Unlocking AI Development Potential with SudoLang and Pseudocode Prompting

AI-driven development (AIDD) is advancing rapidly, but natural language prompts pose limitations in expressing complex instructions. SudoLang and pseudocode prompting offer a solution by combining natural language expressiveness with programming precision. Pseudocode prompting structures AI instructions more efficiently, resulting in better performance (12%-38% response score improvements). SudoLang, developed with insights from GPT-4, extends pseudocode prompting with features like constraint-based programming, interfaces, and function composition. This structured approach enables smarter AI behavior, better state tracking, and modular application development. The language’s declarative nature allows developers to specify what needs to be done without detailing how, leveraging AI’s inference capabilities. Thus, SudoLang enhances AI-driven applications’ creation, making them more intelligent, adaptive, and robust.