{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-vscode-extension","slug":"vscode-extension","name":"VSCode Extension","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=blinky.blinky","page_url":"https://unfragile.ai/vscode-extension","categories":["browser-extensions"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-vscode-extension__cap_0","uri":"capability://planning.reasoning.autonomous.backend.bug.fixing.with.lsp.navigation","name":"autonomous-backend-bug-fixing-with-lsp-navigation","description":"Accepts natural language bug descriptions and reproduction steps, then autonomously navigates the codebase using VSCode's Language Server Protocol (GoToDefinition, GetAllReferences) combined with custom backend-specific tools (GetFilesRelevantToEndpoint) to identify root causes. The agent performs code triangulation across multiple files, executes reproduction steps via terminal integration, and generates fixes using match-and-replace editing rather than line-number-based modifications, with user review gates before applying changes.","intents":["I want to describe a bug I found and have an AI agent automatically locate and fix the backend code responsible","I need to trace a bug across multiple backend files without manually navigating the codebase","I want to run reproduction steps and have the agent analyze runtime behavior to pinpoint the issue","I need to apply code fixes with a safety review step before they're committed to my project"],"best_for":["backend developers debugging production issues in VSCode","teams with OpenAI API access looking to automate bug triage","developers working on monolithic backend systems with complex file dependencies"],"limitations":["Prompt length grows unbounded during agent execution, causing inference slowdown and increased confusion (acknowledged roadmap issue with no current mitigation)","Cannot automatically detect bugs — requires explicit user description and manual reproduction steps","Backend-only focus; cannot analyze or fix frontend code","Requires user to manually specify build/test commands and reproduction steps (documented as tedious friction point)","No concurrent agent execution support (unknown if multiple bugs can be debugged in parallel)","Port conflicts with build/test processes must be manually managed by user"],"requires":["VSCode (minimum version unknown)","OpenAI API key (stored locally in VSCode config)","Backend codebase with Language Server Protocol support","Terminal access to run build/test commands","Explicit reproduction steps provided by user"],"input_types":["natural language bug description","reproduction steps (text)","build/test command strings","backend source code (via LSP)"],"output_types":["code modifications (match-and-replace format)","file edit proposals for user review","debugging analysis (file references, call stacks)"],"categories":["planning-reasoning","code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_1","uri":"capability://tool.use.integration.lsp.powered.codebase.traversal.and.reference.resolution","name":"lsp-powered-codebase-traversal-and-reference-resolution","description":"Leverages VSCode's Language Server Protocol to perform structural code navigation including GoToDefinition (jump to symbol definitions) and GetAllReferences (find all usages of a symbol across the codebase). Combined with custom backend-specific tooling (GetFilesRelevantToEndpoint), the agent can map dependencies and trace bug propagation across multiple files without regex-based heuristics, enabling structurally-aware debugging.","intents":["I want the agent to automatically find where a function is defined and all places it's called","I need to understand the dependency chain for a backend endpoint to identify which files might contain the bug","I want to trace how data flows through multiple backend files to find where corruption occurs"],"best_for":["developers debugging complex backend systems with deep call stacks","teams with large monolithic codebases where manual file navigation is time-consuming","projects using languages with strong LSP support (Python, Go, TypeScript, etc.)"],"limitations":["LSP support depends on language and configured language server (some languages may have incomplete LSP implementations)","GetFilesRelevantToEndpoint is backend-specific and may not work for non-REST architectures","No support for cross-language navigation (e.g., backend calling frontend APIs)","LSP queries add latency to agent execution (unknown exact overhead)"],"requires":["VSCode with Language Server Protocol support","Language server installed for the target language","Backend codebase indexed by the language server"],"input_types":["symbol names (function, class, variable)","file paths","endpoint identifiers (for GetFilesRelevantToEndpoint)"],"output_types":["file references (list of files containing symbol)","definition locations (file + line number)","dependency graphs (implicit, via reference chains)"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_10","uri":"capability://automation.workflow.incomplete.testing.and.maturity.gaps","name":"incomplete-testing-and-maturity-gaps","description":"The extension acknowledges on its roadmap that 'proper unit and e2e testing' is needed, implying current test coverage is incomplete or absent. This is a documented maturity limitation affecting reliability and stability. Additionally, the extension is early-stage (576 installs, 1 review) with unimplemented roadmap items (Claude/LLaMA 3 support, history pruning, automated reproduction steps), indicating active development and potential for breaking changes.","intents":["I understand this is an early-stage tool with incomplete testing","I accept the risk of using a tool with limited test coverage and maturity"],"best_for":["early adopters