Constraint Encoding as an Engineering Governance Primitive
How explicit constraints reduce execution variance while preserving developer control in mixed human-agent workflows.
Read essayEssays and field notes on how teams design, validate, and scale autonomy across engineering systems.
How explicit constraints reduce execution variance while preserving developer control in mixed human-agent workflows.
Read essayA practical pattern for keeping quality bars stable as AI raises implementation throughput across repositories.
Read essayDesigning clear operational handoffs so autonomous execution remains observable, reversible, and policy-aligned.
Read essayBaseline practices that help teams adopt AI assistance without creating hidden coupling or brittle defaults.
Read essaySignals, auditability, and control loops needed before continuous autonomous improvement can be trusted.
Read essayUsing a shared autonomy vocabulary to compare delivery systems, find risk hotspots, and prioritize interventions.
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