{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-alibaba-cloud-tongyi-lingma","slug":"lingma-alibaba-cloud-ai-coding-assistant","name":"Lingma - Alibaba Cloud AI Coding Assistant","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=Alibaba-Cloud.tongyi-lingma","page_url":"https://unfragile.ai/lingma-alibaba-cloud-ai-coding-assistant","categories":["code-editors"],"tags":["ai coding assistant","AI 自动编程","aliyun","autocoding","autocomplete","c#","chatglm","code generation","codegen","go","inline completion","java","javascript","keybindings","lingma","php","python","tongyi","tongyilingma","tongyiqianwen","typescript","灵码","编码助手","通义","通义千问","通义灵码","阿里云"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_0","uri":"capability://code.generation.editing.context.aware.inline.code.completion","name":"context-aware inline code completion","description":"Generates single-line and multi-line code suggestions as developers type, leveraging both current file context and cross-file project awareness to predict the next logical code segment. The system analyzes syntactic patterns and semantic relationships within the codebase to produce contextually relevant completions that respect existing code style and project conventions.","intents":["I want the editor to suggest the next line of code as I type without breaking my flow","I need completions that understand my project's coding patterns and conventions","I want to reduce boilerplate code typing for repetitive patterns"],"best_for":["individual developers working in VS Code or JetBrains IDEs","teams using standardized code patterns across a shared codebase","developers working in Python, Java, JavaScript, TypeScript, Go, C/C++, PHP, Ruby, or Rust"],"limitations":["Cross-file context awareness scope is undocumented — unclear how many files or how deep the dependency graph is analyzed","Completion latency measured in 'seconds' per the documentation — specific SLA unknown, may cause typing delays on slower network connections","Requires active cloud connectivity to Alibaba Cloud infrastructure; no documented offline fallback mode","No documented support for custom project-specific vocabularies or domain-specific languages beyond the 10+ supported languages"],"requires":["Visual Studio Code, Visual Studio, or JetBrains IDE (specific versions unknown)","Active Alibaba Cloud or Aliyun account with valid authentication credentials","Stable internet connection to Alibaba Cloud service endpoints","Supported programming language (Java, Python, Go, C/C++, JavaScript, TypeScript, PHP, Ruby, Rust, Scala, or other)"],"input_types":["partial code line or function signature","current file context (preceding lines, imports, class/function scope)","cross-file project context (implicit, scope unknown)"],"output_types":["single-line code suggestion","multi-line code block suggestion","function-level code generation"],"categories":["code-generation-editing","context-aware-completion"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_1","uri":"capability://code.generation.editing.function.level.code.generation","name":"function-level code generation","description":"Generates complete function implementations from partial signatures, docstrings, or type hints by analyzing the surrounding code context and project patterns. The system infers intent from function names, parameter types, and return type annotations, then synthesizes a full implementation that aligns with the codebase's architectural patterns and coding style.","intents":["I want to generate a complete function body from just the signature and docstring","I need to quickly scaffold utility functions that follow my project's patterns","I want to generate boilerplate getter/setter or CRUD operation implementations"],"best_for":["developers building CRUD applications or data-heavy services","teams with consistent, pattern-driven codebases where function implementations follow predictable structures","rapid prototyping scenarios where function stubs need quick implementation"],"limitations":["No documented support for generating functions with complex business logic or non-standard control flow","Unclear whether generated functions are validated against type signatures or tested for correctness","No mechanism documented for providing function-level constraints or implementation preferences","Generation quality depends on training data relevance; domain-specific or proprietary algorithms may not be well-represented"],"requires":["Function signature with parameter and return types (strongly recommended for accuracy)","Docstring or comment describing function intent (recommended)","Surrounding code context in the same file (implicit requirement)","Alibaba Cloud authentication and active internet connection"],"input_types":["function signature (name, parameters, return type)","docstring or inline comment describing intent","surrounding code context (class definition, imports, related functions)"],"output_types":["complete function body with implementation","function with error handling and edge cases (scope unknown)"],"categories":["code-generation-editing","code-synthesis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_10","uri":"capability://tool.use.integration.ide.native.authentication.and.credential.management","name":"ide-native