{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-googlecloudtools-cloudcode","slug":"google-cloud-code","name":"Google Cloud Code","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=GoogleCloudTools.cloudcode","page_url":"https://unfragile.ai/google-cloud-code","categories":["code-editors"],"tags":["__ext_log","AI Assistant","Apigee","Artifact Registry","BigQuery Datasets","BigQuery Notebooks","Cloud Build","Cloud Functions","Cloud Run","Cloud SDK","Cloud Storage","Code Completion","Code Generation","Compute Engine","Container Registry","Containers","Dataproc","debuggers","Docker","Duet","Duet AI","GCE","GCF","gcloud","GCP","GCS","Gemini Code Assist","Google","Google Cloud","ignore","json","k8s","knative","Kubernetes","LLM","Log","Minikube","Secret Manager","Skaffold","snippet"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-googlecloudtools-cloudcode__cap_0","uri":"capability://automation.workflow.cloud.run.service.deployment.and.lifecycle.management","name":"cloud run service deployment and lifecycle management","description":"Enables one-click deployment of containerized applications to Google Cloud Run with integrated service explorer showing real-time deployment status, logs, and service health. The extension abstracts the Cloud Run API and gcloud CLI commands, providing a visual interface for creating, updating, and monitoring services without manual command-line interaction. Integrates with VS Code's sidebar explorer to display all deployed services in the current GCP project with streaming logs and service metrics.","intents":["Deploy a containerized application to Cloud Run without writing gcloud commands","Monitor the status and logs of deployed Cloud Run services from the IDE","Quickly iterate on Cloud Run services with one-click redeploy functionality","View all Cloud Run services in a project and manage their lifecycle"],"best_for":["Backend developers building containerized microservices on Google Cloud","Teams migrating from local Docker development to Cloud Run","Developers who want to avoid context-switching between IDE and Cloud Console"],"limitations":["Requires pre-built Docker image or Cloud Native Buildpack configuration — cannot generate Dockerfiles","Service configuration (memory, CPU, environment variables) must be set via Cloud Console or gcloud; extension only deploys pre-configured services","No built-in CI/CD pipeline integration — each deployment is manual or requires external orchestration","Streaming logs have unknown memory/bandwidth overhead for high-volume services"],"requires":["VS Code 1.x (minimum version unknown)","Google Cloud project with Cloud Run API enabled","Valid Google Cloud credentials configured in gcloud CLI","Docker image pushed to Artifact Registry or Container Registry, or source code with Cloud Native Buildpack support"],"input_types":["Docker image URI","Source code directory (for Buildpack-based deployment)","Service configuration (environment variables, secrets references)"],"output_types":["Deployed Cloud Run service URL","Service status (running, deploying, failed)","Streaming logs and error output"],"categories":["automation-workflow","cloud-deployment"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_1","uri":"capability://automation.workflow.kubernetes.cluster.debugging.and.log.streaming","name":"kubernetes cluster debugging and log streaming","description":"Provides setup-free debugger attachment for Kubernetes clusters and Cloud Run services, allowing developers to set breakpoints and inspect application state directly from VS Code. The extension abstracts Kubernetes debugging protocols (likely using kubectl port-forwarding and Delve for Go or language-specific debuggers) to enable breakpoint-driven debugging without manual port-forwarding or debugger configuration. Integrates with VS Code's Debug view to display stack traces, variables, and call stacks for containerized applications.","intents":["Debug a containerized application running in Kubernetes without manual port-forwarding setup","Set breakpoints and inspect variables in a running Kubernetes pod from the IDE","Stream logs from Kubernetes pods with custom filtering to diagnose issues","Attach a debugger to a Cloud Run service for local debugging of production-like environments"],"best_for":["Kubernetes developers debugging multi-container applications","Teams running applications on GKE (Google Kubernetes Engine) or Minikube","Developers who want to debug production-like environments without leaving the IDE"],"limitations":["Setup-free claim is unclear — actual debugger attachment mechanism and required configuration unknown","Debugging only works for languages with VS Code debugger support (Go, Node.js, Python, Java, .NET Core)","Requires application to be running in Kubernetes cluster — cannot debug locally without cluster access","No breakpoint persistence across pod restarts — breakpoints are session-specific","Debugger attachment may require specific container image configuration (e.g., debugger