{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-haselerdev-aiquickfix","slug":"ai-quickfix-instantly-fix-problems-with-chatgpt-ai","name":"AI QuickFix: Instantly fix problems with ChatGPT AI","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=HaselerDev.aiquickfix","page_url":"https://unfragile.ai/ai-quickfix-instantly-fix-problems-with-chatgpt-ai","categories":["code-review-security","testing-quality"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-haselerdev-aiquickfix__cap_0","uri":"capability://code.generation.editing.linter.integrated.ai.code.fix.suggestion.via.lightbulb.menu","name":"linter-integrated ai code fix suggestion via lightbulb menu","description":"Intercepts diagnostic problems reported by VS Code's built-in linters, language servers, and third-party tools (ESLint, SonarLint, TypeScript), then augments the native lightbulb Quick Fix UI with AI-generated code solutions. When a user clicks the lightbulb on a flagged problem, the extension extracts code context (function boundaries via language server or ±10 lines fallback), sends the problem description and code to OpenAI's API, and returns a fixed code snippet for one-click application.","intents":["I want to fix linter warnings without manually reading the error message and editing code","I need quick suggestions for TypeScript/ESLint errors without leaving my editor","I want to apply AI-suggested fixes directly from the lightbulb menu without context switching"],"best_for":["solo developers using VS Code with ESLint, TypeScript, or SonarLint","teams wanting one-click fixes for common linter violations","developers who want to stay in the editor flow without opening separate AI tools"],"limitations":["Extension cannot identify problems itself—only augments existing diagnostics from linters/language servers; if a linter doesn't flag an issue, AI QuickFix cannot suggest a fix","Context is limited to the problem range plus ±10 lines for unsupported languages; no cross-file symbol resolution or project-wide semantic understanding","Network latency of ~5 seconds per fix request blocks the suggestion UI; no async preview or background processing","GPT-3.5-turbo frequently includes extraneous commentary in responses that the extension attempts but cannot reliably strip","No multi-file refactoring support; each fix is isolated to a single file"],"requires":["VS Code (minimum version unknown, likely 1.60+)","OpenAI API key with GPT-4 or GPT-3.5-turbo access","At least one active linter or language server reporting diagnostics (ESLint, TypeScript, SonarLint, etc.)","Outbound HTTPS access to OpenAI API endpoints"],"input_types":["code (current file content)","diagnostic metadata (error/warning description from linter)","code context (function boundaries or problem range ± 10 lines)"],"output_types":["code (fixed code snippet)","inline editor edit (applied directly to file on user confirmation)"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-haselerdev-aiquickfix__cap_1","uri":"capability://code.generation.editing.language.aware.code.context.extraction.with.fallback","name":"language-aware code context extraction with fallback","description":"Automatically detects the programming language of the current file and uses VS Code's language server APIs to extract function boundaries and scope context around a flagged problem. For languages without language server support, falls back to a fixed-range context window (±10 lines around the problem). This context is then sent to the AI model to ensure fixes are semantically aware of the surrounding code structure.","intents":["I want the AI to understand the function I'm fixing, not just the error line","I need context-aware fixes that don't break surrounding code logic","I want the extension to work with languages I use, even if they don't have full IDE support"],"best_for":["developers working with TypeScript, JavaScript, Python, Go, Rust, and other languages with language server support","teams using less common languages where language servers may not be available","developers who need semantically-aware fixes rather than line-level suggestions"],"limitations":["Function boundary detection only works for languages with active language server support; fallback to ±10 lines may miss important context for complex nested structures","No cross-file context extraction; cannot resolve imports or analyze dependencies across files","Language server availability depends on VS Code extensions installed; missing language servers will trigger fallback mode silently","Fixed ±10 line fallback may be insufficient for