authentication and credential management","description":"Integrates Alibaba Cloud authentication directly into the IDE extension, allowing developers to authenticate using Aliyun or Alibaba Cloud accounts without leaving the editor. The system manages credentials securely and handles token refresh automatically, supporting both individual developer accounts and enterprise RAM user credentials for team deployments.","intents":["I want to authenticate with my Alibaba Cloud account without opening a browser","I need to use my enterprise RAM credentials to access Lingma in our corporate environment","I want the extension to handle token refresh automatically so I don't get logged out"],"best_for":["developers using Alibaba Cloud infrastructure or services","enterprises deploying Lingma across teams with centralized identity management","organizations requiring secure credential management within the IDE"],"limitations":["Credential storage mechanism is undocumented — unclear whether credentials are stored locally or in IDE secure storage","No documented support for credential rotation or expiration policies","Token refresh mechanism is undocumented — unclear how long tokens are valid or how refresh is triggered","No documented support for multi-account switching or account management within the IDE","Unclear whether RAM user credentials support all permission models or only specific roles"],"requires":["Alibaba Cloud account (Aliyun for China mainland, Alibaba Cloud for international)","Valid account credentials or RAM user credentials","IDE extension installed and configured (VS Code, Visual Studio, or JetBrains)"],"input_types":["Alibaba Cloud account credentials (username/password or RAM credentials)","account region or endpoint configuration (implicit)"],"output_types":["authenticated session with valid access token","user identity and account information"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_11","uri":"capability://tool.use.integration.enterprise.dedicated.deployment.with.custom.domain.configuration","name":"enterprise dedicated deployment with custom domain configuration","description":"Provides a dedicated, isolated deployment option for enterprises that require custom domain configuration, private network deployment, or air-gapped environments. The system allows organizations to host Lingma on their own infrastructure or Alibaba Cloud dedicated resources, with full control over data residency, network access, and service configuration.","intents":["We need Lingma deployed in our private network without internet access","We require data residency in a specific region or on our own infrastructure","We need to customize the service endpoint and domain for our organization"],"best_for":["enterprises with strict data residency or compliance requirements","organizations operating in air-gapped or restricted network environments","large teams requiring dedicated infrastructure and custom configuration"],"limitations":["Dedicated deployment configuration mechanism is completely undocumented","No documented support for on-premises deployment vs. Alibaba Cloud dedicated resources","Unclear what customization options are available (domain, network, data residency, etc.)","No documented SLA, support model, or pricing for dedicated deployments","Unclear whether private knowledge base integration is available in dedicated deployments","No documented migration path from shared to dedicated deployment"],"requires":["Alibaba Cloud Dedicated Enterprise Edition subscription","Enterprise-level Alibaba Cloud account with appropriate permissions","Custom domain configuration (mechanism unknown)","Network infrastructure for dedicated deployment (on-premises or Alibaba Cloud VPC)"],"input_types":["custom domain configuration","network and infrastructure specifications","data residency and compliance requirements"],"output_types":["dedicated Lingma deployment","custom service endpoint","isolated infrastructure with custom configuration"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_12","uri":"capability://memory.knowledge.seamless.team.collaboration.with.shared.context","name":"seamless team collaboration with shared context","description":"Enables team collaboration by sharing code context, generation history, and AI suggestions across team members working on the same project. The system maintains shared project context and allows team members to build on each other's AI-assisted work, reducing duplication and ensuring consistency across the codebase.","intents":["I want my team to see the code suggestions and completions I've accepted","I need to share AI-generated code patterns with my teammates","I want the AI to understand our team's collective coding patterns and preferences"],"best_for":["development teams working on shared codebases","organizations seeking to standardize code generation patterns across teams","teams with distributed members who need shared context"],"limitations":["Collaboration mechanism is completely undocumented — unclear how context is shared or synchronized","No documented support for conflict resolution if team members generate conflicting code","Unclear whether collaboration is