{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-kodu-ai-claude-dev-experimental","slug":"azad-coder-gpt-5-claude","name":"Azad Coder (GPT 5 & Claude)","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=kodu-ai.claude-dev-experimental","page_url":"https://unfragile.ai/azad-coder-gpt-5-claude","categories":["code-editors"],"tags":["agentic","AI","aider","anthropic ai","automation","autonomous coding","chatgpt","Claude","claude dev","code completion","code with claude","codegpt","codestrall","coding agent","coding assistant","copilot","github","json","jsonc","keybindings","llama","mistral","no code ai","no-code","productivity","sonnet"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-kodu-ai-claude-dev-experimental__cap_0","uri":"capability://code.generation.editing.multi.file.codebase.editing.with.agentic.refactoring","name":"multi-file codebase editing with agentic refactoring","description":"Enables the AI agent to read, write, and modify multiple files across a workspace in coordinated operations, with support for advanced refactoring patterns. The agent maintains context across file boundaries and can perform cross-file dependency analysis to execute coherent multi-file transformations. Integration occurs through VS Code's file system API, allowing the agent to stage edits with preview and rollback capabilities before committing changes.","intents":["I need to refactor a class across multiple files and update all imports automatically","I want the AI to create a new feature that requires changes to 5+ files at once","I need to rename a function and have all call sites updated in one operation"],"best_for":["teams refactoring large codebases with complex interdependencies","solo developers building features that span multiple modules","developers migrating between architectural patterns (e.g., monolith to microservices)"],"limitations":["Refactoring scope is limited to workspace-accessible files; cannot modify files outside VS Code workspace root","No built-in conflict resolution for concurrent edits from multiple developers","Preview and rollback rely on VS Code's undo stack; no persistent transaction log across sessions"],"requires":["Visual Studio Code (version unspecified, likely 1.80+)","Active API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits (cost varies by file count and refactoring complexity)"],"input_types":["source code files (JavaScript, TypeScript, Python, Java, etc.)","configuration files (JSON, YAML, TOML)","markup files (HTML, JSX, Vue)"],"output_types":["modified source code files","refactoring summary with change manifest","rollback snapshots for preview"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_1","uri":"capability://automation.workflow.autonomous.terminal.command.execution.with.error.recovery","name":"autonomous terminal command execution with error recovery","description":"Allows the AI agent to execute shell commands in the VS Code integrated terminal, capture output and error streams, and autonomously recover from failures by analyzing error messages and retrying with corrected commands. The agent has access to the full shell environment (bash, zsh, PowerShell) and can chain commands, manage processes, and interpret exit codes. Built-in error reporting surfaces failures to the user with suggested remediation steps.","intents":["I want the AI to run my build pipeline and fix compilation errors automatically","I need to execute a complex deployment script and have the AI handle transient failures","I want the AI to run tests and debug failing test cases by analyzing error output"],"best_for":["DevOps engineers automating CI/CD workflows within the editor","full-stack developers debugging build and runtime errors","teams using complex build systems (Gradle, Maven, Webpack) that require iterative fixes"],"limitations":["Terminal execution is scoped to the VS Code workspace; cannot execute arbitrary system commands outside the project context","No built-in timeout enforcement; long-running commands may consume credits without bounds unless task budgeting is configured","Error recovery is heuristic-based; the agent may misinterpret error messages and suggest incorrect fixes","No support for interactive terminal sessions (e.g., password prompts, user input during execution)"],"requires":["Visual Studio Code with integrated terminal support","Shell environment (bash, zsh, PowerShell, or cmd.exe depending on OS)","API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits; each command execution and retry consumes credits"],"input_types":["shell commands (bash, PowerShell, zsh syntax)","environment variables from VS Code terminal context","exit codes and stderr/stdout streams"],"output_types":["command execution results (stdout, stderr)","error analysis and remediation suggestions","execution logs with timestamps"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_10","uri":"capability://automation.workflow.configurable.task.budgeting.with.autonomous.execution.guardrails","name":"configurable task budgeting with autonomous execution guardrails","description":"Allows users to set hard limits on task execution parameters (maximum time, maximum conversation turns, maximum credit spend) before launching autonomous execution. The agent monitors resource