agent installed)"],"requires":["VS Code 1.x (minimum version unknown)","Kubernetes cluster (GKE, Minikube, or other) with kubectl access configured","Valid Google Cloud credentials for GKE clusters","Application container image with debugger support (language-specific)","Network access from development machine to Kubernetes cluster (for port-forwarding)"],"input_types":["Kubernetes cluster context (from kubeconfig)","Pod name and namespace","Debugger port (auto-configured or user-specified)"],"output_types":["Debugger session with breakpoint hits","Stack traces and variable inspection","Streaming logs from pods with custom filters"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_10","uri":"capability://code.generation.editing.sample.application.scaffolding.for.google.cloud.services","name":"sample application scaffolding for google cloud services","description":"Provides run-ready sample applications and project templates for common Google Cloud services and patterns, with pre-configured deployment settings and best practices. The extension generates project structure, configuration files, and boilerplate code for selected Google Cloud services (Cloud Run, Kubernetes, Cloud Functions, etc.) in supported languages. Integrates with VS Code's file explorer to create new projects with one-click scaffolding.","intents":["Create a new Cloud Run application with pre-configured deployment settings","Generate a Kubernetes application with sample manifests and best practices","Bootstrap a new project with sample code for a specific Google Cloud service","Learn Google Cloud development patterns by examining generated sample code"],"best_for":["Developers new to Google Cloud who want to learn by example","Teams standardizing on project structure and configuration patterns","Developers who want to quickly bootstrap new projects without manual setup"],"limitations":["Sample applications may not cover all use cases or advanced patterns","Generated code may require customization for specific business logic","Sample applications may use outdated dependencies or patterns if not regularly updated","Limited customization options during scaffolding — may require manual editing after generation","No built-in support for multi-service applications or complex architectures"],"requires":["VS Code 1.x (minimum version unknown)","Supported language (Go, Java, Node.js, Python, .NET Core)","Google Cloud project (optional, for deployment of generated sample)"],"input_types":["Google Cloud service type (Cloud Run, Kubernetes, Cloud Functions, etc.)","Programming language","Project name and configuration options"],"output_types":["Project directory with scaffolded structure","Source code files with boilerplate implementation","Configuration files (cloudbuild.yaml, Dockerfile, Kubernetes manifests, etc.)","README with deployment instructions"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_11","uri":"capability://tool.use.integration.artifact.registry.and.container.registry.integration.for.image.management","name":"artifact registry and container registry integration for image management","description":"Provides integration with Google Cloud Artifact Registry and Container Registry for managing container images and other artifacts directly from VS Code. The extension abstracts image registry APIs to enable developers to browse, push, and pull images without manual gcloud commands. Integrates with VS Code's sidebar to display image repositories and tags with metadata and deployment options.","intents":["Browse container images in Artifact Registry or Container Registry from VS Code","Push built container images to registry without manual gcloud commands","Pull container images for local testing or deployment","View image metadata, tags, and deployment history"],"best_for":["Developers managing container images on Google Cloud","Teams standardizing on Artifact Registry for image storage and distribution","Developers who want to avoid context-switching between IDE and Cloud Console"],"limitations":["Image push/pull mechanism unknown — may require Docker CLI integration","No built-in image scanning or vulnerability analysis — relies on Artifact Registry scanning","Image metadata viewing may be limited compared to Cloud Console","No built-in image promotion or deployment workflows","Registry access control relies on Google Cloud IAM — extension cannot bypass permissions"],"requires":["VS Code 1.x (minimum version unknown)","Google Cloud project with Artifact Registry or Container Registry enabled","Valid Google Cloud credentials with registry access permissions","Docker installed and configured (for image push/pull operations)"],"input_types":["Container image URI","Image tag and metadata","Registry location (Artifact Registry or Container Registry)"],"output_types":["Image repository list and tags","Image metadata (size, creation date, digest, etc.)","Push/pull status and logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_2","uri":"capability://automation.workflow.compute.engine.vm.ssh.access.and.file.transfer","name":"compute