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Using modern AI tools to manage an old "growing" problem

  • A personal account shared on regaining control of a document management problem using a Python library and Amazon Q Developer CLI.
  • Amazon Q Developer CLI serves as a command-line tool to handle programming questions, code writing, error explanations, and interacting with various services.
  • The individual faced a cluttered catalogue of personal PDF files, leading to the adoption of a consolidation approach rather than focusing on storage.
  • Utilizing Amazon Q Developer CLI and pypdf, the process began to consolidate multiple files efficiently into a single document.
  • By leveraging the PyPDF2 library and developing a custom app, the user aimed to consolidate and efficiently manage their digital documents.
  • The user first familiarized themselves with pypdf and created a program to extract information from any PDF file using the library.
  • Subsequent steps involved merging PDFs by creating a program that combines multiple files efficiently, handling command line arguments and errors.
  • Further enhancements included building a web interface using Flask for file uploads, combining PDFs, and providing a download utility for the merged files.
  • The web interface developed facilitated the process of merging PDFs and provided a user-friendly experience for consolidating multiple documents.
  • Amazon Q Developer CLI played a significant role in guiding the user through the development process, showcasing the power of AI tools in managing complex tasks efficiently.

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