Zygmunt Dyras

I'm a Vice President of Engineering with over a decade of experience leading distributed engineering teams building infrastructure for the open web. My career has been defined by one consistent thread: building systems that scale, remain aligned with their purpose, and respect the constraints they operate within.

Currently at WP Engine, I lead engineering organizations responsible for platform reliability, developer experience, and the technical direction of products used by millions of websites globally.

Outside of my day job, I run IDDQDX — my personal research playground for context engineering experiments. The name comes from the classic DOOM cheat code for invincibility. The idea: in AI systems, context is your invincibility shield. Without it, you're just guessing.

The next wave of AI won't be won by model size or parameter count. It'll be won by context depth — the ability to understand the epistemic boundaries of what we're building, to build systems that know what they don't know, and to architect AI that respects human agency rather than eroding it.

I'm particularly focused on the intersection of privacy-preserving computation and AI — the idea that intelligence and sovereignty aren't mutually exclusive. You shouldn't have to give up your data to benefit from AI.

I also think deeply about context engineering as a discipline — not prompt engineering (that's a tactic), but the systematic architecture of information flows that enable AI systems to reason correctly about their situation.

Each project at IDDQDX is a hypothesis about how AI systems should be architected:

• LOCI — A 4D spatiotemporal vector database giving AI agents persistent spatial memory. The hypothesis: embodied intelligence requires remembering where things were, not just what they are.
• GetEnclave — Privacy-preserving AI framework. The hypothesis: zero-knowledge principles can be applied to AI inference, enabling intelligence without surveillance.
• Helixight — Genetic algorithm framework for LLM optimization. The hypothesis: evolutionary search finds better context configurations than human intuition.
• Genesis World — AI-orchestrated multiplayer metaverse. The hypothesis: LLMs as world-state managers create emergent narratives impossible to script.