{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-augment-vscode-augment-nightly","slug":"augment-code-nightly","name":"Augment Code (Nightly)","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=augment.vscode-augment-nightly","page_url":"https://unfragile.ai/augment-code-nightly","categories":["code-editors"],"tags":["agents","ai","ai agents","artificial intelligence","assistant","autocomplete","c","c#","c++","chat","code completion","coding assistant","copilot","css","go","html","intellisense","java","javascript","keybindings","mcp","node.js","pair programming","php","python","react","remote agents","ruby","rust","swift","typescript"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-augment-vscode-augment-nightly__cap_0","uri":"capability://planning.reasoning.codebase.aware.agent.driven.task.completion","name":"codebase-aware agent-driven task completion","description":"Executes multi-file, multi-step coding tasks by leveraging a proprietary context engine that indexes and understands the entire codebase architecture, dependencies, and legacy patterns. The agent decomposes user intent into sequential edits across code, tests, and documentation, making decisions about which files to modify based on dependency graph analysis and architectural understanding rather than simple keyword matching.","intents":["I need to implement a new feature that touches multiple files and requires understanding how existing modules interact","Help me refactor a legacy component while ensuring all dependent code and tests are updated consistently","Solve a production issue by identifying root cause across the codebase and applying fixes to all affected locations"],"best_for":["teams working on large, complex codebases with intricate dependency graphs","developers maintaining legacy systems where architectural context is critical","solo developers who need multi-file coordination without manual context switching"],"limitations":["Nightly build status means experimental features and potential instability","Context engine scope and file size limits are undocumented — may struggle with extremely large monorepos","No documented support for private/proprietary code handling or data residency guarantees","Agent decision-making process is opaque — no visibility into why specific files were chosen for modification"],"requires":["VS Code (minimum version unknown)","Active workspace with codebase indexed by extension","Network connectivity for cloud-based context engine","Augment Code account with API credentials"],"input_types":["natural language task description","code context from open workspace"],"output_types":["multi-file code modifications","test updates","documentation changes"],"categories":["planning-reasoning","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-augment-vscode-augment-nightly__cap_1","uri":"capability://text.generation.language.codebase.aware.chat.with.deep.context.integration","name":"codebase-aware chat with deep context integration","description":"Provides conversational Q&A interface where the LLM has access to indexed codebase context, allowing it to answer architectural questions, explain design patterns, and discuss implementation details with reference to actual code. The chat maintains conversation history and can reference specific files, functions, and dependencies discovered during codebase indexing.","intents":["Ask questions about how a specific feature is implemented across the codebase","Get explanations of architectural decisions and design patterns used in the project","Plan new features by discussing dependencies and integration points with existing code"],"best_for":["new team members onboarding to complex projects","architects planning features with full codebase context","developers debugging issues by understanding system interactions"],"limitations":["Chat context window size is undocumented — may lose conversation history on very long discussions","No documented ability to cite specific line numbers or commit history","Deep integrations mentioned but not technically specified — unclear what data sources are actually accessible","Conversation history persistence and privacy handling not documented"],"requires":["VS Code with Augment Code extension installed","Indexed codebase (indexing mechanism and time unknown)","Network connectivity to cloud context engine"],"input_types":["natural language questions","codebase context from indexing"],"output_types":["natural language explanations","code references and examples"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-augment-vscode-augment-nightly__cap_2","uri":"capability://code.generation.editing.turn.by.turn.directional.code.editing.with.multi.file.coordination","name":"turn-by-turn directional code editing with multi-file coordination","description":"Implements a guided editing mode called 'Next Edit' that suggests and executes sequential code modifications across multiple files (code, tests, documentation) in response to user direction. Rather than generating entire solutions at once, it breaks changes into discrete steps, allowing users to review and approve each modification before proceeding to the next coordinated edit.","intents":["I want to make a change but need the AI to guide me step-by-step, updating tests and docs as I go","Refactor a function and have the AI automatically update all call sites and related tests in sequence","Add a new feature incrementally, with the AI suggesting which file to modify next"],"best_for":["developers who prefer iterative, reviewable changes over bulk generation","teams with strict code review processes requiring step-by-step visibility","projects where coordinated multi-file changes need validation at each step"],"limitations":["Step sequencing logic is undocumented — unclear how 'next' is determined or if user can override order","No documented rollback mechanism if a step introduces errors","Requires active user engagement for each step — not suitable for fully automated refactoring","Performance impact of sequential edits vs. batch operations unknown"],"requires":["VS Code with Augment Code extension","Open workspace with files to be edited","User interaction to approve each step"],"input_types":["user direction/intent","codebase context"],"output_types":["sequential code modifications","test updates","documentation