engine vm ssh access and file transfer","description":"Enables SSH access to Google Compute Engine VMs directly from VS Code terminal, with integrated file transfer capabilities for syncing local code to remote VMs. The extension uses gcloud compute ssh command abstraction to establish SSH sessions without manual key management or IP address lookup. Integrates with VS Code's terminal to provide a seamless SSH experience and supports file transfer (direction and mechanism unknown) for iterative development on remote VMs.","intents":["SSH into a Compute Engine VM from VS Code without manual key setup or IP lookup","Transfer local files to a remote VM for testing or deployment","Run commands on a remote VM and view output in VS Code terminal","Iterate on code running on a Compute Engine VM without leaving the IDE"],"best_for":["Developers using Compute Engine for development or testing","Teams migrating from local development to cloud-based VMs","Developers who want to avoid context-switching between IDE and SSH client"],"limitations":["File transfer direction (local-to-remote vs remote-to-local) and mechanism unknown","No built-in file synchronization — each transfer is manual or requires external tooling","SSH key management relies on gcloud CLI configuration — extension does not manage keys directly","No support for SFTP or SCP with custom options — limited to gcloud compute ssh abstraction","Terminal-based SSH may have latency overhead for interactive development"],"requires":["VS Code 1.x (minimum version unknown)","Google Cloud project with Compute Engine API enabled","Valid Google Cloud credentials configured in gcloud CLI","SSH key configured in gcloud (via gcloud compute config-ssh or manual setup)","Network access from development machine to Compute Engine VM (firewall rules)"],"input_types":["VM name and zone (from Compute Engine explorer)","Local file path (for file transfer)","SSH command (for remote execution)"],"output_types":["SSH terminal session","Remote command output","File transfer status"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_3","uri":"capability://safety.moderation.secret.manager.integration.for.secure.credential.management","name":"secret manager integration for secure credential management","description":"Provides a VS Code sidebar view for creating, viewing, and updating secrets stored in Google Cloud Secret Manager without leaving the IDE. The extension uses Secret Manager API to abstract secret lifecycle management and prevents secrets from being exported outside the extension (claimed security feature). Integrates with VS Code's explorer to display secrets organized by project, with inline editing and version management capabilities.","intents":["Create and manage API keys, database passwords, and other secrets in Secret Manager from the IDE","Reference secrets in application code or configuration without exposing them in version control","View secret metadata (creation date, last accessed, versions) without accessing the secret value","Rotate secrets and manage secret versions from VS Code"],"best_for":["Developers managing secrets for Google Cloud applications","Teams enforcing secret management best practices without external tools","Security-conscious developers who want to avoid copying secrets to local files"],"limitations":["Cannot export secrets outside Secret Manager view — limits integration with external secret management tools","Secret value visibility in VS Code may pose security risk if screen is shared or recorded","No built-in secret rotation scheduling — manual rotation only","No audit logging within extension — relies on Cloud Audit Logs for secret access tracking","Secret versioning and rollback mechanism unknown"],"requires":["VS Code 1.x (minimum version unknown)","Google Cloud project with Secret Manager API enabled","Valid Google Cloud credentials with Secret Manager permissions (roles/secretmanager.admin or similar)","Secrets already created in Secret Manager, or permission to create new secrets"],"input_types":["Secret name","Secret value (plaintext or file)","Secret labels and metadata"],"output_types":["Secret metadata (name, creation date, versions)","Secret value (in VS Code editor, not exported)","Version history"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_4","uri":"capability://search.retrieval.cloud.api.library.browser.and.integration.assistance","name":"cloud api library browser and integration assistance","description":"Provides a searchable sidebar view of available Google Cloud APIs with integration assistance for adding client libraries to projects. The extension enumerates Cloud APIs from the Google Cloud API catalog and displays them with documentation links and client library installation commands. Integrates with VS Code's command palette and editor to insert client library imports and boilerplate code for supported languages (Go, Java, Node.js, Python, .NET Core).","intents":["Discover