large functions or complex control flow"],"requires":["VS Code language server for the target language (built-in for TypeScript/JavaScript; optional for others)","Language server must be active and reporting diagnostics"],"input_types":["code (current file)","diagnostic position (line and column of flagged problem)"],"output_types":["code context (extracted function or ±10 line range)","language identifier (detected from file extension or language server)"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-haselerdev-aiquickfix__cap_2","uri":"capability://tool.use.integration.openai.api.integration.with.configurable.model.selection","name":"openai api integration with configurable model selection","description":"Sends extracted code context and linter problem descriptions to OpenAI's API, supporting both GPT-4 and GPT-3.5-turbo models. The extension constructs a prompt using customizable system instructions and problem/code prefixes/suffixes, then parses the API response to extract the fixed code. Model selection is user-configurable via VS Code settings without requiring extension reload, allowing runtime switching between models based on cost/quality tradeoffs.","intents":["I want to use GPT-4 for higher-quality fixes on complex problems","I need to switch to GPT-3.5-turbo to reduce API costs for simple fixes","I want to customize the AI prompt to match my coding standards or team conventions"],"best_for":["developers with OpenAI API accounts and budget for API calls","teams that want to customize AI behavior via prompt engineering","users who can tolerate ~5 second latency per fix request"],"limitations":["Requires valid OpenAI API key; no fallback to free models or local LLMs","GPT-3.5-turbo frequently includes extraneous text in responses (explanations, markdown formatting) that the extension attempts to strip but cannot reliably remove","API calls are synchronous and block the lightbulb suggestion UI for ~5 seconds; no background processing or caching","No rate limiting or quota management built-in; users are responsible for monitoring OpenAI API usage and costs","API key storage method (plaintext vs encrypted) in VS Code settings is undocumented; security model unclear","No support for other AI providers (Anthropic, local models, etc.); locked to OpenAI"],"requires":["OpenAI API key with access to GPT-4 or GPT-3.5-turbo","Outbound HTTPS access to api.openai.com","VS Code setting `aiquickfix.apiKey` configured with valid key","VS Code setting `aiquickfix.model` set to 'gpt-4' or 'gpt-3.5-turbo'"],"input_types":["code context (extracted function or ±10 line range)","problem description (linter error/warning message)","system prompt (customizable via `aiquickfix.systemPrompt` setting)","problem prefix/suffix (customizable via `aiquickfix.problemPrefix`, `aiquickfix.problemCodePrefix`, `aiquickfix.problemCodeSuffix`)"],"output_types":["code (fixed code snippet from API response)","raw API response (before parsing)"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-haselerdev-aiquickfix__cap_3","uri":"capability://data.processing.analysis.response.parsing.and.code.extraction.from.ai.output","name":"response parsing and code extraction from ai output","description":"Processes OpenAI API responses to extract the fixed code snippet, with special handling for GPT-3.5-turbo which frequently includes extraneous commentary, markdown formatting, or explanatory text. The extension attempts to strip non-code content using heuristics (e.g., removing markdown code fences, filtering explanatory text) before returning the cleaned code for editor insertion. Parsing logic is influenced by customizable `problemCodeSuffix` settings to help the AI format responses correctly.","intents":["I want the extension to extract just the code from AI responses, not explanations or markdown","I need fixes that work with GPT-3.5-turbo despite its verbose output","I want to tune response parsing via prompt engineering to improve code extraction"],"best_for":["users on a budget who must use GPT-3.5-turbo despite its formatting issues","teams that want to optimize response parsing via `problemCodeSuffix` tuning","developers who need reliable code extraction without manual cleanup"],"limitations":["Parsing heuristics are not guaranteed to work for all response formats; complex or unusual AI outputs may not be parsed correctly","No AST validation of extracted code; malformed or syntactically invalid code can be inserted into the editor","Heuristics are optimized for GPT-3.5-turbo and GPT-4; may fail for other models or API providers","No fallback mechanism