changes"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-augment-vscode-augment-nightly__cap_3","uri":"capability://code.generation.editing.natural.language.code.instruction.execution","name":"natural language code instruction execution","description":"Accepts natural language instructions to add, modify, or remove code across single or multiple files. The instruction engine parses user intent and generates appropriate code changes, leveraging codebase context to ensure modifications align with existing patterns, style, and architecture. Instructions can target specific functions, classes, or entire modules.","intents":["Add a new method to a class with a natural language description of what it should do","Modify an existing function to handle a new edge case described in plain English","Remove deprecated code and update all references across the codebase"],"best_for":["developers who prefer describing intent over writing boilerplate code","rapid prototyping where code generation speed matters more than fine-grained control","teams with strong code style guides that the AI can learn and apply"],"limitations":["Instruction parsing is undocumented — unclear how ambiguous or complex instructions are handled","No documented ability to specify code style, formatting, or architectural constraints","Single instruction scope unclear — whether it can handle multi-step logical operations or requires sequential instructions","Error handling and validation of generated code not documented"],"requires":["VS Code with Augment Code extension","Clear natural language instruction","Codebase context indexed by extension"],"input_types":["natural language instruction","optional file/function selection"],"output_types":["generated or modified code","updated tests (if applicable)"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-augment-vscode-augment-nightly__cap_4","uri":"capability://code.generation.editing.context.aware.inline.code.completion","name":"context-aware inline code completion","description":"Generates real-time code suggestions as the user types, leveraging indexed codebase context to provide completions that align with project patterns, dependencies, and architectural conventions. Completions are triggered automatically or on-demand and consider multi-line context, function signatures, and imported modules to suggest relevant continuations.","intents":["Get intelligent autocomplete suggestions that understand my project's coding style and patterns","Complete function calls with correct parameters based on how they're used elsewhere in the codebase","Auto-complete imports and module references based on project structure"],"best_for":["developers working in large codebases where standard IDE autocomplete is insufficient","teams with strong architectural patterns that should be consistently applied","polyglot projects where language-specific context matters"],"limitations":["Completion latency is undocumented — may introduce typing delays on slower machines or networks","Trigger behavior (automatic vs. on-demand) not documented","No documented ability to disable completions in specific contexts (e.g., comments, strings)","Completion ranking algorithm is proprietary and not configurable","May conflict with VS Code's built-in IntelliSense or other completion providers"],"requires":["VS Code with Augment Code extension","Codebase indexed by context engine","Supported language (C, C#, C++, Go, Java, JavaScript, PHP, Python, Ruby, Rust, Swift, TypeScript, CSS, HTML)"],"input_types":["current editor context","partial code being typed"],"output_types":["code completion suggestions","optional documentation/signature hints"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-augment-vscode-augment-nightly__cap_5","uri":"capability://data.processing.analysis.multi.language.codebase.indexing.and.context.extraction","name":"multi-language codebase indexing and context extraction","description":"Automatically indexes the workspace codebase to extract architectural information, dependency graphs, module relationships, and code patterns. The indexing engine supports 13+ programming languages and builds an internal representation of the codebase structure that powers all other capabilities. Indexing runs in the background and updates incrementally as files change.","intents":["Enable the AI to understand my entire codebase structure without manual configuration","Automatically detect dependencies and module relationships for accurate code generation","Keep codebase context up-to-date as the project evolves"],"best_for":["teams with large, multi-language codebases","projects with complex dependency graphs and architectural constraints","developers who want AI assistance that understands project structure automatically"],"limitations":["Indexing scope and file size limits are undocumented","Indexing time for large codebases unknown — may impact editor responsiveness","No documented ability to exclude files or directories from indexing","Incremental update mechanism and refresh frequency not documented","Index storage location and size requirements unknown","No documented support for monorepos or workspace-level configuration"],"requires":["VS Code with Augment Code extension","Open workspace with supported language files","Sufficient disk space for index storage (size unknown)","Network connectivity for cloud-based indexing (if applicable)"],"input_types":["workspace file structure","source code files in supported languages"],"output_types":["indexed codebase representation","dependency graph","architectural metadata"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-augment-vscode-augment-nightly__cap_6","uri":"capability://tool.use.integration.vs.code.extension.integration.with.command.palette.and.sidebar.access","name":"vs code extension integration with command palette and sidebar access","description":"Integrates with VS Code's extension API to provide access to Augment Code features through command palette commands, sidebar panels, and keyboard shortcuts. The extension hooks into VS Code's editor lifecycle to enable inline completions, context menus, and status bar indicators for agent status and indexing progress.","intents":["Access Augment Code features through familiar VS Code UI patterns","Trigger agent tasks, chat, and editing features without leaving the editor","Monitor indexing progress and agent execution status"],"best_for":["VS Code users who want