RebuttalStudio is a desktop application built with Electron that assists academic researchers in writing peer-review rebuttals through a structured five-stage workflow: Breakdown, Reply, First Round, Multiple Rounds, and Final Remarks. The application operates locally, storing project data in the file system and leveraging large language models (LLMs) via various providers (OpenAI, Gemini, etc.) to aid in generating and refining responses at each stage. It features a document memory system for importing and summarizing background knowledge from PDFs, Markdown, and other formats, which can be used as context during the rebuttal process. The application follows a classic Electron architecture with a main process handling window management, IPC, and core services (project persistence, file operations, LLM API calls), and a renderer process managing the user interface and state. Communication between processes occurs through a contextBridge-exposed API (`window.studioApi`). Key innovations include a zero-intrusion internationalization system that efficiently updates the UI based on CSS selector mappings, a robust JSON repair pipeline to handle common LLM output formatting issues, and a provider abstraction layer that simplifies integration with multiple LLM backends. The software also implements thoughtful usability features such as debounced autosave, project snapshots for undo/redo, and a modular stage-based interface. While the application demonstrates strong architectural separation between processes and contains several reusable components (e.g., i18n system, JSON repair utilities), the renderer process contains a large, monolithic file that combines UI rendering, state management, and business logic, which could present challenges for maintainability as the project grows. Despite this, the codebase exhibits careful attention to detail in areas like incremental saving, internationalization, and LLM integration, reflecting a solid implementation that meets the needs of its target audience.