A coding-agent rollout takes your engineering organisation from scattered individual use to sanctioned, measured use in about six weeks: a baseline of delivery metrics, a usage and data policy, repository context and shared skills, a champion cohort, cost caps and routing, and a readout against the baseline. It works with Claude Code, Codex, Cursor and Copilot, and the playbook stays with your team.
Who owns the mistake? Your engineers, as now. Agents propose; people approve plans, review every change and merge.
Built for CTO · VP engineering · Head of platform · CISO
The work
Today
With the agent
People decide
What comes out
The number
Systems it works in
| Metric | How it's measured |
|---|---|
| Lead time for changes | Approved ticket to change in production. |
| Change failure rate | Held at or below baseline while throughput rises. |
| Review wait | Median hours a pull request waits for a person. |
| Cost per merged PR | Token and licence spend against merged work. |
Market context
productivity gain from AI coding tools alone, against 25–30% for teams that redesign the workflow end to end.
Bain Technology Report 2025(opens in a new tab)for Uber to spend its 2026 AI coding-tool budget, after which it capped spend per engineer per tool.
AI Magazine(opens in a new tab)Fair questions
Questions
A one-hour call with a founder and an engineer. Bring a BOQ, a stack of POs, last month's invoices or a backlog, and leave knowing what would work, what wouldn't, and what it would take.
170+ projects · 65 companies · founders on every engagement