The floating dock for developers

Snap is a floating desktop dock designed specifically for developers using AI-powered coding tools such as Cursor and Claude Code. It operates as an always-on overlay that remains visible across applications, enabling rapid access to frequently used development utilities without disrupting the current workflow. Snap integrates directly with common developer environments—including VS Code, Xcode, Terminal, and web browsers—making it compatible with existing toolchains.
The product targets software engineers, frontend developers, and AI-assisted coding practitioners who seek to reduce context switching, improve prompt precision, and accelerate iterative UI development and debugging tasks. By consolidating functionality into a persistent, lightweight interface, Snap supports both individual productivity and team-wide engineering efficiency.
Snap operates as a standalone desktop application that runs in the system tray and displays a compact, movable dock at the edge of the screen. Users interact with its modules via intuitive icons: clicking "Preview" activates DOM inspection on the currently focused web page; selecting "Screenshot" initiates a region-based capture with automatic annotation of buttons, links, and inputs; and pressing the microphone icon begins real-time speech-to-text conversion.
When editing styles visually, changes are reflected instantly in the browser, and the "Add to Prompt" function packages selected CSS modifications along with element selectors and contextual metadata for direct use in AI coding assistants. Similarly, the Prompt Optimizer accepts natural-language requests (e.g., "fix the sidebar") and returns structured outputs including relevant file paths, observed behavior, and precise instructions—enabling faster, more accurate code generation. All actions—whether launching tools, copying console errors, or replaying prompt history—are accessible from the dock or via configurable keyboard shortcuts.
Snap enhances developer workflows in several concrete ways: it reduces ambiguity in AI interactions by providing visual and structural context (e.g., numbered UI elements or live DOM state); accelerates front-end iteration through immediate visual feedback and prompt-ready CSS edits; and minimizes cognitive load by centralizing commonly used functions—including voice input, educational micro-content, and cross-tool launching—into a single, consistent interface.
Practical applications include debugging responsive layout issues by inspecting and modifying CSS in real time, generating targeted fixes for specific UI components using annotated screenshots, authoring precise prompts for AI agents without manual context assembly, and maintaining flow during long-running AI operations via passive learning from curated reels. It is especially valuable in environments where developers alternate between coding, testing, documentation, and AI collaboration—across platforms including Linux (AppImage), macOS, and Windows (implied by multi-platform support claims and logo usage).