willing to accept instability","developers using the tool for non-critical debugging tasks","teams comfortable with active development and potential breaking changes"],"limitations":["Unit and e2e testing incomplete or absent (documented roadmap item)","Early-stage adoption (576 installs, 1 review — insufficient user feedback)","Multiple unimplemented roadmap items (Claude/LLaMA 3, history pruning, automated reproduction)","Potential for breaking changes as development continues","Unknown stability and reliability in production use","Limited community support and documentation"],"requires":["Acceptance of early-stage tool maturity","Willingness to report bugs and provide feedback"],"input_types":[],"output_types":[],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_2","uri":"capability://code.generation.editing.match.and.replace.code.editing.with.user.review.gates","name":"match-and-replace-code-editing-with-user-review-gates","description":"Modifies backend code using a match-and-replace technique (matching code blocks by content rather than line numbers) to apply fixes identified by the debugging agent. All proposed edits are presented to the user in a VSCode sidebar UI for explicit accept/reject review before file modification, preventing unintended changes and enabling mid-execution feedback loops where users can reject changes and guide the agent toward alternative fixes.","intents":["I want to review proposed code changes before they're applied to my files","I need to reject a fix and provide feedback to guide the agent toward a better solution","I want to apply only some of the agent's proposed changes, not all of them"],"best_for":["developers who want human-in-the-loop code modification (not fully autonomous)","teams with strict code review requirements","projects where incorrect fixes could cause production issues"],"limitations":["Match-and-replace approach may fail if code formatting changes or if multiple identical code blocks exist (ambiguity handling unknown)","User review gates add latency to bug fixing workflow (agent must wait for user input)","No automatic conflict detection if user manually edits files while agent is running","Cannot apply changes to files with syntax errors or incomplete code"],"requires":["VSCode sidebar UI access","User presence to review and accept/reject changes","Writable file system access"],"input_types":["code blocks to match (from agent analysis)","replacement code (generated by agent)","user accept/reject decisions"],"output_types":["file modifications (applied to disk)","change proposals (presented in UI for review)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_3","uri":"capability://tool.use.integration.terminal.integrated.reproduction.step.execution.and.runtime.analysis","name":"terminal-integrated-reproduction-step-execution-and-runtime-analysis","description":"Executes user-provided build and test commands via VSCode terminal integration to reproduce bugs in a live runtime environment. The agent captures terminal output (build logs, test failures, runtime errors) and uses this runtime context to perform dynamic debugging, identifying issues that static code analysis alone cannot detect. Requires user to manually specify reproduction steps and build/test commands, with unknown support for concurrent execution or port conflict management.","intents":["I want the agent to run my test suite and analyze failures to identify the root cause","I need to reproduce a bug by running specific build/test commands and have the agent analyze the output","I want the agent to use runtime error messages and stack traces to pinpoint the exact code location causing the issue"],"best_for":["developers debugging integration or end-to-end test failures","teams with well-defined reproduction steps and build/test commands","projects where runtime behavior differs from static code analysis"],"limitations":["Requires manual specification of build/test commands (no auto-detection)","Port conflicts with other terminal processes must be manually managed by user","No support for long-running processes or interactive debugging sessions","Terminal output parsing is fragile (unknown how agent handles non-standard output formats)","Concurrent execution support unknown (may not support multiple reproduction steps in parallel)","Reproduction steps are tedious to specify manually (documented friction point on roadmap)"],"requires":["VSCode terminal access","Build/test commands that can run in VSCode terminal","User-provided reproduction steps","Available ports for build/test processes"],"input_types":["build command strings","test command strings","reproduction steps (text)","terminal output (captured from build/test execution)"],"output_types":["terminal output logs","error analysis (parsed from logs)","runtime context (stack traces, error messages)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_4","uri":"capability://tool.use.integration.openai.api.integration.with.local.key.storage","name":"openai-api-integration-with-local-key-storage","description":"Integrates with OpenAI's API for LLM inference, requiring users to provide their own API key on first run. The API key is stored locally in VSCode configuration (not sent to external servers), and all agent reasoning is powered by OpenAI models. The extension currently supports OpenAI only, with planned (but unimplemented) support for LLaMA 3 and Claude via unknown API patterns.","intents":["I want to use my own OpenAI API key to power the debugging agent","I need to keep my API key secure by storing it locally in VSCode rather than uploading to a server"],"best_for":["developers with existing OpenAI API accounts and credits","teams that want to avoid third-party SaaS dependencies for LLM inference","users who prefer local API key