AIFP

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AIFP (AI Functional Procedural) is a novel programming paradigm that merges pure functional programming principles, explicit procedural execution, database-driven project management, and deterministic AI guidance. It is specifically crafted to enhance AI-human collaboration by addressing common development challenges like context loss, complex object-oriented patterns, and inconsistent coding standards. AIFP enforces compliance, provides persistent project context, and guides development through finite completion paths, making it suitable for both human-led projects augmented by AI and for fully automated, AI-generated applications based on user-defined directives.

Características Principales

• Functional-Procedural Hybrid Paradigm (pure functions, explicit sequencing, no hidden state)
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• Database-Indexed Logic (SQLite tracking of functions, files, and dependencies for instant context)
• AI-Readable Code (flat structure, explicit dependencies, metadata annotations for machine understanding)
• Finite Completion Paths (structured project roadmap with milestones and tasks)
• Language-Agnostic (supports multiple programming languages while enforcing universal standards)

Casos de Uso

• Build applications (web apps, libraries, CLI tools) with AI assistance enforcing functional programming compliance and managing project state.
• Define and automate custom rules for home automation, cloud management, or workflows, where AIFP generates and manages the implementation code from user directives.