Guiding Principles
These principles guide how we approach software development in the age of intelligent collaboration.1
Design for Adaptation
We design for adaptation, not completion. Systems should evolve with changing requirements and new insights.
2
Living Artifacts
Every artifact — code, spec, or insight — is a living node in a learning loop. Nothing is truly “done.”
3
Observe, Reason, Evolve
We build systems that observe, reason, and evolve with their environment. Static systems become obsolete.
4
Human Direction, Machine Exploration
Human intuition sets direction; machine intelligence accelerates exploration. The partnership multiplies capabilities.
5
Trust Through Transparency
Transparency and traceability are essential — trust is the new build system. We must understand what AI produces.
6
Conversation, Not Command
Collaboration between humans and agents must feel like conversation, not command. Natural interaction enables better outcomes.
7
Measure Understanding
We measure progress by shared understanding and capability, not velocity alone. Speed without comprehension is dangerous.
8
Augmentation, Not Automation
The future of engineering is not automation — it’s augmentation. AI amplifies human capability, not replaces it.
Apply These Principles
See how these principles manifest in the rhythm between exploration and execution