real-time or asynchronous","No documented mechanism for managing shared context or clearing outdated suggestions","Privacy implications of sharing code context across team members are undocumented","Unclear whether collaboration features are available in free tier or only enterprise editions"],"requires":["Team members with Alibaba Cloud accounts and Lingma extension installed","Shared project or codebase accessible to all team members","Alibaba Cloud authentication and active internet connection"],"input_types":["code context from team members","shared project structure and dependencies","team coding patterns and preferences (implicit)"],"output_types":["shared code suggestions and completions","team-aware generation patterns","collaborative code context"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_2","uri":"capability://code.generation.editing.unit.test.generation","name":"unit test generation","description":"Automatically generates unit test cases for functions or classes by analyzing the implementation logic, parameter types, and return values to create test scenarios covering common cases, edge cases, and error conditions. The system infers test intent from the code under test and generates assertions that validate expected behavior.","intents":["I want to quickly generate basic unit tests for a function I just wrote","I need test cases that cover common inputs, edge cases, and error scenarios","I want to improve test coverage without manually writing boilerplate test code"],"best_for":["developers working in test-driven development workflows","teams with existing test suites that follow consistent patterns","rapid development scenarios where test coverage is needed quickly"],"limitations":["No documentation on test framework support (JUnit, pytest, Jest, etc.) — unclear which frameworks are targeted","No information on how edge cases and error scenarios are identified or prioritized","Generated tests may not cover domain-specific business logic or complex invariants","No mechanism documented for specifying test coverage goals or excluding certain test scenarios","Test quality and assertion correctness are not validated; generated tests may require manual review"],"requires":["Function or class implementation to test (must be syntactically valid)","Supported programming language with test framework (Java/JUnit, Python/pytest, JavaScript/Jest, etc.)","Alibaba Cloud authentication and active internet connection"],"input_types":["function or class implementation","type signatures and parameter documentation","surrounding code context (imports, dependencies)"],"output_types":["test case code in the target test framework","multiple test methods covering different scenarios","assertions validating expected behavior"],"categories":["code-generation-editing","test-generation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_3","uri":"capability://text.generation.language.ask.mode.intelligent.q.a.with.technical.knowledge.access","name":"ask-mode intelligent q&a with technical knowledge access","description":"Provides an interactive chat interface within the IDE where developers can ask questions about code problems, debugging issues, runtime errors, and general development topics. The system accesses a knowledge base combining technical documentation, product manuals, and general development knowledge to provide contextual answers that reference the developer's current code and project environment.","intents":["I want to ask the AI why this code is throwing an error and get a fix suggestion","I need to understand how to use a library or API without leaving the IDE","I want to diagnose a runtime error by describing the symptoms to the AI"],"best_for":["developers debugging complex issues or learning new frameworks","teams with shared knowledge bases or internal documentation","developers who prefer conversational problem-solving over documentation search"],"limitations":["Knowledge base composition is undocumented — unclear what documentation sources are indexed or how current they are","No documented mechanism for adding custom documentation or private domain knowledge in free tier","Context awareness scope is undefined — unclear whether the AI can access full project structure, dependencies, or only the current file","No documented support for multi-turn conversations with memory of previous questions in the same session","Answer quality depends on knowledge base coverage; niche or proprietary technologies may not be well-represented"],"requires":["Alibaba Cloud authentication and active internet connection","IDE integration with ask-mode UI (VS Code, Visual Studio, or JetBrains)","Current file or code context to be available in the editor"],"input_types":["natural language question or problem description","code snippet or error message (implicit, context-aware)","current file context and project environment (implicit)"],"output_types":["natural language explanation or answer","code snippet or example demonstrating the solution","reference to documentation or external resources"],"categories":["text-generation-language","memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_4","uri":"capability://code.generation.editing.multi.file.edit.mode.with.iterative.code.changes","name":"multi-file