Discover how combining SAP LeanIX, Neo4j, and LLMs can revolutionize Enterprise Architecture by enabling AI-driven architectural reasoning.

My learnings from the Max Agency podcast with Izzy Miller—how Hex evolved from single-shot SQL to a full multi-agent notebook platform, and what it took to get there.

Learn how to use the Model Context Protocol (MCP) to connect your Neo4j Enterprise Architecture Knowledge Graph to AI agents like Copilot or Claude.

An exploration of long-horizon AI evaluations like Vending-Bench 2, demonstrating where modern LLMs thrive and break down over year-long operations.

A deep dive into extracting LeanIX data and modeling it into a Neo4j Knowledge Graph using dvm-leanix and idempotent Cypher load scripts.

Exploring Pi-mono, a minimalistic coding agent, and pi-mom, a self-managing Slack bot that writes its own tools.

From 'vibe coding' to structured spec engineering and harness engineering as the foundation for building with AI agents.

Exploring the impact of AI coding tools on developer practices and the risk of accumulating AI legacy code.

A deep dive into the 'Head of AI Observability' persona and a product requirements document for an agent governance platform.

Shadow AI agents - can the business function if a given agent stopped working? The new automation debt.

Exploring the challenges of monitoring AI agents at scale and the need for a unified observability and governance platform.