available Google Cloud APIs without leaving the IDE","Find the correct client library for a specific Cloud API and language","Install and import client libraries with one-click commands","View API documentation and examples directly from VS Code"],"best_for":["Developers building applications with multiple Google Cloud services","Teams onboarding new developers to Google Cloud APIs","Developers who want to avoid manual API discovery and client library lookup"],"limitations":["API enumeration requires GCP API catalog access — may be slow for projects with many APIs","Client library installation mechanism unknown — may require manual package manager commands","Boilerplate code generation is language-specific and may not cover all use cases","No built-in API authentication setup — developers must configure credentials separately","Documentation links are external — requires browser navigation away from IDE"],"requires":["VS Code 1.x (minimum version unknown)","Google Cloud project with API Library access","Valid Google Cloud credentials","Language-specific package manager (pip for Python, npm for Node.js, etc.)","Supported language (Go, Java, Node.js, Python, .NET Core)"],"input_types":["API search query (by name or service type)","Target language for client library"],"output_types":["API metadata (name, description, documentation link)","Client library installation command","Boilerplate code snippet for the selected language"],"categories":["search-retrieval","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_5","uri":"capability://code.generation.editing.yaml.intelligent.authoring.and.validation.for.kubernetes.and.cloud.configurations","name":"yaml intelligent authoring and validation for kubernetes and cloud configurations","description":"Provides syntax highlighting, validation, and auto-completion for YAML configuration files used in Kubernetes and Google Cloud deployments. The extension uses rule-based or schema-based validation (mechanism unknown) to detect configuration errors and provide inline suggestions for Kubernetes manifests, Cloud Run service definitions, and other YAML-based configurations. Integrates with VS Code's editor to display validation errors and warnings with quick-fix suggestions.","intents":["Write Kubernetes manifests with syntax validation and auto-completion","Detect configuration errors in YAML files before deployment","Get suggestions for valid field values and configuration options","Validate Cloud Run service definitions and other Google Cloud YAML configurations"],"best_for":["Kubernetes developers writing manifests in VS Code","Teams enforcing configuration standards and best practices","Developers new to Kubernetes who want inline guidance on manifest structure"],"limitations":["Validation mechanism (rule-based vs schema-based) unknown — may miss complex configuration errors","Auto-completion coverage for all Kubernetes API versions and custom resources unknown","No built-in linting for security best practices (e.g., resource limits, security contexts)","Quick-fix suggestions may not cover all configuration errors","Performance impact of real-time validation on large YAML files unknown"],"requires":["VS Code 1.x (minimum version unknown)","YAML file with .yaml or .yml extension","Kubernetes schema or Cloud configuration schema (likely bundled with extension)"],"input_types":["YAML configuration file (Kubernetes manifest, Cloud Run service definition, etc.)"],"output_types":["Syntax highlighting","Validation errors and warnings","Auto-completion suggestions","Quick-fix recommendations"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_6","uri":"capability://automation.workflow.cloud.run.local.emulator.for.development.and.testing","name":"cloud run local emulator for development and testing","description":"Enables local testing of Cloud Run services using a containerized emulator that mimics Cloud Run runtime behavior without requiring deployment to the cloud. The extension abstracts the Cloud Run emulator setup and execution, allowing developers to test containerized applications locally with the same environment variables, secrets, and configuration as production Cloud Run services. Integrates with VS Code's terminal and debug view to provide local testing and debugging capabilities.","intents":["Test a Cloud Run service locally before deploying to production","Debug a Cloud Run service with breakpoints and variable inspection in a local environment","Verify that environment variables and secrets are correctly configured for Cloud Run","Iterate quickly on Cloud Run services without deploying to the cloud"],"best_for":["Developers building Cloud Run services who want fast iteration cycles","Teams testing Cloud Run services before production deployment","Developers who want to avoid cloud costs during development and testing"],"limitations":["Emulator behavior may not perfectly match production Cloud Run runtime — some edge cases may differ","Emulator requires Docker to be installed