{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-aide-by-codestory","slug":"aide-by-codestory","name":"Aide by Codestory","type":"product","url":"https://codestory.ai/","page_url":"https://unfragile.ai/aide-by-codestory","categories":["code-editors"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-aide-by-codestory__cap_0","uri":"capability://code.generation.editing.codebase.aware.code.completion.with.multi.file.context","name":"codebase-aware code completion with multi-file context","description":"Analyzes the entire open codebase using AST parsing and semantic indexing to provide context-aware code completions that understand project structure, imports, and cross-file dependencies. 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Aide uses instruction-following LLM patterns combined with codebase context to generate code that integrates seamlessly with existing project structure, including proper imports and API usage patterns.","intents":["Write a function that does X without manually typing boilerplate","Generate a React component based on a description of its behavior","Create a database query or API endpoint from a specification"],"best_for":["Developers prototyping features quickly","Teams reducing time spent on routine code generation","Developers learning new frameworks or languages"],"limitations":["Generated code may require manual review for security-sensitive operations (auth, encryption)","Complex multi-step algorithms may need refinement beyond initial generation","Accuracy depends on clarity of natural language specification"],"requires":["VS Code 1.80 or later","Active internet connection for LLM inference","API key for underlying LLM provider (OpenAI, Anthropic, or local model)"],"input_types":["natural language text descriptions","code comments with intent markers"],"output_types":["source code in target language","multiple generation variants for selection"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_10","uri":"capability://code.generation.editing.intelligent.code.completion.with.intent.prediction","name":"intelligent code completion with intent prediction","description":"Predicts developer intent from partial code and context to suggest not just the next token but complete logical units (statements, blocks, functions). Uses multi-modal context including code structure, comments, type signatures, and recent edits to generate completions that match the developer's likely next action.","intents":["Complete a complex statement or block without typing each part","Get suggestions for the next logical step in a function","Auto-complete error handling or validation code","Generate boilerplate for common patterns (loops, conditionals, API calls)"],"best_for":["Developers writing code in familiar patterns","Teams with consistent coding conventions","Rapid prototyping and exploratory coding"],"limitations":["Intent prediction may be incorrect for unusual or novel code patterns","Completions may require editing for edge cases or special handling","Latency increases with context size and codebase complexity"],"requires":["VS Code 1.80 or later","Active internet connection for LLM inference","Codebase indexed for context"],"input_types":["partial code","cursor position","surrounding code context","type information"],"output_types":["completion suggestions","multi-line code blocks","ranked alternatives"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_11","uri":"capability://text.generation.language.ai.assisted.git.workflow.and.commit.message.generation","name":"ai-assisted git workflow and commit message generation","description":"Analyzes code changes to generate descriptive commit messages, suggest logical commit boundaries, and provide git workflow guidance. Examines diffs to understand the semantic meaning of changes and generates commit messages that follow project conventions and clearly describe what changed and why.","intents":["Generate a descriptive commit message from my changes","Get suggestions for splitting a large change into logical commits","Understand what changes I've made since the last commit","Get guidance on git workflow best practices for my changes"],"best_for":["Teams maintaining clear commit history","Developers improving code review clarity","Projects with strict commit message conventions"],"limitations":["Generated messages may lack context about why changes were made","Cannot understand business logic or feature requirements","Requires clear, understandable code changes to generate good messages"],"requires":["VS Code 1.80 or later","Git repository initialized","Staged or unstaged changes to analyze"],"input_types":["git diffs","file changes","branch context"],"output_types":["commit message suggestions","commit boundary recommendations","workflow guidance"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_2","uri":"capability://code.generation.editing.interactive.code.debugging.with.step.through.execution","name":"interactive code debugging with step-through execution","description":"Provides AI-assisted debugging by analyzing stack traces, variable states, and execution flow to identify root causes and suggest fixes. Aide integrates with VS Code's debugger to capture runtime context and uses LLM reasoning to correlate error symptoms with likely causes, then recommends targeted code modifications or configuration changes.","intents":["Understand why my code is crashing and get a fix suggestion","Debug a complex error that spans multiple files or async operations","Identify performance bottlenecks by analyzing execution traces"],"best_for":["Developers debugging unfamiliar codebases","Teams reducing time spent on root-cause analysis","Full-stack developers working across multiple languages"],"limitations":["Requires debugger support for the target language (not all languages equally supported)","Cannot debug issues that only occur in production without log ingestion","Accuracy limited by quality of error messages and stack traces provided"],"requires":["VS Code 1.80 or later","Language-specific debugger configured (Node.js, Python, Go, etc.)","Source maps for transpiled languages (TypeScript, JSX)"],"input_types":["stack traces","variable state snapshots","error messages","execution logs"],"output_types":["root cause analysis","suggested code fixes","debugging strategy