AI code review governance for engineering leaders
Governance fails when it lives in a policy doc instead of the daily pull request. Engineering leaders need an operating model that turns AI code review into a habit: clear LLM code review standards, defined agent permissions for coding agents, and MCP boundaries reviewers can enforce. We build that governance model into task categories teams actually use, with adoption checks that show whether it holds.
Governance should be operational
Policies only help when they show up in everyday engineering work. We translate governance into task categories, AI code review standards, LLM code review rules, MCP boundaries, coding-agent permissions, and measurable adoption checks.
The DRO control model
Teams decide what to delegate, what to review, and what to own. This keeps AI work moving while protecting architecture, security, data handling, and business logic decisions.
What leaders can measure
Useful metrics include review time, escaped defects, cycle time, agent run abandonment, test coverage movement, and the percentage of AI-assisted work with explicit verification.
Official references
Current product documentation we use when shaping this training topic.
Selected research
Representative field notes connected to this topic.
Agent Boundaries That Hold
A boundary-setting guide for agentic coding teams, covering connector ownership, scoped permissions, review logs, and approval checkpoints.
MCP training for engineering teams
Practical mcp training for engineering teams using agentic coding, review guardrails, and connector boundaries.
Cloud agents need workspace rules
Cloud agents need workspace rules reframed as an operating guide for MCP-connected AI coding teams that need connector ownership, scopes, and review.
Fast mode is not the default
Fast mode is not the default reframed as an operating guide for MCP-connected AI coding teams that need connector ownership, scopes, and review logs.
Recursive agents, guardrails that hold
A field guide for MCP-connected AI coding adoption, using Recursive agents, guardrails that hold to connect connector ownership, scopes, and review.
Agentic PR Review Workflow
A PR review workflow for agentic coding teams, with connector ownership, scoped tasks, review logs, and human approval lanes.
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