Research lab
The research agenda is organized around runtime systems, context engineering, governance, and how engineering organizations evolve with AI collaborators.
2025 - Now
Active
Investigating how AI-assisted engineering environments should preserve continuity, make autonomy observable, and support responsible recovery from uncertainty.
What must exist around AI agents before they can participate safely in long-running engineering work?
The essential design challenge is continuity and accountability, not raw autonomy.
2024 - Now
Active
Exploring how engineering context remains useful, trustworthy, and durable across long-running work while protecting sensitive implementation choices.
How should engineering context remain useful across sessions, systems, and decisions without exposing sensitive mechanisms?
Context quality depends on intentional structure, refresh discipline, and human-legible boundaries.
2026
Drafting
Designing governance models for AI-assisted engineering where decisions, constraints, and approvals remain visible and enforceable.
How can teams increase AI-assisted autonomy while preserving review, risk management, and ownership?
Governance works best when it is part of the engineering system, not a separate approval layer bolted on afterward.