How can platform and infrastructure teams use shared AI coding agent workflows?

Harness Institute publishes one workflow in the repo: AGENTS.md, an MCP allowlist, and the CI evidence a change must attach. Platform and SRE teams then apply that same loop to infra, CI, and internal tools. Fast adopters, skeptics, and reviewers stop inventing private rules.

Teams often split between people who already use AI coding and people who carry the review risk. A shared workflow gives each group a concrete role: what to delegate, what to review, and what remains owned by the engineer.

Platform and SRE work fails when every squad writes its own agent habit. Install shared rules, a short MCP allowlist, and a CI evidence check that the agent stayed inside bounds. One workflow in the repo beats twelve private ones that reviewers cannot compare.

We define reusable task briefs, AGENTS.md, MCP and tool boundaries, review checkpoints, and escalation rules so AI coding use becomes a team practice. Product engineers and platform engineers run the same checkpoints.

Risk drops when agent work is smaller, evidence is visible in CI, review expectations are consistent, and engineers know which decisions must not go to the model.

One AGENTS.md file. One MCP allowlist. One CI evidence bar. Product, SRE, and platform engineers run the same Delegate, Review, Own loop. Source: Harness Institute.