edit mode with iterative code changes","description":"Enables simultaneous modification across multiple files in response to a single user request, allowing developers to specify requirements or refactoring goals and have the AI apply coordinated changes across the codebase. The system understands project structure and dependencies to ensure changes are consistent and maintain code integrity across file boundaries.","intents":["I want to rename a function across all files that import or use it","I need to refactor a module and update all dependent code in one operation","I want to apply a breaking API change and have all call sites updated automatically"],"best_for":["teams performing large-scale refactoring or API migrations","developers working on monorepos or tightly-coupled codebases","rapid prototyping scenarios requiring coordinated changes across multiple files"],"limitations":["No documented mechanism for specifying which files should be modified or excluded from changes","Unclear how the system identifies dependencies and determines which files need updates","No documented rollback or undo mechanism if multi-file changes introduce errors","Changes are not validated for correctness or type safety across file boundaries","No documented support for handling circular dependencies or complex dependency graphs","Scope of 'project environment awareness' is undefined — unclear whether it analyzes build configuration, package dependencies, or only source code"],"requires":["Multiple files in the same project or workspace","Clear requirement or refactoring goal specified in natural language","Alibaba Cloud authentication and active internet connection","IDE support for multi-file editing (VS Code, Visual Studio, or JetBrains)"],"input_types":["natural language requirement or refactoring goal","current project structure and file list (implicit)","dependency graph or import relationships (implicit)"],"output_types":["coordinated code changes across multiple files","updated imports and references","modified function signatures and call sites"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_5","uri":"capability://code.generation.editing.code.optimization.suggestions","name":"code optimization suggestions","description":"Analyzes existing code to identify performance bottlenecks, inefficient patterns, and optimization opportunities, then suggests refactored implementations that improve readability, maintainability, or runtime performance. The system evaluates code against best practices and project-specific patterns to provide targeted improvement recommendations.","intents":["I want to identify performance bottlenecks in my code and get optimization suggestions","I need to refactor code to follow my team's best practices and coding standards","I want to improve code readability and maintainability without changing functionality"],"best_for":["developers optimizing performance-critical code paths","teams enforcing coding standards and best practices","code review processes where optimization suggestions are valuable"],"limitations":["No documented criteria for identifying optimization opportunities or prioritizing suggestions","Unclear whether optimization suggestions are based on static analysis, heuristics, or learned patterns","No mechanism documented for specifying optimization goals (e.g., prioritize speed vs. memory vs. readability)","Suggested optimizations are not validated for correctness or performance impact","No documented support for domain-specific optimizations (e.g., database query optimization, algorithm selection)"],"requires":["Existing code implementation to analyze","Supported programming language (Java, Python, Go, C/C++, JavaScript, TypeScript, PHP, Ruby, Rust, Scala)","Alibaba Cloud authentication and active internet connection"],"input_types":["code snippet or function implementation","surrounding code context (class definition, imports, related functions)","performance metrics or profiling data (implicit, not documented)"],"output_types":["optimization suggestion with explanation","refactored code demonstrating the optimization","performance or readability improvement rationale"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_6","uri":"capability://code.generation.editing.code.review.integration.with.iterative.feedback","name":"code review integration with iterative feedback","description":"Integrates with code review workflows to provide automated feedback on pull requests or code changes, identifying issues, suggesting improvements, and enabling iterative refinement of code before merge. The system analyzes diffs and proposed changes against project standards and best practices to provide targeted review comments.","intents":["I want automated code review feedback on my pull request before human review","I need to identify code quality issues and style violations in proposed changes","I want to iterate on code changes based on AI feedback before submitting for review"],"best_for":["teams using pull request workflows (GitHub, GitLab, Bitbucket, etc.)","development teams enforcing code quality standards","organizations seeking to reduce manual code review burden"],"limitations":["No documented integration with