seamless AI integration without context switching","teams standardized on VS Code as their primary development environment","developers who prefer keyboard-driven workflows"],"limitations":["Integration UI patterns not documented — unclear if sidebar, inline, or command-palette-only","Keybindings not documented — users must discover or configure manually","Extension may conflict with other AI coding assistants (Copilot, Codeium) if both are active","Nightly build status means UI/UX may be unstable or subject to change","No documented support for VS Code Web or Remote Development scenarios"],"requires":["Visual Studio Code (minimum version unknown)","Augment Code extension installed from VS Code Marketplace","Augment Code account and API credentials"],"input_types":["VS Code editor context","user commands via command palette"],"output_types":["inline suggestions","sidebar panels","status indicators"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-augment-vscode-augment-nightly__cap_7","uri":"capability://code.generation.editing.polyglot.language.support.with.language.specific.context.awareness","name":"polyglot language support with language-specific context awareness","description":"Supports code generation, completion, and analysis across 13+ programming languages (C, C#, C++, Go, Java, JavaScript, PHP, Python, Ruby, Rust, Swift, TypeScript, CSS, HTML) with language-specific context awareness. The system understands language-specific patterns, idioms, package managers, and build systems to generate contextually appropriate code.","intents":["Get AI assistance in multiple programming languages within the same project","Generate code that follows language-specific conventions and best practices","Understand dependencies and imports in language-specific package managers"],"best_for":["polyglot teams working with multiple programming languages","full-stack projects mixing frontend (JavaScript/TypeScript) and backend (Python/Go/Java) code","teams migrating between languages who need consistent AI assistance"],"limitations":["Language support list is fixed — no documented ability to add custom language support","Language-specific context awareness depth is undocumented — unclear if it understands all idioms and patterns","No documented support for domain-specific languages (DSLs) or configuration languages","Performance may vary across languages due to different indexing complexity"],"requires":["VS Code with Augment Code extension","Source files in one of the 13 supported languages"],"input_types":["source code in supported languages","language-specific context (imports, dependencies)"],"output_types":["language-appropriate code","language-specific completions and suggestions"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-augment-vscode-augment-nightly__cap_8","uri":"capability://automation.workflow.freemium.pricing.model.with.nightly.experimental.access","name":"freemium pricing model with nightly experimental access","description":"Offers freemium pricing with free tier access to core features and premium tier for advanced capabilities. The nightly build provides early access to experimental features for users willing to accept instability in exchange for cutting-edge functionality. Pricing and feature tiers are not publicly documented in the marketplace listing.","intents":["Try Augment Code features without upfront cost commitment","Get early access to experimental features as a nightly build user","Evaluate whether premium tier features justify the cost for team adoption"],"best_for":["individual developers evaluating AI coding tools","early adopters willing to accept experimental instability for early access","teams considering enterprise adoption who want to pilot the tool first"],"limitations":["Pricing tiers and feature breakdown not documented in marketplace listing","Free tier limitations unknown — unclear what features are restricted","Nightly build is explicitly experimental and unstable — not recommended for production use","No documented SLA or support guarantees for free tier","Upgrade path and pricing for premium tier not specified"],"requires":["Augment Code account (free or paid)","VS Code with nightly extension installed"],"input_types":[],"output_types":[],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["VS Code (minimum version unknown)","Active workspace with codebase indexed by extension","Network connectivity for cloud-based context engine","Augment Code account with API credentials","VS Code with Augment Code extension installed","Indexed codebase (indexing mechanism and time unknown)","Network connectivity to cloud context engine","VS Code with Augment Code extension","Open workspace with files to be edited","User interaction to approve each step"],"failure_modes":["Nightly build status means experimental features and potential instability","Context engine scope and file size limits are undocumented — may struggle with extremely large monorepos","No documented support for private/proprietary code handling or data residency guarantees","Agent decision-making process is opaque — no visibility into why specific files were chosen for modification","Chat context window size is undocumented — may lose conversation history on very long discussions","No documented ability to cite specific line numbers or commit history","Deep integrations mentioned but not technically specified — unclear what data sources are actually accessible","Conversation history persistence and privacy handling not documented","Step sequencing logic is undocumented — unclear how 'next' is determined or if user can override order","No documented rollback mechanism if a step introduces errors","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.26,"quality":0.43,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.118Z","last_scraped_at":"2026-05-03T15:20:31.090Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=augment-code-nightly","compare_url":"https://unfragile.ai/compare?artifact=augment-code-nightly"}},"signature":"n3Wjp7xpSHGTOKQ0Lrh3qe/MkszfJKPQ7UJNUovEkHw4BCk14qjIIueoPx/f/QXTbgH1evOP79UEHyUmqKxnAw==","signedAt":"2026-06-20T06:27:43.608Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/augment-code-nightly","artifact":"https://unfragile.ai/augment-code-nightly","verify":"https://unfragile.ai/api/v1/verify?slug=augment-code-nightly","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"}}