recommendations"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_3","uri":"capability://code.generation.editing.code.refactoring.with.architectural.awareness","name":"code refactoring with architectural awareness","description":"Refactors code while preserving project architecture and maintaining backward compatibility by analyzing dependency graphs and usage patterns across the codebase. Uses AST transformations to safely rename symbols, extract functions, reorganize modules, and apply design patterns while automatically updating all references and imports.","intents":["Rename a function and update all call sites automatically","Extract a reusable utility function from duplicated code","Reorganize module structure without breaking imports","Apply a design pattern (e.g., factory, observer) to existing code"],"best_for":["Teams maintaining large codebases with complex dependencies","Developers improving code quality without manual search-and-replace","Projects migrating between architectural patterns"],"limitations":["Dynamic imports or string-based references may not be detected","Refactoring across language boundaries (e.g., Python calling JavaScript) requires manual verification","Large refactorings may require incremental application to avoid merge conflicts"],"requires":["VS Code 1.80 or later","Git or version control for safe rollback","Full codebase indexed and analyzed"],"input_types":["source code selections","refactoring intent descriptions","target architectural patterns"],"output_types":["refactored source code","list of modified files","impact analysis report"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_4","uri":"capability://code.generation.editing.code.review.and.quality.analysis.with.architectural.feedback","name":"code review and quality analysis with architectural feedback","description":"Analyzes code changes against project standards, design patterns, and best practices by examining diffs, comparing against codebase conventions, and applying architectural rules. Provides feedback on code quality, security issues, performance concerns, and style violations with specific suggestions for improvement and context about why changes are recommended.","intents":["Get automated feedback on my pull request before human review","Identify security vulnerabilities or performance issues in new code","Ensure my code follows project conventions and architectural patterns","Learn best practices by understanding why certain patterns are recommended"],"best_for":["Teams implementing code review processes","Projects with strict architectural or security standards","Developers learning codebase conventions"],"limitations":["Cannot detect issues requiring domain expertise or business logic understanding","May produce false positives for intentional deviations from patterns","Requires clear project conventions to be established in codebase"],"requires":["VS Code 1.80 or later","Git repository with commit history","Codebase indexed for pattern analysis"],"input_types":["code diffs","commit messages","project configuration files"],"output_types":["review comments with line-level feedback","severity-ranked issues (critical, warning, info)","improvement suggestions with examples"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_5","uri":"capability://code.generation.editing.test.generation.from.code.and.specifications","name":"test generation from code and specifications","description":"Automatically generates unit tests, integration tests, and edge-case tests by analyzing function signatures, code logic, and natural language specifications. Creates test cases that cover common paths, error conditions, and boundary cases, then generates assertions and mocking code appropriate to the testing framework used in the project.","intents":["Generate unit tests for a function without writing boilerplate","Create comprehensive test coverage including edge cases","Generate integration tests that verify API contracts","Create mocks and fixtures for complex test scenarios"],"best_for":["Teams improving test coverage quickly","Developers writing tests for legacy code","Projects with strict coverage requirements"],"limitations":["Generated tests may not cover domain-specific edge cases","Mocking complex external dependencies may require manual refinement","Test quality depends on clarity of function specifications"],"requires":["VS Code 1.80 or later","Testing framework installed (Jest, pytest, Go testing, etc.)","Source code with clear function signatures and documentation"],"input_types":["source code functions","function documentation and type signatures","natural language test specifications"],"output_types":["test code in project's testing framework","mock objects and fixtures","test data generators"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_6","uri":"capability://text.generation.language.documentation.generation.from.code","name":"documentation generation from code","description":"Generates API documentation, README sections, and inline comments by analyzing code structure, type signatures, and existing documentation patterns. Creates documentation that matches the project's style and detail level, including examples, parameter descriptions, return types, and usage patterns inferred from codebase analysis.","intents":["Generate API documentation for a new module or function","Create README sections describing project structure and usage","Add inline comments explaining complex logic","Generate TypeScript JSDoc or Python docstrings automatically"],"best_for":["Teams maintaining documentation alongside code","Open-source projects requiring comprehensive docs","Developers documenting legacy code"],"limitations":["Generated documentation may lack domain-specific context or examples","Requires existing documentation patterns to match style","Cannot infer business logic or architectural rationale"],"requires":["VS Code 1.80 or later","Source code with type annotations or JSDoc","Existing documentation examples for style matching"],"input_types":["source code","type signatures and annotations","existing documentation samples"],"output_types":["markdown documentation","inline code comments","JSDoc/docstring blocks","usage examples"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_7","uri":"capability://search.retrieval.natural.language.code.search.and.navigation","name":"natural