Notes on building with AI twins.
Field notes on engineering, governance, and what changes when a twin does the work.
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Strategy
The Data Sovereignty Flywheel
Owned operational data gives agents richer context, and that context compounds into better work and less vendor dependence. -
Strategy
The Shifting Calculus of Build vs. Buy
Coding agents are reducing both the cost of building software and the long maintenance tail that once made buying the safe default. -
Open Source
Contribution Without Pull Requests
Duaility open source projects will not accept pull requests. We still want contributors; we want their judgment where it matters most. -
Engineering
An AI Twin Is Not Just an Agent
An agent performs tasks. An AI twin adds durable constraints, memory, checks, and accountability around that work. -
Engineering
Introducing Governance Kit
Governance Kit is the open-source layer that turns repeated agent corrections into repo-native rules, checks, and receipts. -
Engineering
The Verification Loop
Testing used to give me confidence in my own code. With coding agents, that assurance had to become a standing verification loop. -
Engineering
The Work Is the Same. The Working Style Is Not.
Humans and agents can work on the same feature, but continuity, parallelism, patience, and interfaces make them effective in different ways. -
Engineering
The Inversion of Software Engineering
Coding agents make production cheap. The harder shift is moving from adding code to living in default refactoring mode.
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