{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"copilot-workspace","slug":"copilot-workspace","name":"Copilot Workspace","type":"agent","url":"https://githubnext.com/projects/copilot-workspace","page_url":"https://unfragile.ai/copilot-workspace","categories":["code-editors"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"copilot-workspace__cap_0","uri":"capability://planning.reasoning.issue.to.implementation.plan.generation","name":"issue-to-implementation-plan generation","description":"Parses GitHub issues (title, description, context) and generates a structured implementation plan that breaks down requirements into discrete tasks, identifies affected files, and proposes architectural changes. Uses multi-turn reasoning to understand issue scope, dependencies, and acceptance criteria before code generation begins.","intents":["I want to understand the full scope of work before starting to code","I need a breakdown of which files and systems will be affected by this change","I want to see the proposed approach and get feedback before implementation","I need to estimate effort and identify potential blockers upfront"],"best_for":["teams managing large codebases with complex requirements","developers working on issues with unclear or ambiguous specifications","engineering leads who need to review implementation strategy before coding begins"],"limitations":["Plan quality depends on issue description clarity — vague issues produce generic plans","Cannot access issue history or linked PRs to infer context beyond the issue body","Plans may miss domain-specific constraints not explicitly stated in the issue","No built-in feedback loop to refine plans based on developer input before code generation"],"requires":["GitHub account with access to the repository","Issue must be created in a GitHub repository","Copilot Workspace access (currently in limited beta)"],"input_types":["GitHub issue text (title + description)","repository context (language, framework, existing code structure)"],"output_types":["structured plan (JSON or markdown)","task breakdown with file mappings","architectural recommendations"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_1","uri":"capability://code.generation.editing.multi.file.code.generation.with.dependency.awareness","name":"multi-file code generation with dependency awareness","description":"Generates code changes across multiple files simultaneously while maintaining consistency in imports, type definitions, and API contracts. Uses AST-aware code generation to understand existing code structure, infer patterns from the codebase, and ensure generated code follows project conventions. Tracks dependencies between files to generate changes in correct order.","intents":["I need to implement a feature that touches 5+ files and I want them all generated consistently","I want generated code to match my project's style, naming conventions, and architectural patterns","I need to add a new module with proper imports and exports without manual fixup","I want to refactor across multiple files while maintaining type safety"],"best_for":["teams with large codebases (10k+ lines) where consistency is critical","projects with strict architectural patterns or coding standards","developers implementing features that span multiple layers (API, service, model, UI)"],"limitations":["Cannot modify files it doesn't have read access to in the repository","May generate redundant imports or miss circular dependency issues in complex graphs","Pattern inference works best for common frameworks (React, Express, Django) — custom patterns may not be recognized","No rollback mechanism if generated code introduces breaking changes across files"],"requires":["GitHub repository with readable source code","Repository must be in a supported language (JavaScript/TypeScript, Python, Java, Go, C#, etc.)","Copilot Workspace access"],"input_types":["implementation plan or user specification","existing codebase (for pattern inference)","file paths and change descriptions"],"output_types":["generated code across multiple files","import/export statements","type definitions and interfaces","configuration changes"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_10","uri":"capability://automation.workflow.branch.management.and.version.control.integration","name":"branch management and version control integration","description":"Automatically creates and manages Git branches for the implementation, handling branch creation, commits, and synchronization with the remote repository. Tracks the state of changes throughout the workflow and enables rollback or branch switching if needed. Integrates with GitHub's branch protection rules and status checks.","intents":["I want the generated code to be committed to a new branch automatically","I need to manage multiple implementation branches for different issues","I want to keep my main branch clean while working on the implementation","I need to sync with the remote repository to avoid conflicts"],"best_for":["teams using Git for version control with branch-based workflows","projects with branch protection rules that require PR review","developers who want automated branch management without manual Git commands"],"limitations":["Cannot resolve merge conflicts automatically — requires manual intervention","Branch creation may fail if the repository has naming conventions or restrictions","Commits are created with a generic message — may need manual editing for clarity","Cannot handle complex Git workflows (e.g., rebase, cherry-pick)","Synchronization with remote may fail if the branch has diverged significantly"],"requires":["GitHub repository with write access","Git configured in the workspace","Copilot Workspace access"],"input_types":["issue identifier","generated code changes","branch naming conventions (if any)"],"output_types":["created Git branch","commits with change summary","branch status and synchronization state"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_11","uri":"capability://text.generation.language.documentation.generation.from.implementation","name":"documentation generation from implementation","description":"Automatically generates documentation for the implemented changes, including API documentation, usage examples, and change summaries. Analyzes the generated code to extract docstrings, type signatures, and architectural decisions, then synthesizes them into human-readable documentation. Integrates with the repository's documentation system (Markdown, Sphinx, etc.).","intents":["I want documentation generated automatically for the new code","I need API documentation that matches the generated implementation","I want usage examples that show how to use the new features","I need to document architectural decisions made during implementation"],"best_for":["projects with comprehensive documentation requirements","teams where documentation is as important as code","developers who want to reduce the burden of writing documentation"],"limitations":["Generated documentation may be generic or lack domain-specific context","Cannot generate documentation for undocumented external APIs or dependencies","Documentation quality depends on code clarity and type annotations","May miss important architectural decisions that aren't reflected in code","Requires manual review and editing for accuracy and completeness"],"requires":["Generated code with type annotations and docstrings","Repository with documentation infrastructure (Markdown, Sphinx, etc.)","Copilot Workspace access"],"input_types":["generated code","implementation plan","existing documentation style and format"],"output_types":["API documentation","usage examples","change summary","architectural decision records"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_12","uri":"capability://automation.workflow.mobile.accessible.development.environment","name":"mobile-accessible development environment","description":"Workspace is accessible from mobile devices via the GitHub mobile app, enabling development and code review from anywhere. The interface is optimized for mobile interaction, allowing developers to review plans, edit code, and manage PRs without a desktop. This enables truly location-independent development workflows.","intents":["I want to work on code from my mobile device","I need to review and approve AI-generated code on the go","I want to manage PRs from mobile","I need to access my workspace from anywhere"],"best_for":["remote teams and distributed developers","developers who work from multiple locations","teams that need asynchronous code review"],"limitations":["Mobile UI capabilities unknown","Code editing on mobile may be limited","Terminal access on mobile unknown","Performance on mobile networks unknown","Supported mobile platforms unknown"],"requires":["GitHub mobile app","Mobile device (iOS or Android)","Internet connectivity"],"input_types":["Workspace state","Mobile user input"],"output_types":["Mobile-optimized UI","Code changes","PR actions"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_2","uri":"capability://code.generation.editing.automated.test.generation.and.validation","name":"automated test generation and validation","description":"Generates test cases based on the implementation plan and generated code, then executes tests against the changes to validate correctness. Uses code analysis to identify critical paths, edge cases, and error conditions, then generates unit and integration tests. Integrates with the repository's test runner (Jest, pytest, etc.) to provide real-time feedback on code quality.","intents":["I want tests written automatically for the code that was generated","I need to validate that my changes don't break existing functionality","I want to see test coverage metrics for the generated code","I need confidence that the implementation actually works before merging"],"best_for":["teams with existing test infrastructure and CI/CD pipelines","projects where test coverage is a hard requirement","developers working on critical systems where validation is non-negotiable"],"limitations":["Test generation quality depends on code clarity — poorly documented functions produce weak tests","Cannot generate tests for external API calls without mocking setup","May miss edge cases specific to business logic or domain constraints","Test execution requires the repository's test environment to be properly configured","No built-in mutation testing to verify test quality"],"requires":["Repository with existing test framework (Jest, pytest, JUnit, etc.)","Test runner must be