About AdvanceCyber.ai

AdvanceCyber.ai teaches people how to build production-grade Claude Code systems through comprehensive technical PRDs. We don't distribute code—we teach the architecture.

The Evolution

Phase 1: Agent Distribution

We started by sharing agent files and plugin bundles. Download a zip, extract to your Claude Code directory, and you'd have a working multi-agent system. Simple, practical, immediate value.

Phase 2: The Realization

Users started reporting issues. Agents referenced tools they didn't have. Directory paths didn't match. Security policies conflicted with approval gates. The same code that worked perfectly in one environment broke in another.

The problem wasn't the code—it was the assumption that environments are fungible.

Phase 3: The Pivot

We stopped distributing implementations and started documenting architecture. Instead of giving people our system, we teach them how to build their own. Each PRD breaks down requirements, design patterns, and technical specifications.

You're not copying someone else's work. You're using Claude Code to generate an implementation tailored to your environment.

The Philosophy

Give people the blueprint, not the building.

Every production environment has unique constraints: server topology, security policies, compliance requirements, tool availability, workflow patterns. A single implementation can't fit all of them.

But the architecture is transferable. The patterns, the design decisions, the tradeoffs—those principles apply universally. That's what these PRDs capture.

The Five Domains

Plugin Ecosystem

Transform Claude Code from a CLI into a programmable platform. 8 lifecycle hooks, slash commands, MCP integration.

Multi-Agent Orchestration

Design tiered workflows with 27 specialized agents, 5-signal classification, and quality gates for intelligent task routing.

Context Management

Master CLAUDE.md hierarchies, auto-memory integration, and session persistence for coherent agent behavior.

Vector Memory System

Implement cross-session knowledge with Qdrant vectors, semantic recall, and automated memory management.

Agent Governance

Deploy TRiSM-compliant frameworks with 15 audit event types, LLM threat detection, and approval gates.

Why It Matters

AI agents in production need more than prompts and API keys. They need:

These aren't nice-to-haves. They're requirements. And they can't be implemented as afterthoughts.

What You'll Find Here

Five comprehensive PRDs, each 30-70KB of technical documentation. They cover:

Use them as blueprints. Feed them to Claude Code. Build your own system.

Built with Claude Code

This entire site—PRDs, design patterns, documentation structure—was built using the same architectural principles we teach. The governance plugin that enforces approval gates? It's running here. The multi-agent system that validated content? It reviewed every page.

We're not teaching theory. We're documenting what works in production.

Explore the PRDs