_types":["authenticated connection to dev-tools.ai service","locator usage telemetry sent to learning system","element interaction events logged for learning"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-devtools-ai-devtools-ai__cap_7","uri":"capability://tool.use.integration.freemium.pricing.model.with.cloud.service.dependency","name":"freemium-pricing-model-with-cloud-service-dependency","description":"Operates on a freemium pricing model where the VS Code extension is free to install, but core functionality (visual capture, learning system, image storage, API access) depends on a cloud-based dev-tools.ai service that likely has paid tiers. The free tier provides basic locator tracking and decoration, while premium tiers likely offer advanced learning, unlimited image storage, and priority support. All AI processing and data storage occurs in the cloud, requiring internet connectivity and a valid API key for any functionality beyond basic code decoration.","intents":["I want to try dev-tools.ai without paying upfront","I need to understand the cost of using dev-tools.ai at scale","I want to evaluate whether dev-tools.ai's pricing justifies the maintenance savings"],"best_for":["individual developers and small teams evaluating AI-driven test maintenance","organizations with limited budgets wanting to pilot dev-tools.ai before committing","teams needing to justify ROI of AI-driven testing to stakeholders"],"limitations":["Pricing tiers and feature limitations not documented; unclear what free tier includes vs paid tiers","No documented pricing or cost calculator; organizations cannot estimate costs at scale","Cloud service dependency means ongoing subscription costs; no on-premise or self-hosted option documented","Free tier may have rate limits or usage quotas not documented","Pricing may change without notice; no documented pricing guarantee or SLA","No documented trial period or money-back guarantee","Cost-benefit analysis difficult without clear pricing and feature breakdown"],"requires":["Valid dev-tools.ai account (free or paid)","API key from dev-tools.ai account","Active internet connection to dev-tools.ai service","Willingness to store test data and images in dev-tools.ai cloud"],"input_types":["user account creation and API key generation","test execution data and images (sent to cloud)"],"output_types":["API access and service quota","billing and usage reports (likely)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-devtools-ai-devtools-ai__cap_8","uri":"capability://tool.use.integration.cross.platform.api.key.storage.with.home.directory.persistence","name":"cross-platform-api-key-storage-with-home-directory-persistence","description":"Implements platform-specific API key storage using home directory paths (~/.smartdriver on Linux/macOS, %userprofile%\\.smartdriver on Windows) to persist credentials across VS Code sessions. The extension reads and writes API keys to these locations during setup and updates, enabling automatic credential injection into SmartDriver instances without requiring re-entry. Storage is local to the user's machine, not synced across devices or shared with other users.","intents":["I want my API key to persist across VS Code restarts without re-entering it","I need the extension to work seamlessly on Windows, macOS, and Linux with consistent behavior","I want my API key stored locally on my machine, not in the cloud or shared with others"],"best_for":["individual developers using dev-tools.ai on a single machine","teams where each developer has their own API key and machine","organizations with strict data residency requirements"],"limitations":["API key stored in plaintext; no encryption at rest","No synchronization across devices; API key must be manually set up on each machine","No support for shared or CI/CD environments without additional setup (e.g., environment variables)","Windows path uses backslashes; potential issues on systems with non-standard home directory configurations","No backup or recovery mechanism documented; loss of ~/.smartdriver file means loss of API key","No audit trail or logging of key access","No key rotation or expiration mechanism documented"],"requires":["VS Code (minimum version unknown)","Write permissions to home directory","Valid dev-tools.ai API key","Operating system with standard home directory structure (Windows, macOS, Linux)"],"input_types":["API key string","platform detection (Windows, macOS, Linux)"],"output_types":["stored API key file at ~/.smartdriver or Windows equivalent","confirmation of successful storage"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["VS Code (minimum version unknown, not documented)","Valid dev-tools.ai API key stored in ~/.smartdriver (Linux/macOS) or %userprofile%\\.smartdriver (Windows)","Test code using recognized locator syntax from supported frameworks","Active internet connection to dev-tools.ai service","VS Code (minimum version unknown)","Valid dev-tools.ai API key with access to captured image database","Prior test execution with visual capture enabled","Active internet connection to retrieve images from dev-tools.ai service","Locator must be recognized by the extension's pattern matching","Valid dev-tools.ai API key (obtained from dev-tools.ai account)"],"failure_modes":["Only decorates locators in supported frameworks (Python/Java Selenium, Cypress, Playwright, WebdriverIO); C#, JavaScript Selenium, and Ruby not yet supported","Requires active dev-tools.ai API connection to determine coverage status; offline mode not documented","Decoration accuracy depends on pattern recognition; complex or dynamically-constructed selectors may not be recognized","No bulk coverage reporting or export functionality documented","Images only available for locators that have been executed and captured by dev-tools.ai in prior test runs; new or untested selectors will have no preview","Image freshness depends on test execution frequency; stale images may not reflect current UI state","Hover tooltip latency unknown; image retrieval and rendering performance not documented","No image caching strategy documented; each hover may trigger a network request","Images are read-only; no annotation or markup tools provided","API key stored in plaintext on disk; no encryption at rest documented","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.43,"quality":0.43,"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":"2026-05-03T15:20:31.090Z","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=dev-tools-ai","compare_url":"https://unfragile.ai/compare?artifact=dev-tools-ai"}},"signature":"ol4gFJ5OmCubDdM8r4TCUDlTLAyR6qj94/8yPLyFKXcYXSXXBtaRY+bW+q65G/JaXLpFdpm4tQo/gbxE9UkRAA==","signedAt":"2026-06-22T16:07:43.947Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/dev-tools-ai","artifact":"https://unfragile.ai/dev-tools-ai","verify":"https://unfragile.ai/api/v1/verify?slug=dev-tools-ai","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"}}