Budgeting your team’s code review capacity
SMRTR summary
AI coding tools have created a dangerous asymmetry: code generation scales fast, but human review speed hasn't. Senior engineers are burning out validating AI-generated code while dashboards still show healthy throughput. The fix isn't stopping reviews — it's treating reviewer attention as a finite resource by tracking concentration, capping review load, prioritizing by risk, and pushing verification responsibility back to authors.
SMRTR provides this summary for quick context. The original article belongs to Daily.dev.
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