Governance for AI-assisted shipping (without slowing down)
A practical playbook for guardrails: review quality, deploy reliability, and healthy developer experience, measured at the org level.
The biggest AI risk is not that code is “wrong.” It is that complexity increases quietly while teams ship faster, until reliability and maintainability degrade. Governance does not have to mean heavy process. It can mean better feedback loops.
Guardrail 1: review health
If review time spikes, throughput will collapse. Track review bottlenecks and participation patterns to keep the system moving.
Guardrail 2: delivery reliability
Speed is only valuable if it stays safe. Use reliability metrics alongside throughput: deploy frequency, lead time, and recovery time.
Guardrail 3: human sustainability
AI can reduce toil, but it can also increase cognitive load through more context switching and larger change surfaces. Capture continuous feedback with pulse drivers and act on trends early.
Ship faster, with fewer surprises: measurable flow, measurable reliability, and measurable team health.
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