language code search and navigation","description":"Enables searching and navigating code using natural language queries by converting descriptions into semantic code searches that find relevant functions, classes, and files. Uses embeddings and semantic indexing to match intent-based queries against codebase symbols and implementations, returning ranked results with context about usage patterns.","intents":["Find the function that handles user authentication","Locate all places where database queries are executed","Search for code that matches a specific pattern or behavior description","Navigate to related code without knowing exact function names"],"best_for":["Developers onboarding to unfamiliar codebases","Teams with large codebases where symbol names don't match intent","Developers exploring code architecture and dependencies"],"limitations":["Semantic search accuracy depends on code quality and naming conventions","May return false positives for ambiguous queries","Embedding generation adds latency for large codebases"],"requires":["VS Code 1.80 or later","Codebase indexed with semantic embeddings","Minimum 2GB RAM for embedding storage"],"input_types":["natural language queries","code snippets for similarity search"],"output_types":["ranked list of matching code locations","code snippets with context","usage examples"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_8","uri":"capability://code.generation.editing.multi.language.code.translation.and.migration","name":"multi-language code translation and migration","description":"Translates code between programming languages while preserving logic and adapting to target language idioms and libraries. Analyzes source code structure, type systems, and APIs, then generates equivalent implementations in the target language using appropriate patterns, error handling, and standard libraries for that language.","intents":["Migrate a JavaScript utility to Python","Convert a Java class to Go with idiomatic patterns","Port a TypeScript service to Rust","Translate SQL queries to an ORM-based approach"],"best_for":["Teams migrating between technology stacks","Developers learning new languages by translating familiar code","Projects requiring polyglot implementations"],"limitations":["Idiomatic translation requires deep knowledge of target language patterns","Type system differences may require manual refinement","Standard library differences may require API adaptation","Performance characteristics may differ significantly between languages"],"requires":["VS Code 1.80 or later","Source code with clear structure and type information","Knowledge of target language idioms and libraries"],"input_types":["source code in one language","target language specification"],"output_types":["translated code in target language","migration notes and API mappings","compatibility warnings"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-aide-by-codestory__cap_9","uri":"capability://text.generation.language.context.aware.code.explanation.and.learning","name":"context-aware code explanation and learning","description":"Explains code functionality, architectural decisions, and design patterns by analyzing implementation details and comparing against project conventions. Generates explanations at multiple detail levels (high-level overview, implementation details, design rationale) and connects code to relevant documentation, examples, and related implementations in the codebase.","intents":["Understand what a complex function does and why it's implemented that way","Learn how a design pattern is applied in the codebase","Get an overview of a module's architecture and responsibilities","Understand the relationship between different code components"],"best_for":["Developers onboarding to new codebases","Teams documenting architectural decisions","Developers learning from well-structured code examples"],"limitations":["Explanations may lack business context or domain expertise","Cannot explain intentional obfuscation or legacy workarounds","Quality depends on code clarity and existing documentation"],"requires":["VS Code 1.80 or later","Source code with reasonable clarity and structure","Optional: existing documentation for context"],"input_types":["source code selections","function or class definitions","code snippets with context"],"output_types":["natural language explanations","architectural diagrams or descriptions","related code examples","design pattern identification"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.80 or later","Local file system access to project root","Minimum 4GB RAM for codebase indexing","Active internet connection for LLM inference","API key for underlying LLM provider (OpenAI, Anthropic, or local model)","Codebase indexed for context","Git repository initialized","Staged or unstaged changes to analyze","Language-specific debugger configured (Node.js, Python, Go, etc.)","Source maps for transpiled languages (TypeScript, JSX)"],"failure_modes":["Indexing latency increases with codebase size (>100k files may require optimization)","Requires VS Code as the host editor — no standalone IDE support","Cross-language support limited to languages with mature AST parsers","Generated code may require manual review for security-sensitive operations (auth, encryption)","Complex multi-step algorithms may need refinement beyond initial generation","Accuracy depends on clarity of natural language specification","Intent prediction may be incorrect for unusual or novel code patterns","Completions may require editing for edge cases or special handling","Latency increases with context size and codebase complexity","Generated messages may lack context about why changes were made","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.370Z","last_scraped_at":"2026-05-03T14:00:10.321Z","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=aide-by-codestory","compare_url":"https://unfragile.ai/compare?artifact=aide-by-codestory"}},"signature":"6bXX4UAhXcnFDRgF8JVqr94S5jXZfsg+cDFuqnFaoWkCk4JPEFzQFzbF9mwpJBAoIUqQE2a1xD7eX1iS8jsMBQ==","signedAt":"2026-06-19T20:29:56.008Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/aide-by-codestory","artifact":"https://unfragile.ai/aide-by-codestory","verify":"https://unfragile.ai/api/v1/verify?slug=aide-by-codestory","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"}}