Open source
Research artifacts, platform patterns, and public engineering notes.
The goal is to make AI-native engineering architecture more legible and reusable for serious builders.
Contribution highlights
Publishing architecture notes, research memos, and reusable decision patterns for AI-native engineering systems without exposing proprietary implementation details.
Speaking
Available for talks on AI-native engineering, platform architecture, governance, and how engineering organizations should adapt.
Community
Interested in collaboration with researchers, open source maintainers, platform teams, and engineering leaders.
Speaking topics
Designing the Runtime Layer for AI-Native Engineering
Context Engineering as an Architecture Discipline
Governance for Agentic Software Delivery
From AI Coding Tools to Enterprise Engineering Systems
How Technical Leaders Should Evaluate AI-Native Platform Strategy
Repositories
aine-runtime
Reference architecture for AI-native engineering runtime concepts.
TypeScriptResearch
context-engineering-notes
Public notes on context optimization, memory design, and agent collaboration.
MDXWriting
enterprise-ai-patterns
Reusable patterns for secure, observable, and governable enterprise AI platforms.
TypeScriptPlanned