Show HN: PaperDebugger – An Overleaf companion for revising LaTeX papers (github.com)

PaperDebugger has emerged as an innovative AI-powered tool designed to enhance the process of academic writing by seamlessly integrating with Overleaf, a popular LaTeX editor. This platform aids researchers in debugging and refining their papers through intelligent suggestions while maintaining an unobtrusive approach—reading the project without altering it. Central to its functionality is an advanced orchestration engine, XtraMCP, which facilitates a comprehensive academic workflow encompassing research, critique, and revision. This multi-step reasoning feature enables PaperDebugger to provide reviewer-style critiques and structured revision suggestions, greatly improving the efficiency and quality of academic writing. The significance of PaperDebugger lies in its unique ability to perform in-editor revisions and critiques that go beyond traditional chat-based AI assistance. With features like instant insertion of AI-generated responses, a comment system for suggestions, and a library of custom prompts tailored for various academic needs, users can significantly streamline their writing process. Key technical aspects include the use of microservices architecture, support for MongoDB, and integration with the OpenAI API. While some components of the XtraMCP backend remain closed-source and under development, the team is committed to enhancing usability and plans to open-source it once stabilized, promising to foster community engagement and further innovation in academic writing tools.