if parsing fails; user sees raw API response or error message","Customization via `problemCodeSuffix` requires manual prompt engineering; no automatic optimization"],"requires":["OpenAI API response (JSON format with `choices[0].message.content`)","Optional: `aiquickfix.problemCodeSuffix` setting configured to guide AI formatting"],"input_types":["raw API response (JSON from OpenAI)","response text (code + potential commentary)"],"output_types":["extracted code (cleaned, ready for editor insertion)","error message (if parsing fails)"],"categories":["data-processing-analysis","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-haselerdev-aiquickfix__cap_4","uri":"capability://code.generation.editing.one.click.code.fix.application.with.inline.editor.integration","name":"one-click code fix application with inline editor integration","description":"Applies the AI-generated fixed code directly to the editor by replacing the problem range or function with the suggested code. The fix is applied as a single editor edit operation, maintaining undo/redo history and triggering any configured linters/formatters on the modified code. Users confirm the fix via the lightbulb menu or Quick Fix button; no additional dialogs or confirmations are required.","intents":["I want to apply AI-suggested fixes with a single click without manual copy-paste","I need fixes to integrate seamlessly with my editor's undo/redo and formatting","I want the linter to re-run after the fix is applied to verify the problem is resolved"],"best_for":["developers who want minimal friction in the fix workflow","teams using formatters (Prettier, Black, etc.) that should run after fixes","users who need to maintain editor history and undo capability"],"limitations":["Fix application is atomic; if the AI-generated code is syntactically invalid, the entire fix fails and the user must manually revert","No preview of the fix before application; users cannot see the diff before confirming","Formatter integration depends on VS Code's configured formatter; if no formatter is active, code may not be auto-formatted after fix","No rollback mechanism if the fix introduces new linter errors; user must manually undo or fix the introduced problems","Multi-file fixes are not supported; each fix is isolated to a single file"],"requires":["VS Code editor with active file open","Valid code fix from AI (syntactically correct for the target language)"],"input_types":["code fix (generated by AI)","problem range (line and column from diagnostic)"],"output_types":["modified file (with fix applied)","editor edit operation (recorded in undo/redo history)"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-haselerdev-aiquickfix__cap_5","uri":"capability://tool.use.integration.multi.linter.problem.aggregation.and.fix.suggestion","name":"multi-linter problem aggregation and fix suggestion","description":"Listens to diagnostic events from multiple linters and language servers (ESLint, TypeScript, SonarLint, etc.) and augments each reported problem with an AI-generated fix suggestion. The extension does not prioritize or filter problems; it offers AI fixes for any diagnostic reported by any active linter, allowing users to fix issues from multiple tools in a unified workflow.","intents":["I want AI fixes for ESLint warnings, TypeScript errors, and SonarLint issues all in one place","I need to fix problems from multiple linters without switching between different fix tools","I want the lightbulb menu to show AI suggestions alongside native quick fixes"],"best_for":["teams using multiple linters (ESLint + TypeScript + SonarLint)","developers who want unified fix suggestions across all code quality tools","projects with complex linting setups where problems come from many sources"],"limitations":["Extension cannot identify problems itself; it only augments diagnostics from active linters. If a linter is not installed or configured, its problems will not appear","No prioritization or filtering of problems; all diagnostics are treated equally, which may result in low-quality AI suggestions for some problem types","No linter-specific prompt customization; the same system prompt is used for all problem types, which may not be optimal for domain-specific linters","Diagnostic aggregation depends on VS Code's diagnostic system; if a linter reports problems with incorrect metadata, AI suggestions may be inaccurate","No conflict resolution if multiple linters report overlapping problems at the same location"],"requires":["At least one active linter or language server reporting diagnostics to VS Code","Linters