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8 tasks
Music theory / Lydian Chromatic / Improvisation targets
The current app is organized around four parent scales, their modes, harmonic fields, and comparisons. This is useful, but it does not yet support the class workflow around the Lydian Chromatic Concept: chord quality → target/alvo → parent scale → ordered s...
Architecture / Multi-board engine / Markdown tasks / Vercel
Hoje existem três repositórios muito parecidos funcionando como task boards independentes. Isso cria drift: uma melhoria feita em um board precisa ser copiada manualmente para os outros. Recentemente, ao replicar os ícones de highlight/hide nos report cards...
Frontend / Audio / Mobile UI
Multiple cohesion, audio, and responsiveness bugs are breaking the UX. The sequential audio of the 'interval structure' in the drawer reproduces unexpected pitch jumps. Triggering interval squares plays the entire chord instead of the isolated note. The pad...
Visual Architecture / Components / AI
The interface contains complex components with scattered, hardcoded colors, paddings, and font variations throughout the frontend. This requires constant CSS reiterations and triggers hallucinations when bots code new views.
audio-to-sheet / Testing / UI Panel
Calibrating the pitch and transcription engine inside the incoming audio pipeline demands constant manual tweaking of constant variables in the code, hindering agility.
Frontend / primitives / visual refactor
The `music-study` app currently has useful screens, but the visual language is distributed across app-level CSS and feature components. It needs a stable primitive layer so the design can be modified consistently without rewriting each screen manually.
Mobile app / Expo / React Native
The current `music-study` project is a web app. To become a real iOS/Android app, it needs a mobile implementation path using React Native and Expo while preserving the educational value, music-theory engine, audio feedback, and polished design direction.
Theory / Refactoring / Copywriting
The music theory copywriting inside the app contains confusing, inaccurate, or vaguely generalized fragments ('Exotic, tense, hybrid sound') introduced by previous LLMs. This text is physically coupled and scattered across multiple visual codebase components.