GitHub-native agentic engineering operating model

The operating model is the product. Agents are only useful when work is legible.

Control surface

Repository readiness

Ownership, instructions, build and test commands, generated-file policy, forbidden areas, and rollback guidance.

Issue contract

Acceptance criteria, non-goals, affected components, risk class, validation expectations, and escalation boundaries.

Worktree discipline

Use short-lived worktrees from protected trunk. Keep scratch branches local. Never push trunk directly.

CI guardrails

Formatting, linting, typechecking, tests, schemas, security checks, preview builds, and artifact validation before merge.

Review loop

Agent review is useful but not authoritative. Human review owns judgment, system context, and production risk.

Control plane

Centralize manifests, ledgers, approvals, evaluations, provenance, and publish history. Keep agents narrow.

Platform integration

Join GitHub repos, AWS tags, Terraform state, service ownership, dashboards, alerts, and deployment records.

Autonomy boundary

Automation may increase only inside proven policy, telemetry, CI, rollback, and approval boundaries.