must report problems via VS Code's diagnostic API (standard for all VS Code linters)"],"input_types":["diagnostic events (from ESLint, TypeScript, SonarLint, etc.)","problem metadata (error/warning description, severity, location)"],"output_types":["augmented diagnostics (with AI fix suggestions)","lightbulb menu entries (one per diagnostic)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-haselerdev-aiquickfix__cap_6","uri":"capability://code.generation.editing.configurable.prompt.engineering.via.vs.code.settings","name":"configurable prompt engineering via vs code settings","description":"Exposes all components of the AI prompt as user-editable VS Code settings, including the system prompt, problem description prefix, code context prefix, and code context suffix. This allows users to customize how problems and code are presented to the AI model without modifying extension code, enabling fine-tuning for specific coding standards, languages, or to work around model-specific quirks (e.g., GPT-3.5-turbo formatting issues).","intents":["I want to customize the AI prompt to match my team's coding standards","I need to work around GPT-3.5-turbo's verbose output by tuning the problemCodeSuffix","I want to add domain-specific instructions to the system prompt for better fixes"],"best_for":["teams with specific coding standards or conventions they want to enforce","developers troubleshooting AI response quality via prompt engineering","users who need to optimize for cost (GPT-3.5-turbo) or quality (GPT-4) via prompt tuning"],"limitations":["Prompt engineering requires manual experimentation; no guidance or best practices provided by the extension","Changes to settings require VS Code reload or manual extension reload to take effect (reload behavior undocumented)","No validation of prompt syntax; invalid prompts will be sent to the API and may result in errors or poor-quality responses","No prompt versioning or rollback; users must manually track prompt changes","Settings are stored in VS Code's settings file (plaintext); no encryption or access control for sensitive prompt content"],"requires":["VS Code settings file (`.vscode/settings.json` or user settings)","Knowledge of prompt engineering and AI model behavior"],"input_types":["custom system prompt (text)","custom problem prefix (text)","custom code prefix (text)","custom code suffix (text)"],"output_types":["modified AI request (with custom prompts)","improved AI response quality (if prompts are well-tuned)"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-haselerdev-aiquickfix__cap_7","uri":"capability://automation.workflow.keyboard.shortcut.support.for.quick.fix.preview.and.application","name":"keyboard shortcut support for quick fix preview and application","description":"Provides keyboard shortcuts for invoking and previewing AI-generated fixes without using the mouse. The standard VS Code Quick Fix shortcut (typically `Ctrl+.` or `Cmd+.`) opens the lightbulb menu, and an extension-specific shortcut (`Ctrl+Enter` or `Cmd+Enter`) is available for preview functionality. This enables power users to apply fixes entirely via keyboard without touching the mouse.","intents":["I want to apply AI fixes using only the keyboard for faster workflow","I need a quick preview of the fix before applying it","I want to stay in keyboard-driven development mode without switching to the mouse"],"best_for":["power users and developers who prefer keyboard-driven workflows","teams with accessibility requirements for keyboard-only navigation","developers who want to maximize productivity by minimizing mouse usage"],"limitations":["Keyboard shortcuts are VS Code standard (`Ctrl+.`) or extension-specific (`Ctrl+Enter`); users must learn the extension-specific shortcut","Preview functionality is undocumented; unclear what `Ctrl+Enter` preview shows or how it differs from the lightbulb menu","Keyboard shortcuts may conflict with other VS Code extensions or user keybindings; no conflict detection or resolution provided","Shortcut customization is not mentioned in documentation; users may not be able to rebind shortcuts to their preferences"],"requires":["VS Code with keyboard shortcut support","Knowledge of standard VS Code shortcuts (`Ctrl+.