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View All on GitHubAI Summary: Optimize the initial performance of the DREAM_APP to ensure a loading time under 3 seconds and fast perceived performance for saving, uploading, and generating features. This involves identifying and resolving performance bottlenecks in existing functionalities.
AI Summary: Develop a content strategy and editorial calendar for the first two weeks after the launch of a dream interpretation app. This includes planning blog posts, social media content, and marketing emails, ensuring alignment with the app's positioning.
AI Summary: Implement clear loading indicators (spinners or messages) for all data processing operations in the DREAM_APP. These indicators should be visually clear, non-intrusive, and accurately reflect the application's processing status. The indicators should be triggered appropriately and hidden once the operation is complete.
AI Summary: Set up the frontend and backend development environments for the DREAM_APP project, including cloning the project, installing dependencies, ensuring the application starts locally without errors, and establishing a basic CI/CD pipeline for unit testing.
AI Summary: Design low-fidelity wireframes for the key user flows of a dream journaling app: registration, transcription, visualization, and history page. The wireframes must be validated by the Product Owner and engineering team, ensuring a logical and user-friendly experience.