PH Deck

Developers using LLMs (e.g., Cursor, Windsurf) face outdated code repositories, leading to inaccurate outputs and increased debug time.

Users manually create AI coding prompts, leading to inefficient and suboptimal code generation due to time-consuming iterations and lack of standardization.

Users face high costs and limited access when hiring full-time or freelance AI engineers, leading to stalled AI projects. High costs and limited access

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.

Users with creative or business needs often struggle with the technical complexities of developing AI applications. These applications could significantly enhance their projects or operations, but the lack of coding skills and the high barrier to entry with traditional programming environments prevent many from leveraging the benefits of AI.

Users face challenges in coding, such as slow development processes, lack of innovative project ideas, and insufficient guidance during coding projects.

Traditional QR codes are plain and not engaging, leading to a lack of interest and interaction from potential users. The plain and not engaging nature of traditional QR codes.

Developers often face challenges with complex and large-scale projects that involve extensive manual coding, which can delay innovation and completion.

Users manually check their Vibe Code projects for security vulnerabilities, which is time-consuming and prone to human error, risking overlooked vulnerabilities and potential breaches.

Learning to code can be challenging for beginners due to complex concepts and lack of personalized guidance. Traditional learning resources often fail to provide comprehensive explanations tailored to individual learning paces.