specific version control platforms or code review tools","Unclear whether the system analyzes full diffs or only changed lines","No mechanism documented for customizing review criteria or suppressing certain feedback categories","Review feedback is not validated for accuracy; false positives may require manual filtering","No documented support for team-specific code review policies or architectural constraints","Scope of integration with IDE vs. external code review tools is undefined"],"requires":["Code review workflow integration (mechanism and supported platforms unknown)","Pull request or code diff to analyze","Alibaba Cloud authentication and active internet connection","Project context and code standards (implicit)"],"input_types":["code diff or pull request changes","full codebase context for comparison","project coding standards and best practices (implicit)"],"output_types":["code review comments and suggestions","identified issues and quality violations","improvement recommendations with rationale"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_7","uri":"capability://planning.reasoning.code.agent.with.autonomous.task.execution","name":"code agent with autonomous task execution","description":"Provides an autonomous agent that can decompose complex coding tasks into subtasks, execute them sequentially, and coordinate results across multiple operations. The agent understands project context and can make decisions about code generation, modification, and validation without explicit user guidance for each step.","intents":["I want to describe a complex feature and have the AI implement it end-to-end","I need to automate a multi-step refactoring or migration task","I want the AI to handle implementation details while I focus on high-level requirements"],"best_for":["developers building new features from high-level requirements","teams performing large-scale migrations or refactoring","rapid prototyping scenarios where implementation speed is critical"],"limitations":["No technical documentation on agent architecture, decision-making process, or task decomposition strategy","Unclear what types of tasks the agent can handle or how it determines task boundaries","No documented mechanism for providing constraints, preferences, or validation criteria to the agent","Agent decisions are not validated for correctness; generated code may require significant review","No documented rollback or undo mechanism if agent-generated changes introduce errors","Scope of agent autonomy is undefined — unclear whether it can execute tests, commit changes, or only generate code"],"requires":["High-level task description or feature requirement","Project context and existing codebase","Alibaba Cloud authentication and active internet connection","IDE integration with agent execution capabilities (VS Code, Visual Studio, or JetBrains)"],"input_types":["natural language task description or feature requirement","project structure and existing code","constraints or preferences (implicit, not documented)"],"output_types":["generated code implementing the task","modified files and coordinated changes","execution summary or task completion status"],"categories":["planning-reasoning","automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_8","uri":"capability://memory.knowledge.enterprise.private.domain.knowledge.enhancement","name":"enterprise private domain knowledge enhancement","description":"Enables organizations to augment Lingma's base knowledge with proprietary documentation, internal APIs, custom libraries, and domain-specific patterns through a private knowledge base. The system integrates this custom knowledge into code generation and Q&A responses, allowing the AI to generate code that aligns with enterprise-specific standards and technologies.","intents":["I want the AI to understand our proprietary APIs and generate code using them correctly","I need the AI to follow our internal coding standards and architectural patterns","I want to provide our team with AI assistance that knows about our custom frameworks and libraries"],"best_for":["enterprises with proprietary technologies or custom frameworks","organizations with strict architectural standards or coding conventions","teams using internal libraries or APIs not available in public documentation"],"limitations":["Knowledge base ingestion mechanism is undocumented — unclear how to add, update, or manage custom knowledge","No documented support for knowledge base versioning or rollback","Unclear how custom knowledge is prioritized vs. base knowledge in generation and Q&A","No documented limits on knowledge base size or complexity","Integration with Dedicated Enterprise Edition only — not available in free or Business Edition tiers","No documented mechanism for validating that generated code correctly uses custom knowledge"],"requires":["Alibaba Cloud Dedicated Enterprise Edition subscription","Custom domain configuration (mechanism unknown)","Proprietary documentation or knowledge artifacts to ingest","Enterprise-level Alibaba Cloud account with appropriate permissions"],"input_types":["proprietary documentation (format unknown)","internal API specifications or schemas","custom library or framework documentation","architectural