storage over cloud-based key management"],"limitations":["OpenAI only (no support for other LLM providers currently)","Requires valid OpenAI API key with available credits","API costs scale with agent execution time and prompt length (no cost estimation provided)","Planned Claude and LLaMA 3 support not yet implemented (roadmap item)","Unknown API pattern for local models (if/when LLaMA 3 support is added)","No offline capability (requires active OpenAI API connection)"],"requires":["OpenAI API key (obtained from OpenAI account)","Active internet connection to OpenAI API","VSCode configuration file writable"],"input_types":["OpenAI API key (string)","agent prompts (text)"],"output_types":["LLM completions (text)","agent reasoning steps (text)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_5","uri":"capability://text.generation.language.sidebar.chat.interface.with.bug.description.input","name":"sidebar-chat-interface-with-bug-description-input","description":"Provides a chat-like UI embedded in the VSCode sidebar (accessed via ghost icon) where users can describe bugs in natural language and receive agent responses. The interface accepts bug descriptions, reproduction steps, and user feedback during agent execution, enabling conversational debugging workflows. The sidebar UI integrates with the agent loop to present change proposals and accept user accept/reject decisions.","intents":["I want to describe a bug in natural language without using CLI commands","I need a conversational interface to provide feedback to the agent during debugging","I want to see agent progress and proposed changes in a familiar chat-like format"],"best_for":["developers who prefer GUI-based workflows over CLI tools","teams using VSCode as their primary IDE","users who want to stay in VSCode without switching to terminal or web interfaces"],"limitations":["Sidebar UI may have limited space for displaying large code blocks or complex change proposals","Chat history is not persisted (unknown if conversation history is saved between sessions)","No keyboard shortcuts or command palette integration documented (unknown if available)","Sidebar UI responsiveness may degrade during long agent executions (unknown performance characteristics)"],"requires":["VSCode (minimum version unknown)","VSCode sidebar visible and accessible"],"input_types":["natural language bug descriptions","user feedback (accept/reject decisions)","reproduction steps (text)"],"output_types":["agent responses (text)","change proposals (code blocks)","debugging analysis (text)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_6","uri":"capability://planning.reasoning.unbounded.prompt.growth.with.agent.execution.degradation","name":"unbounded-prompt-growth-with-agent-execution-degradation","description":"As the agent executes debugging steps (navigating files, analyzing code, running tests), the prompt context grows unbounded by accumulating agent reasoning, file contents, and execution history. This causes documented performance degradation (slower LLM inference) and increased confusion (agent loses track of original bug context). The roadmap acknowledges this limitation but no mitigation (history pruning, summarization) is currently implemented, making long debugging sessions unreliable.","intents":["I understand that long debugging sessions may degrade in quality due to prompt length growth","I need to be aware of this limitation when debugging complex bugs that require many steps"],"best_for":["developers debugging simple, localized bugs (few files, few steps)","teams aware of and accepting the prompt growth limitation"],"limitations":["Prompt length grows unbounded during agent execution (no automatic pruning or summarization)","LLM inference slows as prompt length increases (documented issue, no mitigation)","Agent confusion increases with longer prompts (agent loses context of original bug)","No configurable prompt length limits or history management","Roadmap item for history pruning/summarization not yet implemented","Complex bugs requiring many debugging steps may become unreliable mid-execution"],"requires":["Awareness of prompt growth limitation","Acceptance that long debugging sessions may degrade"],"input_types":[],"output_types":[],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_7","uri":"capability://planning.reasoning.mid.execution.user.feedback.and.agent.guidance","name":"mid-execution-user-feedback-and-agent-guidance","description":"Enables users to provide feedback to the agent during execution, allowing them to reject proposed changes and guide the agent toward alternative fixes. The agent loop pauses at change proposal gates, waits for user accept/reject decisions, and incorporates user feedback into subsequent reasoning steps. This creates an interactive debugging workflow where users can steer the agent away from incorrect fixes without restarting the entire process.","intents":["I want to reject a proposed fix and guide the agent toward a different solution","I need to provide context or hints to the agent during debugging to improve its analysis","I want to pause the agent and review its progress before it applies changes"],"best_for":["developers who want interactive, guided debugging (not fully autonomous)","teams with domain expertise who can provide valuable feedback to the agent","projects where incorrect fixes are costly and human oversight is required"],"limitations":["Requires user presence and attention during agent execution (not suitable for fully autonomous workflows)","User feedback incorporation mechanism is unknown (unclear how feedback is encoded into prompts)","No structured feedback format documented (users must provide natural language feedback)","Agent may not always incorporate user feedback correctly (unknown