Gautam Korlam describes how high change volumes shift the software-development bottleneck from writing code to validating combined changes, repairing failures and reviewing them. An earlier merge-queue example illustrates why separately passing pull requests can still break the main branch when merged together, and why testing likely combinations can improve throughput without abandoning validation.
Gautam Korlam discusses caching build outputs, reducing unnecessary compiler invalidation, sharding tests and giving developers earlier feedback. Review becomes another queue even after CI is green, so the talk proposes risk-tiered policies and automated first-pass findings, with independent approval for sensitive changes. The speedups and platform metrics are reported examples, not independently replicated results.
Gautam Korlam argues that a green CI status is not a durable record of policy compliance. As transient artifacts expire, teams need evidence tied to the exact tested commit: where an agent-generated change originated, which checks ran, how findings were resolved, who approved it and why any override was accepted. The agent that authors a change must not simply approve its own work.
Watch on YouTube