executable in the Workspace environment","Dependencies must be installable (npm, pip, maven, etc.)","Copilot Workspace access"],"input_types":["generated code from previous step","existing test files (for pattern matching)","implementation plan with acceptance criteria"],"output_types":["generated test files (unit and integration tests)","test execution results (pass/fail)","coverage reports","failure diagnostics"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_3","uri":"capability://memory.knowledge.codebase.context.indexing.and.retrieval","name":"codebase context indexing and retrieval","description":"Indexes the repository's codebase to enable semantic understanding of existing code structure, patterns, and conventions. Uses embeddings or AST analysis to build a searchable index of functions, classes, types, and architectural patterns. Retrieves relevant code snippets during planning and generation to inform decisions about naming, structure, and API design.","intents":["I want generated code to follow the same patterns as existing code in my repository","I need the AI to understand my project's architecture before suggesting changes","I want to find similar implementations in my codebase to use as templates","I need to ensure generated code is compatible with existing APIs and interfaces"],"best_for":["large repositories (10k+ lines) with established patterns and conventions","teams with strict architectural standards that must be maintained","projects where consistency across the codebase is critical for maintainability"],"limitations":["Indexing adds latency to the initial workspace setup (may take 30-60 seconds for large repos)","Cannot index private dependencies or external libraries effectively","Pattern inference may fail for novel or custom architectural approaches","Index becomes stale if code changes during the session — requires refresh","Retrieval may return false positives for ambiguous patterns"],"requires":["GitHub repository with readable source code","Repository size must be reasonable (< 1GB) for indexing to complete","Copilot Workspace access"],"input_types":["repository source code","file structure and organization","existing type definitions and interfaces"],"output_types":["indexed codebase representation","retrieved code snippets and patterns","architectural insights and recommendations"],"categories":["memory-knowledge","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_4","uri":"capability://text.generation.language.interactive.implementation.refinement.and.iteration","name":"interactive implementation refinement and iteration","description":"Provides a conversational interface to refine the implementation plan, generated code, and test results through multi-turn dialogue. Allows developers to request changes, ask clarifying questions, and iterate on the solution without leaving the workspace. Uses conversation history to maintain context across refinement cycles and understand developer intent.","intents":["I want to ask follow-up questions about the generated implementation","I need to request changes to the code without starting from scratch","I want to explore alternative approaches before committing to the implementation","I need to explain domain-specific constraints that the AI missed"],"best_for":["developers working on complex features with evolving requirements","teams where the implementation plan needs stakeholder review and feedback","solo developers who want to iterate quickly without manual code editing"],"limitations":["Conversation context is limited to the current session — no persistence across workspace restarts","Each refinement cycle requires re-analysis of the codebase, adding latency","AI may misinterpret developer intent if requests are ambiguous or contradictory","No built-in conflict resolution if refinements conflict with previous decisions","Refinements may introduce inconsistencies if not carefully reviewed"],"requires":["Active Copilot Workspace session","GitHub repository access","Copilot Workspace access"],"input_types":["natural language requests and questions","feedback on generated code","clarifications on requirements"],"output_types":["refined implementation plan","updated code changes","explanations and rationale","alternative approaches"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_5","uri":"capability://automation.workflow.pull.request.generation.and.github.integration","name":"pull request generation and github integration","description":"Automatically creates a pull request with the generated code changes, test files, and implementation summary. Includes a detailed description of the changes, links to the original issue, and references to the implementation plan. Integrates with GitHub's PR workflow to enable code review and CI/CD pipeline execution.","intents":["I want to create a PR automatically from the generated code","I need a well-formatted PR description that explains the changes","I want the PR to be linked to the original issue automatically","I want to trigger CI/CD checks before merging"],"best_for":["teams using GitHub for version control and code review","projects with automated CI/CD pipelines that validate PRs","developers who want to streamline the PR creation process"],"limitations":["PR creation requires write