This paper demonstrates that structural properties of the Quran: gradual revelation (tanzil), ring composition, lossless morphological compression, and the zahir/batin (surface/depth) distinction function as prompt-engineering primitives when applied to human-AI collaborative software development. Seven principles are extracted, each grounded in a specific Quranic structural feature and each translatable to a concrete prompt-engineering technique. The principles are validated through a longitudinal case study: the development of Bayyinah v1.0, an open-source file integrity scanner that grew from zero to 1,295 passing tests across 22 development phases, producing three independent implementations with byte-identical output parity, using Quranic verse-to-phase mappings as the organizing architecture. Each principle is paired with a falsification criterion. A replication protocol is proposed. Third paper in the research program following the Munafiq Protocol (DOI: 10.5281/zenodo.19677111) and Computational Tawhid.
Arfeen et al. (Fri,) studied this question.