and running locally","No built-in support for testing Cloud Run integrations with other Google Cloud services (e.g., Pub/Sub, Firestore)","Emulator performance on local machine may differ from production Cloud Run performance","Configuration of emulator (port, environment variables, secrets) mechanism unknown"],"requires":["VS Code 1.x (minimum version unknown)","Docker installed and running on local machine","Containerized application with Dockerfile or Cloud Native Buildpack configuration","Google Cloud credentials for accessing secrets and environment variables (if needed)"],"input_types":["Dockerfile or Cloud Native Buildpack configuration","Environment variables and secrets configuration","Port number for local emulator"],"output_types":["Local Cloud Run emulator running on specified port","HTTP requests and responses from emulated service","Logs and debug output from emulated service"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_7","uri":"capability://automation.workflow.apigee.api.proxy.testing.and.debugging","name":"apigee api proxy testing and debugging","description":"Provides unit testing and manual testing capabilities for Apigee API proxies directly from VS Code, with integrated debugging and log viewing. The extension abstracts Apigee API testing workflows to enable developers to test API policies, transformations, and integrations without leaving the IDE. Supports both automated unit tests (mechanism unknown) and manual request/response testing with custom headers and payloads.","intents":["Test Apigee API proxy policies and transformations without deploying to production","Debug API proxy execution with step-through debugging and variable inspection","View API proxy logs and trace execution flow to diagnose issues","Perform manual API testing with custom requests and assertions"],"best_for":["API developers using Apigee for API management and transformation","Teams testing API proxies before production deployment","Developers who want to avoid context-switching between IDE and Apigee console"],"limitations":["Testing limited to unit and manual testing — no automated integration testing with external services","Debugging mechanism and supported breakpoint types unknown","No built-in test case management or test result reporting","Manual testing requires manual request construction — no request templates or examples","Log viewing may have latency or filtering limitations unknown"],"requires":["VS Code 1.x (minimum version unknown)","Apigee organization and API proxy (deployed or in development)","Valid Apigee credentials or API key","Network access to Apigee runtime or emulator"],"input_types":["API proxy configuration (policy definitions, target endpoints, etc.)","HTTP request (method, URL, headers, body)","Test assertions or expected responses"],"output_types":["Test execution results (pass/fail)","API proxy response (status, headers, body)","Execution logs and trace information","Debugger breakpoint hits and variable inspection"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_8","uri":"capability://automation.workflow.cloud.build.integration.for.ci.cd.pipeline.configuration.and.monitoring","name":"cloud build integration for ci/cd pipeline configuration and monitoring","description":"Provides integration with Google Cloud Build for configuring and monitoring CI/CD pipelines directly from VS Code. The extension abstracts Cloud Build API to enable developers to create build configurations, trigger builds, and monitor build progress without manual gcloud commands. Integrates with VS Code's sidebar to display build history and status, with inline log viewing for build steps.","intents":["Create and configure Cloud Build pipelines for automated testing and deployment","Trigger builds from VS Code and monitor build progress in real-time","View build logs and debug build failures without leaving the IDE","Manage build triggers and build configurations from VS Code"],"best_for":["Developers setting up CI/CD pipelines on Google Cloud","Teams automating testing and deployment workflows","Developers who want to avoid context-switching between IDE and Cloud Console"],"limitations":["Build configuration creation mechanism unknown — may require manual YAML editing or limited UI","Build trigger management capabilities unknown — may require Cloud Console for complex trigger setup","No built-in support for multi-cloud CI/CD — limited to Google Cloud Build","Build log streaming may have latency or memory overhead for large builds","No built-in build result notifications or integration with external tools (Slack, email, etc.)"],"requires":["VS Code 1.x (minimum version unknown)","Google Cloud project with Cloud Build API enabled","Valid Google Cloud credentials with Cloud Build permissions","Source code repository (GitHub, GitLab, Bitbucket, or Cloud Source Repositories)","cloudbuild.yaml configuration file in repository root"],"input_types":["Build configuration (cloudbuild.yaml)","Build trigger configuration (branch, tag, or