access to the repository","Cannot automatically resolve merge conflicts if the branch has diverged","PR description is generated and may need manual editing for clarity","No built-in approval workflow — still requires human code review","CI/CD checks must be configured in the repository to run automatically"],"requires":["GitHub repository with write access","GitHub account with permission to create PRs","Copilot Workspace access","Repository must have a default branch configured"],"input_types":["generated code changes","implementation plan","test results","original GitHub issue"],"output_types":["pull request on GitHub","PR description with change summary","links to related issues","CI/CD check results"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_6","uri":"capability://data.processing.analysis.language.and.framework.detection.with.pattern.learning","name":"language and framework detection with pattern learning","description":"Automatically detects the programming language, framework, and architectural patterns used in the repository. Analyzes file extensions, import statements, configuration files, and code structure to understand the tech stack. Uses this detection to inform code generation, test generation, and pattern matching throughout the workflow.","intents":["I want the AI to understand my project's tech stack without me explaining it","I need generated code to use the same frameworks and libraries as my project","I want tests generated in the same testing framework as my existing tests","I need the AI to follow my project's architectural patterns automatically"],"best_for":["polyglot teams working with multiple languages and frameworks","projects with non-standard or custom framework configurations","developers who want minimal setup and configuration"],"limitations":["Detection may fail for monorepos with multiple languages and frameworks","Custom or internal frameworks may not be recognized","Detection is based on static analysis — cannot understand runtime behavior","May misidentify framework version or configuration if not explicitly declared","Requires repository to follow standard naming conventions and structure"],"requires":["GitHub repository with readable source code","Standard file structure and naming conventions","Configuration files (package.json, requirements.txt, pom.xml, etc.) if present"],"input_types":["repository file structure","source code files","configuration files"],"output_types":["detected language and version","identified frameworks and libraries","architectural pattern classification","testing framework detection"],"categories":["data-processing-analysis","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_7","uri":"capability://code.generation.editing.error.diagnosis.and.fix.suggestion","name":"error diagnosis and fix suggestion","description":"Analyzes test failures, compilation errors, and runtime errors to diagnose root causes and suggest fixes. Uses error messages, stack traces, and code analysis to identify the problem and propose corrections. Integrates with the test execution pipeline to provide immediate feedback when generated code fails validation.","intents":["I want to understand why the generated code is failing tests","I need suggestions for how to fix compilation or runtime errors","I want to see the root cause of test failures, not just the error message","I need to iterate quickly when generated code has bugs"],"best_for":["developers working on complex features where generated code may have subtle bugs","teams with strict quality requirements where all tests must pass before review","projects where error diagnosis is time-consuming due to complex dependencies"],"limitations":["Diagnosis accuracy depends on error message clarity — cryptic errors may be misdiagnosed","Cannot diagnose errors in external dependencies or third-party libraries","May suggest fixes that address symptoms rather than root causes","No built-in learning — same errors may be diagnosed differently in different contexts","Requires test execution to complete before diagnosis can begin"],"requires":["Test framework configured and executable in the workspace","Error messages and stack traces from test execution","Copilot Workspace access"],"input_types":["error messages and stack traces","generated code","test files","execution logs"],"output_types":["root cause analysis","suggested fixes with code snippets","explanation of the problem","alternative approaches"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_8","uri":"capability://planning.reasoning.implementation.plan.visualization.and.review","name":"implementation plan visualization and review","description":"Presents the implementation plan in a visual, interactive format that shows the breakdown of tasks, affected files, dependencies, and estimated effort. Allows developers to review the plan, ask questions, and request changes before code generation begins. Uses diagrams, timelines, or dependency graphs to make the plan easy to understand and validate.","intents":["I want to see a visual breakdown of the work before code generation starts","I need to understand which files will be affected and how they relate","I want to identify potential issues or blockers in the plan before coding","I need to share the plan with