Generative AI Hub

Generative AI has evolved from static prompt engineering into a sophisticated branch of distributed systems. This hub organizes Wikantik's content on the architectural patterns, orchestration protocols, and data strategies required to build reliable, scalable, and factually grounded AI systems.

Agentic Architectures

Coordinating autonomous digital workforces.

• Agentic Orchestration — Centralized supervision vs. decentralized choreography patterns for multi-agent systems
• The Saga Pattern — Managing state and long-running transactions in complex agent workflows

Retrieval and Knowledge Grounding

Connecting LLMs to real-world and private data.

• Retrieval-Augmented Generation (RAG) — The standard distributed pattern for factually grounding AI models
• CQRS and Event Sourcing — Managing the high-throughput ingestion and transformation of grounding data

Language and Logic Foundations

The tools and logic of AI synthesis.

• LISP Programming Language — The historical foundation of symbolic AI and modern neuro-symbolic systems
• Python: The Universal AI Operating System — The primary control plane and orchestration layer for 2026 AI
• Ruby: Rapid AI Prototyping — expressed syntax for rapid agent tool synthesis

Performance and Scale

• Distributed Systems Hub — Scaling the infrastructure that powers LLMs
• Phi Accrual Failure Detector — Managing agent-to-tool liveness in jittery networks