patterns or coding standards"],"output_types":["code generation using custom knowledge","Q&A responses referencing proprietary technologies","suggestions aligned with enterprise standards"],"categories":["memory-knowledge","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-alibaba-cloud-tongyi-lingma__cap_9","uri":"capability://code.generation.editing.cross.language.code.generation.with.language.specific.pattern.matching","name":"cross-language code generation with language-specific pattern matching","description":"Generates code across 10+ programming languages (Java, Python, Go, C/C++, JavaScript, TypeScript, PHP, Ruby, Rust, Scala, and others) by recognizing language-specific syntax, idioms, and best practices. The system adapts code generation patterns to each language's conventions, type systems, and standard libraries, ensuring generated code is idiomatic and follows language-specific best practices.","intents":["I want code completion that understands Python idioms and conventions","I need to generate Java code that follows enterprise Java patterns","I want the AI to generate TypeScript code with proper type annotations"],"best_for":["polyglot development teams working across multiple languages","developers learning new programming languages who need idiomatic examples","organizations with language-specific architectural patterns or conventions"],"limitations":["Language support list includes 'and other programming languages' — scope of additional languages is undefined","No documented mechanism for specifying language-specific preferences or idiom styles","Quality of language-specific generation likely varies by language popularity and training data representation","No documented support for language-specific type systems, generics, or advanced features","Unclear how the system handles polyglot projects with multiple languages in the same codebase"],"requires":["Supported programming language (Java, Python, Go, C/C++, JavaScript, TypeScript, PHP, Ruby, Rust, Scala, or other)","File extension or language context to identify the target language","Alibaba Cloud authentication and active internet connection"],"input_types":["partial code in the target language","function signature or type annotations","language-specific context (imports, class definitions, etc.)"],"output_types":["idiomatic code in the target language","language-specific patterns and conventions","type-annotated code (where applicable)"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":51,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code, Visual Studio, or JetBrains IDE (specific versions unknown)","Active Alibaba Cloud or Aliyun account with valid authentication credentials","Stable internet connection to Alibaba Cloud service endpoints","Supported programming language (Java, Python, Go, C/C++, JavaScript, TypeScript, PHP, Ruby, Rust, Scala, or other)","Function signature with parameter and return types (strongly recommended for accuracy)","Docstring or comment describing function intent (recommended)","Surrounding code context in the same file (implicit requirement)","Alibaba Cloud authentication and active internet connection","Alibaba Cloud account (Aliyun for China mainland, Alibaba Cloud for international)","Valid account credentials or RAM user credentials"],"failure_modes":["Cross-file context awareness scope is undocumented — unclear how many files or how deep the dependency graph is analyzed","Completion latency measured in 'seconds' per the documentation — specific SLA unknown, may cause typing delays on slower network connections","Requires active cloud connectivity to Alibaba Cloud infrastructure; no documented offline fallback mode","No documented support for custom project-specific vocabularies or domain-specific languages beyond the 10+ supported languages","No documented support for generating functions with complex business logic or non-standard control flow","Unclear whether generated functions are validated against type signatures or tested for correctness","No mechanism documented for providing function-level constraints or implementation preferences","Generation quality depends on training data relevance; domain-specific or proprietary algorithms may not be well-represented","Credential storage mechanism is undocumented — unclear whether credentials are stored locally or in IDE secure storage","No documented support for credential rotation or expiration policies","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.87,"quality":0.35,"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":"2026-05-03T15:20:29.937Z","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=lingma-alibaba-cloud-ai-coding-assistant","compare_url":"https://unfragile.ai/compare?artifact=lingma-alibaba-cloud-ai-coding-assistant"}},"signature":"F8CEDxN06AsVSrpz0VPiQfSsMlGresEF0MWag3XXMPy4kauWxmLlZpTmy1LuErKBu5L3aRg1WHFN8CSFyQ8LCA==","signedAt":"2026-06-20T12:50:56.557Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/lingma-alibaba-cloud-ai-coding-assistant","artifact":"https://unfragile.ai/lingma-alibaba-cloud-ai-coding-assistant","verify":"https://unfragile.ai/api/v1/verify?slug=lingma-alibaba-cloud-ai-coding-assistant","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"}}