stakeholders for review and approval"],"best_for":["teams with formal code review and planning processes","projects where implementation plans must be approved before coding begins","developers who want to validate the approach before investing time in code generation"],"limitations":["Visualization is static — cannot show dynamic dependencies or runtime behavior","Estimated effort may be inaccurate for novel or complex features","Plan visualization may be overwhelming for very large features with many files","No built-in approval workflow — requires manual sign-off outside the workspace"],"requires":["Copilot Workspace access","GitHub issue with clear requirements"],"input_types":["implementation plan (structured data)","repository structure","issue requirements"],"output_types":["visual plan representation","task breakdown with dependencies","file impact analysis","effort estimates"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__cap_9","uri":"capability://code.generation.editing.code.diff.visualization.and.change.review","name":"code diff visualization and change review","description":"Displays generated code changes in a side-by-side diff view that highlights additions, deletions, and modifications. Shows the impact of changes on the codebase, including affected functions, modified APIs, and breaking changes. Integrates with GitHub's diff viewer for consistency with the PR review experience.","intents":["I want to see exactly what code was generated and how it differs from the original","I need to identify breaking changes or API modifications before merging","I want to review the generated code for quality and correctness","I need to understand the scope of changes across multiple files"],"best_for":["developers who want to review generated code before committing","teams with strict code review processes","projects where understanding the full scope of changes is critical"],"limitations":["Diff view may be difficult to navigate for very large changes (100+ files)","Cannot show semantic changes that don't affect syntax (e.g., logic refactoring)","Diff highlighting may miss subtle changes in whitespace or formatting","No built-in annotation system for leaving review comments"],"requires":["Generated code changes","Original codebase for comparison","Copilot Workspace access"],"input_types":["original code","generated code changes","file paths and line numbers"],"output_types":["side-by-side diff view","change summary with statistics","impact analysis"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"copilot-workspace__headline","uri":"capability://code.generation.editing.ai.native.development.environment","name":"ai-native development environment","description":"A comprehensive AI-native development environment that transforms GitHub issues into complete implementation plans, generates code changes, and validates them through integrated testing, enhancing developer productivity.","intents":["best AI-native development environment","AI-native development environment for project management","top tools for automating code generation","AI tools for GitHub integration","best coding assistants for developers"],"best_for":[],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":58,"verified":false,"data_access_risk":"high","permissions":["GitHub account with access to the repository","Issue must be created in a GitHub repository","Copilot Workspace access (currently in limited beta)","GitHub repository with readable source code","Repository must be in a supported language (JavaScript/TypeScript, Python, Java, Go, C#, etc.)","Copilot Workspace access","GitHub repository with write access","Git configured in the workspace","Generated code with type annotations and docstrings","Repository with documentation infrastructure (Markdown, Sphinx, etc.)"],"failure_modes":["Plan quality depends on issue description clarity — vague issues produce generic plans","Cannot access issue history or linked PRs to infer context beyond the issue body","Plans may miss domain-specific constraints not explicitly stated in the issue","No built-in feedback loop to refine plans based on developer input before code generation","Cannot modify files it doesn't have read access to in the repository","May generate redundant imports or miss circular dependency issues in complex graphs","Pattern inference works best for common frameworks (React, Express, Django) — custom patterns may not be recognized","No rollback mechanism if generated code introduces breaking changes across files","Cannot resolve merge conflicts automatically — requires manual intervention","Branch creation may fail if the repository has naming conventions or restrictions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.548Z","last_scraped_at":null,"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=copilot-workspace","compare_url":"https://unfragile.ai/compare?artifact=copilot-workspace"}},"signature":"s5zDcZ1koHMObG+XXt+nUQ4Ewj6ISXfPGqi/VUX+x2zC/JPIqhpz9oQiT9A81EHwRzg23v9GHIdRLFn4gjInDg==","signedAt":"2026-06-22T03:50:11.941Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/copilot-workspace","artifact":"https://unfragile.ai/copilot-workspace","verify":"https://unfragile.ai/api/v1/verify?slug=copilot-workspace","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"}}