consumption in real-time and stops execution when any budget is exceeded, preventing runaway costs or infinite loops. Budget constraints are enforced at the task level and sub-task level, enabling fine-grained resource allocation. Users can configure default budgets for different task types.","intents":["I want to set a $10 monthly budget for AI-assisted coding and have the agent stop when the budget is reached","I need to limit a refactoring task to 30 minutes of execution time to avoid blocking my team","I want to set a maximum of 10 conversation turns for a task to prevent the agent from overthinking"],"best_for":["organizations with strict AI spending budgets","teams running autonomous tasks that need execution time limits","developers who want to prevent runaway costs from failed or infinite-loop tasks"],"limitations":["Budget enforcement is approximate; the agent may exceed budgets slightly due to latency in monitoring","No built-in cost estimation; users cannot predict credit consumption before setting budgets","Budget constraints may cause tasks to fail prematurely if budgets are set too low","No built-in mechanism to adjust budgets dynamically based on task progress"],"requires":["API key for Claude Sonnet 4.5 or GPT-5","Active subscription with available credits"],"input_types":["maximum execution time (minutes or hours)","maximum conversation turns","maximum credit spend"],"output_types":["budget configuration confirmation","real-time resource consumption metrics","budget exceeded notifications","task termination confirmation"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_11","uri":"capability://memory.knowledge.intelligent.context.switching.across.multi.workspace.projects","name":"intelligent context switching across multi-workspace projects","description":"Enables the agent to maintain separate context and state for multiple VS Code workspaces, automatically switching between them based on the active editor window. The agent can track which files and tasks belong to which workspace, avoid cross-workspace contamination, and maintain independent execution histories per workspace. This allows developers working on multiple projects simultaneously to use Azad without manual context resets.","intents":["I'm working on two projects simultaneously and want the AI to maintain separate context for each","I need the AI to avoid mixing code from different projects when making suggestions","I want to switch between projects without resetting the AI's understanding of each project"],"best_for":["developers working on multiple projects or microservices","teams with monorepo structures requiring workspace-level isolation","consultants or contractors working on multiple client projects"],"limitations":["Context switching is automatic but may have latency; the agent may briefly use stale context if workspace changes quickly","No built-in mechanism to share context across workspaces; each workspace maintains independent state","Workspace detection relies on VS Code's workspace API; custom or nested workspace structures may not be detected correctly"],"requires":["Visual Studio Code with multi-workspace support","Multiple workspaces open in the same VS Code instance"],"input_types":["workspace identifiers and paths","active editor window context"],"output_types":["workspace-specific context confirmation","per-workspace execution logs","workspace isolation verification"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_12","uri":"capability://tool.use.integration.parallel.multi.tool.invocation.with.coordinated.execution","name":"parallel multi-tool invocation with coordinated execution","description":"Enables the agent to invoke multiple tools (file editing, terminal execution, browser automation, web search) in parallel within a single reasoning turn, coordinating results and handling dependencies. The agent can execute independent operations concurrently (e.g., run tests while editing files) and wait for results before proceeding. Tool invocation is orchestrated through a schema-based function registry that defines tool signatures, parameters, and return types.","intents":["I want the AI to run tests in parallel with code edits to validate changes as they're made","I need the AI to search for documentation while simultaneously refactoring code","I want the AI to execute multiple independent shell commands in parallel to speed up builds"],"best_for":["teams with complex workflows requiring parallel operations","developers optimizing for execution speed by parallelizing independent tasks","CI/CD workflows that benefit from concurrent tool invocation"],"limitations":["Parallel execution may lead to race conditions if tools modify overlapping resources (e.g., same files)","No built-in conflict resolution; the agent must handle conflicts manually or through explicit locking","Parallel execution consumes more credits than sequential execution due to concurrent API calls","Tool dependencies are not automatically detected; the agent may execute tools in incorrect order if dependencies are not explicitly specified"],"requires":["API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits for parallel tool invocation"],"input_types":["tool definitions with signatures and parameters","tool dependencies