Start as a hands-on developer productivity service that performs a fixed-scope CI and build-system audit, then delivers concrete improvements such as test selection, flaky test triage, remote cache tuning, Buildkite or GitHub Actions pipeline cleanup, Bazel migration support, and CI observability. The first offer can be a four-week engagement with measurable targets: reduced median CI time, fewer unexplained failures, faster local setup, and a prioritized engineering velocity roadmap. Over time, repeated diagnostics, pipeline templates, metrics collectors, and failure-classification tooling can become a productized managed service or lightweight software layer.

AI-heavy and infrastructure-heavy companies are scaling engineering teams while their CI/CD systems are becoming more expensive, slower, and harder for developers and AI coding agents to navigate. The signals also show this work is moving from generic DevOps^? into a distinct developer velocity function.