PH Deck

Users need to switch between their coding environment (e.g., VS Code) and music apps (e.g., Spotify) to control playback, causing distraction and workflow interruption

Developers often struggle with understanding complex code logic, which can lead to difficulties in debugging, learning new codebases, and optimizing programs. The drawbacks are time-consuming code comprehension processes and inefficient collaboration among team members.

Users traditionally rely on their desktops or laptops to use VS Code for coding, which limits their ability to code when away from their primary computer.

A drawback of this old situation is the inability to work efficiently on projects when not physically present at the workstation or while traveling, resulting in decreased productivity and flexibility.

Users previously needed separate tools for coding and music creation, leading to inefficient workflows and lack of integration.

Users face inefficiencies in coding workflows with manual code generation, refactoring, testing, and debugging. Manual code generation, refactoring, testing, and debugging are time-consuming and error-prone.

Businesses and individuals looking to leverage no-code/low-code platforms for their projects struggle to find specialized freelancers. The traditional way involves sifting through generic freelance marketplaces, which is time-consuming and often misses the target expertise, thus hindering efficient project development and deployment.

The current situation involves traditional coding methods using standard IDE setups that require a keyboard and mouse.

Drawbacks include potential RSI from long hours of typing, limited engagement in coding for non-traditional developers, and a possible lack of innovation in interaction methods.

Enterprise developers use generic AI coding tools that lack customization, security, and full-stack control, leading to potential vulnerabilities and inefficient workflows.

Users manually write C/C++ code for complex system simulations, facing time-consuming development, error-prone debugging, and difficulty scaling as system complexity increases.

Users struggle with discovering and sharing music across multiple platforms due to fragmented services and lack of integrated social features, leading to inefficient music discovery and limited social interaction around tracks.