manual trigger)","Build environment variables and secrets"],"output_types":["Build status (queued, running, success, failure)","Build logs and step output","Build artifacts and deployment status","Build history and metrics"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-googlecloudtools-cloudcode__cap_9","uri":"capability://automation.workflow.cloud.native.buildpack.support.for.containerization.without.dockerfile","name":"cloud native buildpack support for containerization without dockerfile","description":"Enables containerization of applications using Cloud Native Buildpacks without requiring manual Dockerfile creation. The extension detects application language and framework, automatically selects appropriate buildpacks, and generates container images for deployment to Cloud Run or Kubernetes. Integrates with Cloud Build to enable buildpack-based image building and deployment without manual Docker commands.","intents":["Containerize an application without writing a Dockerfile","Automatically detect application language and framework for buildpack selection","Build and deploy container images using buildpacks from VS Code","Iterate quickly on containerized applications without managing Dockerfile complexity"],"best_for":["Developers new to containerization who want to avoid Dockerfile complexity","Teams standardizing on buildpack-based containerization for consistency","Developers building applications in supported languages (Go, Java, Node.js, Python, .NET Core)"],"limitations":["Buildpack support limited to specific languages and frameworks — custom buildpacks may not be supported","Buildpack selection mechanism unknown — may not handle complex or multi-language applications","No built-in support for custom buildpack configuration or layer caching optimization","Buildpack build time may be slower than optimized Dockerfiles for specific use cases","Limited control over final image size and dependencies compared to manual Dockerfile"],"requires":["VS Code 1.x (minimum version unknown)","Application source code in supported language (Go, Java, Node.js, Python, .NET Core)","Google Cloud project with Cloud Build API enabled (for image building)","Artifact Registry or Container Registry for storing built images"],"input_types":["Application source code directory","Language and framework detection (automatic or manual specification)"],"output_types":["Container image URI in Artifact Registry or Container Registry","Build logs and status","Deployment configuration for Cloud Run or Kubernetes"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":50,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.x (minimum version unknown)","Google Cloud project with Cloud Run API enabled","Valid Google Cloud credentials configured in gcloud CLI","Docker image pushed to Artifact Registry or Container Registry, or source code with Cloud Native Buildpack support","Kubernetes cluster (GKE, Minikube, or other) with kubectl access configured","Valid Google Cloud credentials for GKE clusters","Application container image with debugger support (language-specific)","Network access from development machine to Kubernetes cluster (for port-forwarding)","Supported language (Go, Java, Node.js, Python, .NET Core)","Google Cloud project (optional, for deployment of generated sample)"],"failure_modes":["Requires pre-built Docker image or Cloud Native Buildpack configuration — cannot generate Dockerfiles","Service configuration (memory, CPU, environment variables) must be set via Cloud Console or gcloud; extension only deploys pre-configured services","No built-in CI/CD pipeline integration — each deployment is manual or requires external orchestration","Streaming logs have unknown memory/bandwidth overhead for high-volume services","Setup-free claim is unclear — actual debugger attachment mechanism and required configuration unknown","Debugging only works for languages with VS Code debugger support (Go, Node.js, Python, Java, .NET Core)","Requires application to be running in Kubernetes cluster — cannot debug locally without cluster access","No breakpoint persistence across pod restarts — breakpoints are session-specific","Debugger attachment may require specific container image configuration (e.g., debugger agent installed)","Sample applications may not cover all use cases or advanced patterns","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.86,"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":"2026-05-03T15:20:29.937Z","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=google-cloud-code","compare_url":"https://unfragile.ai/compare?artifact=google-cloud-code"}},"signature":"hk5j/j4LeSgf40253VAKYgwvkXXKeYtLAWLmeceMJv+98JA8AnhbMTQePBuRb7c1ANywQWy5GwlVL1KKwsmiAQ==","signedAt":"2026-07-08T11:35:46.410Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/google-cloud-code","artifact":"https://unfragile.ai/google-cloud-code","verify":"https://unfragile.ai/api/v1/verify?slug=google-cloud-code","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"}}