reliability)","Feedback latency adds to overall debugging time"],"requires":["User availability during agent execution","VSCode sidebar UI for providing feedback"],"input_types":["user accept/reject decisions","natural language feedback (unknown if supported)","guidance on alternative approaches (unknown format)"],"output_types":["modified agent reasoning (incorporating feedback)","alternative fix proposals"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_8","uri":"capability://tool.use.integration.backend.specific.endpoint.file.mapping","name":"backend-specific-endpoint-file-mapping","description":"Provides a custom tool (GetFilesRelevantToEndpoint) that maps backend endpoints to the files that implement them, enabling the agent to quickly identify which files are relevant to a specific bug without manual codebase exploration. This backend-specific tool is distinct from generic LSP navigation and allows the agent to focus debugging on endpoint-related code rather than searching the entire codebase.","intents":["I want the agent to automatically find all files related to a specific API endpoint","I need to understand which backend files implement a particular endpoint to debug endpoint-specific bugs","I want to narrow the debugging scope to endpoint-relevant code rather than searching the entire codebase"],"best_for":["backend developers working on REST APIs or similar endpoint-based architectures","teams with well-defined endpoint-to-file mappings","projects where endpoint-specific bugs are common"],"limitations":["Backend-specific tool (does not work for non-endpoint architectures like event-driven systems)","Requires codebase to have clear endpoint definitions (unknown how tool infers endpoint-to-file mappings)","May not work for microservices with distributed endpoints","Unknown accuracy of endpoint mapping (may miss related files or include unrelated files)","No support for cross-service endpoint dependencies"],"requires":["Backend codebase with defined endpoints","Endpoint definitions discoverable by the tool (format unknown)"],"input_types":["endpoint identifier (path, method, name)"],"output_types":["list of relevant files","file paths and locations"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-vscode-extension__cap_9","uri":"capability://planning.reasoning.swe.agent.core.loop.ported.to.vscode","name":"swe-agent-core-loop-ported-to-vscode","description":"Ports the core agent loop from SWE-Agent (an open-source autonomous software engineering agent) into VSCode as a sidebar extension. The agent loop follows a standard pattern: receive user input (bug description), execute debugging actions (LSP navigation, file analysis, test execution), propose changes, and iterate based on feedback. This porting maintains SWE-Agent's reasoning approach while adapting it for VSCode's UI and integration points.","intents":["I want to use SWE-Agent's proven debugging approach without leaving VSCode","I need an agent that follows a structured loop for systematic bug analysis"],"best_for":["developers familiar with SWE-Agent who want VSCode integration","teams that trust SWE-Agent's approach and want it embedded in their IDE"],"limitations":["Porting may not preserve all SWE-Agent capabilities (unknown which features are missing)","VSCode integration constraints may limit agent flexibility vs. CLI version","Unknown if all SWE-Agent tools are available in VSCode version"],"requires":["Understanding of SWE-Agent's agent loop (helpful but not required)"],"input_types":["bug descriptions","reproduction steps"],"output_types":["code fixes","debugging analysis"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["VSCode (minimum version unknown)","OpenAI API key (stored locally in VSCode config)","Backend codebase with Language Server Protocol support","Terminal access to run build/test commands","Explicit reproduction steps provided by user","VSCode with Language Server Protocol support","Language server installed for the target language","Backend codebase indexed by the language server","Acceptance of early-stage tool maturity","Willingness to report bugs and provide feedback"],"failure_modes":["Prompt length grows unbounded during agent execution, causing inference slowdown and increased confusion (acknowledged roadmap issue with no current mitigation)","Cannot automatically detect bugs — requires explicit user description and manual reproduction steps","Backend-only focus; cannot analyze or fix frontend code","Requires user to manually specify build/test commands and reproduction steps (documented as tedious friction point)","No concurrent agent execution support (unknown if multiple bugs can be debugged in parallel)","Port conflicts with build/test processes must be manually managed by user","LSP support depends on language and configured language server (some languages may have incomplete LSP implementations)","GetFilesRelevantToEndpoint is backend-specific and may not work for non-REST architectures","No support for cross-language navigation (e.g., backend calling frontend APIs)","LSP queries add latency to agent execution (unknown exact overhead)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.32,"ecosystem":0.25,"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":"2026-06-17T09:51:04.689Z","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=vscode-extension","compare_url":"https://unfragile.ai/compare?artifact=vscode-extension"}},"signature":"LGxW+3gnW3G9hftyydVdPoorYKkLt+Skr4IhgfMsC+qvqdhh5XeXi4KwdKt1HuqbRp8TWoNQwesG2drOB0fxAg==","signedAt":"2026-07-08T18:13:27.534Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/vscode-extension","artifact":"https://unfragile.ai/vscode-extension","verify":"https://unfragile.ai/api/v1/verify?slug=vscode-extension","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"}}