` for Quick Fix)"],"input_types":["keyboard input (Ctrl+. or Ctrl+Enter)"],"output_types":["lightbulb menu (opened by Ctrl+.)","fix preview (opened by Ctrl+Enter, behavior undocumented)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-haselerdev-aiquickfix__cap_8","uri":"capability://tool.use.integration.freemium.pricing.model.with.free.tier.and.premium.features","name":"freemium pricing model with free tier and premium features","description":"Offers a freemium pricing model where the core AI fix functionality is available for free, with potential premium features or usage limits not fully documented. Users can install and use the extension at no cost, though OpenAI API costs for GPT-4 and GPT-3.5-turbo calls are the user's responsibility. The extension itself does not charge for usage; all costs are passed through to the user's OpenAI account.","intents":["I want to try AI-powered code fixes without paying for a subscription","I need to control my costs by choosing between GPT-4 and GPT-3.5-turbo","I want to use AI fixes without committing to a paid tool"],"best_for":["solo developers and small teams with limited budgets","users who already have OpenAI API accounts and want to leverage existing credits","developers who want to avoid subscription lock-in"],"limitations":["Free tier details are undocumented; unclear if there are usage limits, feature restrictions, or trial periods","All OpenAI API costs are the user's responsibility; no free tier for API calls, only for the extension itself","No cost estimation or usage tracking built-in; users must monitor OpenAI API usage manually","Premium features (if any) are not documented; unclear what features might be behind a paywall","No free alternative to OpenAI API; extension is locked to OpenAI and does not support free/local models"],"requires":["OpenAI API account with available credits or payment method","Willingness to pay for API calls (GPT-4 is more expensive than GPT-3.5-turbo)"],"input_types":["OpenAI API key"],"output_types":["access to AI fix functionality","OpenAI API charges (billed to user's OpenAI account)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"moderate","permissions":["VS Code (minimum version unknown, likely 1.60+)","OpenAI API key with GPT-4 or GPT-3.5-turbo access","At least one active linter or language server reporting diagnostics (ESLint, TypeScript, SonarLint, etc.)","Outbound HTTPS access to OpenAI API endpoints","VS Code language server for the target language (built-in for TypeScript/JavaScript; optional for others)","Language server must be active and reporting diagnostics","OpenAI API key with access to GPT-4 or GPT-3.5-turbo","Outbound HTTPS access to api.openai.com","VS Code setting `aiquickfix.apiKey` configured with valid key","VS Code setting `aiquickfix.model` set to 'gpt-4' or 'gpt-3.5-turbo'"],"failure_modes":["Extension cannot identify problems itself—only augments existing diagnostics from linters/language servers; if a linter doesn't flag an issue, AI QuickFix cannot suggest a fix","Context is limited to the problem range plus ±10 lines for unsupported languages; no cross-file symbol resolution or project-wide semantic understanding","Network latency of ~5 seconds per fix request blocks the suggestion UI; no async preview or background processing","GPT-3.5-turbo frequently includes extraneous commentary in responses that the extension attempts but cannot reliably strip","No multi-file refactoring support; each fix is isolated to a single file","Function boundary detection only works for languages with active language server support; fallback to ±10 lines may miss important context for complex nested structures","No cross-file context extraction; cannot resolve imports or analyze dependencies across files","Language server availability depends on VS Code extensions installed; missing language servers will trigger fallback mode silently","Fixed ±10 line fallback may be insufficient for large functions or complex control flow","Requires valid OpenAI API key; no fallback to free models or local LLMs","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.56,"quality":0.43,"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":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:35.026Z","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=ai-quickfix-instantly-fix-problems-with-chatgpt-ai","compare_url":"https://unfragile.ai/compare?artifact=ai-quickfix-instantly-fix-problems-with-chatgpt-ai"}},"signature":"4xtWamgmQBl/EjqeyDNnc52Sm4nzBwCadR4q3uNRM5ib3Ay3v1ZjqXHPB1bWfUBzVUJMyW58QMEju/XQQ6V0CQ==","signedAt":"2026-06-22T17:26:25.186Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-quickfix-instantly-fix-problems-with-chatgpt-ai","artifact":"https://unfragile.ai/ai-quickfix-instantly-fix-problems-with-chatgpt-ai","verify":"https://unfragile.ai/api/v1/verify?slug=ai-quickfix-instantly-fix-problems-with-chatgpt-ai","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"}}