and execution order constraints","parallel execution hints"],"output_types":["parallel tool execution results","coordinated output from multiple tools","conflict detection and resolution logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_13","uri":"capability://tool.use.integration.free.tier.with.limited.credits.and.upgrade.path","name":"free tier with limited credits and upgrade path","description":"Offers a free tier with 2.5 one-time credits, allowing new users to try Azad without payment. Free tier users have access to basic capabilities (code editing, terminal execution) but cannot access premium features (cloud execution, BYOK, remote monitoring). Upgrade paths to Developer ($20/mo, 15 credits/month) and Pro ($200/mo, 160 credits/month) tiers provide increasing credit allowances and feature access. Credit consumption varies by operation type and model selection.","intents":["I want to try Azad without committing to a paid subscription","I need to evaluate whether Azad is worth the cost before upgrading","I want to use Azad for occasional coding tasks without a monthly subscription"],"best_for":["individual developers evaluating AI coding assistants","students and hobbyists with limited budgets","teams piloting Azad before committing to paid subscriptions"],"limitations":["Free tier credits (2.5) are one-time only; no monthly replenishment","Free tier users cannot access cloud execution, BYOK, or remote monitoring","Credit consumption is opaque; users cannot predict how many operations the 2.5 credits will support","Free tier may have lower priority for API rate limits or inference resources"],"requires":["Visual Studio Code","No payment required for free tier"],"input_types":["subscription tier selection","payment information (for paid tiers)"],"output_types":["subscription confirmation","credit balance and usage tracking","upgrade prompts when credits are depleted"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_2","uri":"capability://search.retrieval.web.search.and.third.party.documentation.retrieval","name":"web search and third-party documentation retrieval","description":"Integrates real-time web search and documentation lookup capabilities, allowing the agent to fetch current information from the internet and retrieve API documentation, library references, and technical articles. The agent can search for solutions to coding problems, retrieve framework documentation, and synthesize information from multiple sources to inform code generation. Search results are ranked and filtered to prioritize relevant, authoritative sources.","intents":["I need the AI to look up the latest API documentation for a library I'm using","I want the AI to search for solutions to an error message and implement the fix","I need the AI to find best practices for a specific architectural pattern and apply them"],"best_for":["developers working with rapidly-evolving libraries and frameworks","teams adopting new technologies and needing real-time documentation access","developers debugging unfamiliar error messages by searching for solutions"],"limitations":["Search results are time-dependent; may return outdated or deprecated information if sources are not maintained","No built-in source verification; the agent may cite or implement solutions from low-quality or incorrect sources","Search queries consume credits; excessive searches can deplete monthly allowance","Rate-limited by underlying search provider; high-volume searches may be throttled"],"requires":["Active internet connection","API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits for search operations"],"input_types":["natural language search queries","error messages and stack traces","library or framework names"],"output_types":["search results with source URLs","extracted documentation snippets","synthesized solutions with citations"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_3","uri":"capability://tool.use.integration.browser.automation.with.playwright.integration","name":"browser automation with playwright integration","description":"Enables the AI agent to control a headless or headed browser instance using Playwright, allowing it to automate complex web interactions, scrape data, test web applications, and validate UI behavior. The agent can navigate pages, fill forms, click elements, wait for dynamic content, and capture screenshots or DOM state. Playwright integration provides cross-browser support (Chromium, Firefox, WebKit) and handles browser lifecycle management.","intents":["I need the AI to automate a multi-step web workflow (login, form submission, data extraction)","I want the AI to test my web application by simulating user interactions and validating responses","I need the AI to scrape data from a website and structure it for processing"],"best_for":["QA engineers automating end-to-end web testing workflows","developers building web scrapers or data extraction pipelines","teams testing complex user flows that require multi-step browser interactions"],"limitations":["Browser automation is slower than direct API calls; each interaction incurs latency and credit consumption","Cannot interact with browser extensions or system-level dialogs (file uploads, print dialogs)","No support for WebRTC or peer-to-peer