AI Agent Code Governance: Enforce Standards on Copilot & Cursor PRs | Warestack

How to Govern AI Agent Code Contributions

AI agents write code fast. Warestack ensures it meets your standards before it ships.

The agent governance gap

AI coding agents like GitHub Copilot, Cursor, and Claude Code are accelerating development velocity. But speed without governance creates risk. Agent-authored PRs often bypass the review rigor applied to human-written code—because existing tools can't distinguish between the two.

Why .cursorrules and CLAUDE.md aren't enough

Instruction files like .cursorrules and CLAUDE.md tell agents what to do, but there's no enforcement mechanism. An agent can ignore instructions, hallucinate patterns, or drift from your architecture—and no tool catches it before merge.

Warestack's approach to agent governance

Warestack syncs your instruction files into its governance engine and validates every agent-authored PR against them. When an agent opens a PR, Warestack runs intent-to-diff analysis: does the code change match what the agent was instructed to do? If not, it flags the drift before review.

Govern your AI agents

Enforce instruction compliance on every agent-authored PR.

Frequently asked questions

Which AI agents does Warestack support?

Warestack detects agent co-authorship from GitHub Copilot, Cursor, Claude Code, Windsurf, and any tool that uses Git co-author metadata.

Does this slow down agent workflows?

No. Checks run asynchronously on PR events. Agents and developers continue working while Warestack validates in the background.

Can I set different policies for agent vs. human code?

Yes. Warestack agreements can be scoped to agent-authored changes, human changes, or both—with different severity and escalation rules.