ErrorClipper

Captures error diagnostics from VS Code's native error/warning system (linter output, compiler diagnostics) and exports them to clipboard via keyboard shortcut (Ctrl+Shift+E). Integrates with VS Code's diagnostic API to detect the most recent error at cursor position or in active editor, formats it with metadata (line number, column, error code), and copies to system clipboard for sharing or documentation. No local processing required—purely a clipboard bridge between VS Code's error system and user's clipboard.

Sends captured error message plus surrounding code context (user-selectable scope: snippet or full file) to a cloud-based AI backend via HTTPS. The backend analyzes the error using an undisclosed LLM model, generates a natural-language explanation of the root cause, and produces a ready-to-apply code fix with a confidence score (stated as 85%+). Returns structured response containing explanation, fix, and confidence metric. Triggered via 'Fix with AI' hover action or command palette command.

Registers multiple commands with VS Code's command palette (accessible via Ctrl+Shift+P), including 'ErrorClipper: Fix Error with AI', 'ErrorClipper: Show Error History', 'ErrorClipper: Enter License Key', 'ErrorClipper: View Pricing Plans', and 'ErrorClipper: What's New'. Commands are discoverable via fuzzy search in the command palette, allowing users to find features without memorizing keyboard shortcuts or menu locations. Commands are context-aware: some (e.g., 'Fix Error with AI') only appear when an error is present.

Provides UI localization for 6 languages: English, Simplified Chinese, Spanish, German, and French. Localization includes error messages, button labels, command names, and help text. Language is automatically detected from VS Code's UI language setting (e.g., 'en', 'zh-cn', 'es', 'de', 'fr'). If the user's language is not supported, the extension defaults to English. Localization is applied at extension startup and does not require a restart to take effect.

Applies AI-generated code fixes directly to the active editor file via VS Code's TextEdit API. Parses the suggested fix (returned from AI backend) and inserts it at the error location, replacing the erroneous code. Integrates with VS Code's undo/redo stack, allowing users to revert applied fixes with Ctrl+Z. No file save is automatic—users must manually save (Ctrl+S) to persist changes.

Maintains a local, in-memory or file-based history of all errors encountered during the current VS Code session (or across sessions if persistence is enabled). Accessible via keyboard shortcut (Ctrl+Shift+H) or command palette, which opens a sidebar panel displaying past errors with timestamps, file locations, and error messages. Users can click on any historical error to jump to that location in the editor or re-trigger AI fix generation for that error. History is scoped to the current workspace.

Manages user authentication and subscription tier via a license key system. Users enter a license key via command palette command 'ErrorClipper: Enter License Key', which is validated against the extension's backend service. The backend returns tier information (Free, Starter, Pro) and remaining quota for the current billing period. Quota is enforced client-side: each AI fix request decrements the remaining quota counter, and requests are rejected if quota is exhausted. Tier information is cached locally in VS Code's extension storage (encrypted via VS Code's SecretStorage API).

Automatically detects the programming language of the active editor file using VS Code's language mode API (e.g., 'typescript', 'python', 'java'). Sends the detected language as metadata to the AI backend, which uses it to select language-specific error analysis models or prompt templates. Supports TypeScript, JavaScript, Python, Java, Go, and Rust natively; unsupported languages return an error message in the UI. Language detection is automatic and requires no user configuration.

Allows users to choose the scope of code context sent to the AI backend: either a small snippet (surrounding lines around the error) or the full file content. Selection is made via UI dialog or settings configuration. The extension extracts the chosen context from the editor buffer and includes it in the AI request payload. Larger context windows provide more semantic information for accurate error analysis but increase latency and token usage. Context is sent as plain text to the backend.

Integrates 'Fix with AI' action into VS Code's error hover UI. When user hovers over an error squiggle (red underline), VS Code displays a hover tooltip with the error message and a list of code actions (quick fixes). ErrorClipper registers a code action provider that adds a 'Fix with AI' action to this list. Clicking the action triggers the AI fix generation workflow. The action appears alongside native quick fixes from linters and language servers, providing a unified UI for error resolution.

Displays the count of errors and warnings in the current workspace in the VS Code status bar (bottom of the editor window). The count is updated in real-time as errors are added or resolved. Clicking the status bar item opens the Problems panel, allowing users to navigate to errors. The display shows separate counts for errors (red) and warnings (yellow), following VS Code's standard color scheme.

Provides keyboard shortcuts for common error-related tasks: Ctrl+Shift+E (Cmd+Shift+E on Mac) to copy the last error to clipboard, and Ctrl+Shift+H (Cmd+Shift+H on Mac) to show error history. Shortcuts are registered with VS Code's keybinding system and can be customized by users via VS Code's keybindings.json file. Shortcuts are context-aware: they only trigger when an editor is active (not in other VS Code panels).