connections; limited to standard HTTP/HTTPS interactions","Playwright requires browser binaries (Chromium, Firefox, WebKit) which add ~200MB disk overhead","Dynamic JavaScript-heavy sites may require explicit wait conditions; the agent may timeout on slow-loading content"],"requires":["Playwright library installed (npm install playwright or equivalent)","Browser binaries (Chromium, Firefox, or WebKit) installed via Playwright","API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits; browser automation operations consume credits per interaction"],"input_types":["URLs and navigation targets","CSS selectors or XPath expressions for element targeting","form data and input values","wait conditions (element visibility, network idle, etc.)"],"output_types":["browser automation results (success/failure)","extracted data (text, attributes, DOM snapshots)","screenshots and visual state captures","error logs from failed interactions"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_4","uri":"capability://planning.reasoning.agentic.task.decomposition.with.sub.task.orchestration","name":"agentic task decomposition with sub-task orchestration","description":"Enables the agent to break down complex coding tasks into smaller, manageable sub-tasks with independent execution contexts and budgets. Each sub-task can have its own time limit, turn limit, and credit budget, allowing the agent to allocate resources strategically. The agent maintains state across sub-tasks, enabling sequential or parallel execution with explicit handoff points. Sub-tasks can be monitored, paused, or rolled back independently.","intents":["I need the AI to break down a large feature into smaller tasks and execute them with independent budgets","I want to set a total time/cost limit for a complex refactoring and have the AI optimize within that constraint","I need the AI to execute multiple independent tasks in parallel and consolidate results"],"best_for":["teams executing large-scale refactorings or migrations with strict time/cost constraints","developers building complex features that benefit from task-level parallelization","organizations with strict budgets needing fine-grained control over AI spending"],"limitations":["Sub-task decomposition is heuristic-based; the agent may create inefficient task boundaries or miss dependencies","No built-in inter-task communication beyond shared context; sub-tasks cannot directly pass data to each other","Parallel sub-task execution may lead to race conditions if tasks modify overlapping files","Sub-task rollback is independent; rolling back one sub-task does not automatically rollback dependent sub-tasks"],"requires":["API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits to cover all sub-tasks and retries","Configuration of task budgets (time, turns, cost) before execution"],"input_types":["high-level task description","budget constraints (max time, max turns, max cost)","task dependencies and execution order"],"output_types":["sub-task decomposition plan","per-task execution results and logs","consolidated task summary with resource usage"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_5","uri":"capability://automation.workflow.checkpoint.based.state.management.with.preview.and.rollback","name":"checkpoint-based state management with preview and rollback","description":"Maintains explicit checkpoints of workspace state (file contents, terminal state, browser state) at key points during execution, allowing users to preview changes before committing and rollback to any previous checkpoint. Checkpoints are created automatically after significant operations (multi-file edits, command execution) and can be manually created by the user. Rollback restores all modified files and state to the checkpoint without requiring git operations.","intents":["I want to review all changes the AI made before committing them to version control","I need to undo a failed refactoring and try a different approach without losing work","I want to compare the current state with a previous checkpoint to understand what changed"],"best_for":["developers who want to review AI-generated changes before committing","teams with strict code review processes requiring visibility into AI modifications","developers experimenting with multiple AI-suggested approaches and comparing results"],"limitations":["Checkpoints are stored in memory or local VS Code state; not persisted across editor restarts unless explicitly saved","Rollback does not interact with git; changes must be manually staged/committed after rollback","No built-in diff visualization; users must manually compare checkpoint contents","Checkpoint storage consumes memory; large workspaces with many checkpoints may impact editor performance"],"requires":["Visual Studio Code","Active workspace with files to checkpoint"],"input_types":["workspace state (file contents, terminal output, browser state)","checkpoint labels and metadata"],"output_types":["checkpoint snapshots with file diffs","rollback confirmations","state comparison reports"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_6","uri":"capability://tool.use.integration.multi.model.inference.with.cost.optimized.execution.modes","name":"multi-model inference with cost-optimized execution