Running multi-agent teams without losing the review trail

Multi-agent coding only works when each agent leaves a reviewable contract in the repository. Running multi-agent teams is coordinating several coding agents on one codebase so scope, instruction precedence, and verification stay visible in files a reviewer can inspect.
The merge queue is where weak coordination shows up first. Three agents can finish three tasks, but the team still has to know which rules governed each diff.
Put the agent contract where reviewers already look
Do not treat multi-agent coding as a pure speed problem. Treat it as a coordination problem.
When a team adds a second or third agent, the hidden cost is reconstruction. Reviewers should not have to replay chats, terminal sessions, or local prompts to understand why a file changed.
Use the repo as the source of truth. Each delegated task should name its allowed paths, forbidden paths, verification command, and merge owner before the agent starts.
In a typical TypeScript monorepo, a checkout validation task might allow apps/web/app/api/checkout/** and packages/payments/**, forbid infra/**, and require pnpm test payments before merge. That is enough for a reviewer to compare the diff against the original boundary.
Give Cursor a narrow scope ledger
Cursor is easiest to review when .mdc rules describe the task boundary outside the chat. The rule should say what the agent may change, what it must not touch, and how the result will be checked.
Don't use chat instructions as the only contract. They are hard to audit during review and easy to lose after the session.
Use Cursor's agent workflow for the work, but keep the scope ledger in version control. If a task needs to touch a new folder, update the ledger before accepting the change.
Separate instructions from enforced permissions
Keep team policy in the files each tool reads, but do not treat a precedence paragraph as a security control. Claude Code describes CLAUDE.md as context. Codex documents its instruction discovery order separately from its sandbox.
Write down the intended scope, then check the runtime permissions and service credentials that enforce it. Test denied actions using harmless fixtures. If a task needs wider access, the owner should review that access change before the agent continues. A repo instruction cannot override a runtime denial.
Make Codex leave a replayable trail
Codex CLI for terminal workflows is easiest to trust when AGENTS.md requires a replayable record. The goal is not a perfect transcript. The goal is enough evidence for a reviewer who did not watch the terminal.
Watch for verification theater. A command may have run locally, but if the PR does not include the command, result, and relevant context, the reviewer cannot rely on it.
For a CLI-driven change, require the PR to state the intent, summarize the diff, and paste the exact verification command. The Codex CLI docs shows how to start the workflow; the team still needs to define the review trail.
Rehearse one overlapping change
Use two isolated branches from the same base commit in a disposable practice repository. Give one agent a checkout-validation fix and the other a test-only review of that behavior. Name a single integration owner. Each handoff should identify its base commit, changed paths and exact checks.
Before combining the patches, compare touched paths and agree which change owns any overlap. Apply the accepted work in order, inspect the combined diff and rerun the focused tests against the combined result. Passing tests on each branch separately do not prove the integration works. If both agents edited the same contract differently, stop and settle the intended behavior before resolving text conflicts.
This is a proposed coordination drill. Use it to expose ownership and integration gaps, not to claim that parallel agents always save time.
Use one merge gate across all agents
Different tools need different local files, but the merge queue needs one shared gate. The reviewer should be able to answer five questions without asking the operator to reconstruct the session.
- Did the task stay inside the allowed paths?
- Did the repo say which instructions win when rules conflict?
- Does the PR include the command trail and verification result?
- Does each Model Context Protocol (MCP) server have an owner and rollback path?
- Did sensitive paths get explicit human signoff?
This is the Review step in our methodology: make the evidence cheap enough that humans can spend their attention on design and risk. For broader governance patterns, keep this work aligned with your team's agentic coding governance standards.
Copy this starter contract into the repo and adapt it per tool:
# Agent task contract
- Agent/tool: <Cursor | Claude Code | Codex CLI>
- Goal: <one sentence describing the intended change>
- Allowed paths: <exact folders or globs>
- Forbidden paths: <files or folders requiring human edits>
- Instruction precedence: <what wins if rules conflict>
- Verification command: <exact command reviewers should expect>
- Evidence required in PR: <diff summary, command output, notes>
- Merge owner: <person or team>
- MCP servers used: <name, allowed actions, owner, rollback path>
Further reading
- Cursor rules documentation
- Cursor agent overview
- Claude Code getting started
- Claude Code hooks
- OpenAI Codex CLI docs
- OpenAI Codex repository
- Model Context Protocol specification
- NIST AI Risk Management Framework
- OWASP Top 10 for LLM Applications
Make the next agent run reviewable
Pick one active workflow and add the agent task contract before the next delegated change. If you want to rehearse it on a live repo, bring that workflow to a training session.
Editorial update
Updated 20 September 2026: separated policy from enforcement and added a concrete two-agent integration exercise.