PH Deck

Developers using LLMs (e.g., Cursor, Windsurf) face outdated code repositories, leading to inaccurate outputs and increased debug time.

Users need to learn vibe-coding but face time constraints with traditional long courses. Time-consuming courses and lack of flexibility are major barriers.

Users face inefficiencies and time consumption in manual coding and debugging without AI assistance. inefficiencies and time consumption in manual coding

Users struggle with generic AI coding tools lacking context-aware customization, leading to inefficient code generation and slower development cycles.

Users need to gather information on vibe coding from multiple fragmented sources, leading to time-consuming research and lack of a unified knowledge base.

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.