modes","description":"Supports multiple AI models (Claude Sonnet 4.5, GPT-5) with configurable execution modes (Savings, Standard, Turbo) that trade off cost vs. capability. Savings mode reduces inference cost by ~50% (likely through quantization or smaller model variants), while Turbo mode increases cost by ~2x for higher-capability reasoning. The agent can automatically select models and modes based on task complexity, or users can manually override selection. Credit consumption varies by model, mode, and operation type.","intents":["I want to use GPT-5 for complex reasoning but Claude for simple tasks to optimize cost","I need to run a large batch of refactorings and want to use Savings mode to reduce costs","I want to set a monthly credit budget and have the AI automatically downgrade to cheaper models when approaching the limit"],"best_for":["organizations with strict AI spending budgets","developers working on cost-sensitive projects (e.g., startups, open-source)","teams needing to balance quality and cost across different task types"],"limitations":["Savings mode may produce lower-quality code or miss edge cases due to reduced model capability","Model selection is not automatic; users must manually choose models or configure selection rules","No built-in cost estimation; users cannot predict credit consumption before executing tasks","Credit consumption is opaque; no detailed breakdown of costs per operation or model"],"requires":["API keys for Claude Sonnet 4.5 and/or GPT-5 (depending on selected models)","Active subscription with available credits (Free: 2.5 one-time, Developer: 15/month, Pro: 160/month)"],"input_types":["model selection (Claude Sonnet 4.5 or GPT-5)","execution mode (Savings, Standard, Turbo)","task complexity hints"],"output_types":["model and mode selection confirmation","estimated credit consumption (if available)","actual credit usage after execution"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_7","uri":"capability://tool.use.integration.bring.your.own.key.byok.custom.model.support","name":"bring-your-own-key (byok) custom model support","description":"Allows users with Developer ($20/mo) or Pro ($200/mo) tier subscriptions to provide their own API keys for custom model endpoints, enabling integration with self-hosted models, alternative providers, or proprietary model deployments. BYOK configuration is managed through extension settings, and the agent can route requests to custom endpoints instead of Azad's hosted infrastructure. This enables organizations to maintain data privacy by keeping code and context local.","intents":["I need to use a self-hosted LLM model to keep all code and context within our infrastructure","I want to integrate a proprietary model from our organization's ML team","I need to use a model from an alternative provider (e.g., Mistral, Llama) for cost or compliance reasons"],"best_for":["enterprises with strict data residency or privacy requirements","organizations with proprietary models or fine-tuned variants","teams using open-source models (Llama, Mistral) for cost control"],"limitations":["BYOK configuration is not documented; exact supported endpoint formats and authentication methods are unknown","No built-in fallback if custom endpoint is unavailable; users must manually reconfigure","Custom models may not support all features (e.g., tool calling, function definitions) that Azad's hosted models support","BYOK is only available in paid tiers (Developer $20/mo, Pro $200/mo); free tier users cannot use custom models"],"requires":["Developer or Pro tier subscription ($20/mo or $200/mo)","API key or authentication credentials for custom model endpoint","Custom model endpoint URL (format and protocol unspecified)","Model must support OpenAI-compatible API or Anthropic API format (assumed)"],"input_types":["custom endpoint URL","API key or authentication credentials","model name or identifier"],"output_types":["BYOK configuration confirmation","model availability status","fallback notifications if endpoint is unavailable"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_8","uri":"capability://automation.workflow.remote.cloud.execution.with.mobile.monitoring","name":"remote cloud execution with mobile monitoring","description":"Enables users with Developer or Pro tier subscriptions to execute long-running tasks on Azad's cloud infrastructure while monitoring progress from anywhere, including mobile devices. Tasks are submitted to the cloud, executed asynchronously, and results are streamed back to the client. This allows users to start a complex refactoring or build task and monitor it from a mobile device or different machine without keeping VS Code open.","intents":["I want to start a long-running refactoring task and monitor it from my phone while away from my desk","I need to execute a task on cloud infrastructure to avoid consuming local machine resources","I want to run multiple tasks in parallel on cloud infrastructure without blocking my local editor"],"best_for":["teams with long-running CI/CD or refactoring tasks","developers who want to offload computation to cloud infrastructure","organizations needing to monitor AI-assisted tasks across distributed teams"],"limitations":["Remote execution adds latency compared to local execution; file