neural networks into a single, cohesive model by fusing their weights and biases. This approach is said to enhance predictive accuracy by creating a "super neural network" capable of understanding developer intent and providing context-aware suggestions. SPE aims to create user-friendly documentation that evolves alongside the codebase. Temporal Logic Programming (TLP) A programming approach that considers the broader context of code execution, including user behavior, environmental factors, and system state. HCP aims to create decentralized AI systems. BIML ensures that all training data is securely stored on a blockchain, providing transparency and immutability while enhancing model accuracy through collective learning.