transfers and network round-trips increase total execution time","Mobile monitoring interface is not documented; feature completeness and UX are unknown","No built-in task persistence; if the cloud service goes down, task state may be lost","Remote execution is only available in Developer ($20/mo) and Pro ($200/mo) tiers; free users cannot use cloud execution"],"requires":["Developer or Pro tier subscription ($20/mo or $200/mo)","Active internet connection","Azad cloud infrastructure availability"],"input_types":["task definition (code, commands, parameters)","execution context (workspace files, environment variables)"],"output_types":["task submission confirmation with task ID","real-time progress updates","execution results and logs","mobile-friendly status dashboard"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kodu-ai-claude-dev-experimental__cap_9","uri":"capability://planning.reasoning.multi.turn.agentic.reasoning.with.long.context.task.management","name":"multi-turn agentic reasoning with long-context task management","description":"Implements a multi-turn conversation loop where the agent can reason across multiple turns, maintain context across long-running tasks, and decompose complex problems into intermediate steps. The agent can ask clarifying questions, propose solutions, receive feedback, and refine its approach iteratively. Long-context support allows the agent to maintain awareness of previous decisions and avoid repeating work. Task segmentation enables the agent to break work into logical phases with explicit handoff points.","intents":["I want the AI to ask clarifying questions about my requirements before implementing a solution","I need the AI to propose multiple approaches and let me choose which one to pursue","I want the AI to learn from feedback on previous attempts and refine its approach"],"best_for":["developers working on ambiguous or exploratory tasks","teams with iterative development processes requiring feedback loops","complex refactorings or migrations requiring multiple decision points"],"limitations":["Multi-turn reasoning consumes more credits than single-turn operations; each turn incurs API costs","Long-context support may degrade performance if task history becomes very large (>100K tokens)","Agent reasoning is not transparent; users cannot inspect the agent's internal reasoning process","No built-in mechanism to constrain reasoning depth; the agent may enter infinite loops or circular reasoning"],"requires":["API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits for multi-turn execution"],"input_types":["initial task description","user feedback and clarifications","approval/rejection of proposed solutions"],"output_types":["clarifying questions from the agent","proposed solutions with trade-off analysis","refined solutions based on feedback","execution results and logs"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":48,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code (version unspecified, likely 1.80+)","Active API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits (cost varies by file count and refactoring complexity)","Visual Studio Code with integrated terminal support","Shell environment (bash, zsh, PowerShell, or cmd.exe depending on OS)","API key for Claude Sonnet 4.5 or GPT-5","Sufficient credits; each command execution and retry consumes credits","Active subscription with available credits","Visual Studio Code with multi-workspace support","Multiple workspaces open in the same VS Code instance"],"failure_modes":["Refactoring scope is limited to workspace-accessible files; cannot modify files outside VS Code workspace root","No built-in conflict resolution for concurrent edits from multiple developers","Preview and rollback rely on VS Code's undo stack; no persistent transaction log across sessions","Terminal execution is scoped to the VS Code workspace; cannot execute arbitrary system commands outside the project context","No built-in timeout enforcement; long-running commands may consume credits without bounds unless task budgeting is configured","Error recovery is heuristic-based; the agent may misinterpret error messages and suggest incorrect fixes","No support for interactive terminal sessions (e.g., password prompts, user input during execution)","Budget enforcement is approximate; the agent may exceed budgets slightly due to latency in monitoring","No built-in cost estimation; users cannot predict credit consumption before setting budgets","Budget constraints may cause tasks to fail prematurely if budgets are set too low","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.62,"quality":0.5,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:32.168Z","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=azad-coder-gpt-5-claude","compare_url":"https://unfragile.ai/compare?artifact=azad-coder-gpt-5-claude"}},"signature":"ovDC4HR3rDpGKQAdscx6tgNSM0r3pY6dbQzZgutA6unJtCzhaU/1NsL1d6Zsi2X92AwQAEVtov8qECudlpA2Cg==","signedAt":"2026-06-20T06:03:03.226Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/azad-coder-gpt-5-claude","artifact":"https://unfragile.ai/azad-coder-gpt-5-claude","verify":"https://unfragile.ai/api/v1/verify?slug=azad-coder-gpt-5-claude","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"}}