Structured Multi-LLM Code Review Workflow: Preventing Conflicts with Read-Only Reviewers

Workflow value: 85/100
Status: active · Freshness: 70/100 · Confidence: 0.90 · Level: intermediate
Categories: Quality Control, Context & Memory, Debugging, Multi-Agent
Original source: r/ClaudeCode post/comment

What problem this solves

Preventing multiple LLMs from conflicting during code review by establishing a clear, read-only review process with structured feedback, ensuring independent skepticism without unintended modifications.

Summary

A structured, read-only review loop for using a second LLM (e.g., Gemini) to provide independent skepticism on Claude's code or plan. The reviewer LLM is given read-only context and only returns findings in a fixed, classified format, preventing it from becoming another implementer and ensuring human oversight for critical changes.

Why it is useful

This workflow provides a clear, principled approach to integrating multiple LLMs for code review without falling into common pitfalls of agent conflict. It emphasizes structured input/output, clear roles, and human oversight for critical decisions, making the review process more effective, safer, and less prone to 'two agents confidently editing around each other'. It's a foundational pattern for robust multi-agent development.

Workflow

1. Claude writes the initial plan or code diff.
2. Export a 'review packet' containing the goal, constraints, touched files, important snippets, test output, and known uncertainties.
3. The reviewer model (e.g., Gemini) is given read-only context and only returns findings in a fixed format (severity, file/area, claim, evidence, suggested fix).
4. Claude triages the findings from the reviewer, but does not blindly apply them.
5. A human approves any changes that affect architecture, authentication, billing, data deletion, migrations, or external behavior.
6. Force the reviewer model to classify its feedback into categories such as: bug / security / data-loss risk, missing test, overengineering, unclear requirement, or style/preference.

Tools / artifacts

• Claude (as the primary implementer)
• Reviewer LLM (e.g., Gemini, another model)
• Review packet (structured input for the reviewer)
• Fixed feedback format (structured output from the reviewer)

Validation signals

• Clear articulation of common pitfalls in multi-agent systems (e.g., 'letting the second model become another implementer').
• Emphasis on 'permissions' and 'read-only context' as critical design principles.
• Rationale for structured feedback ('stops the review from becoming a pile of opinions').
• Clear objective for the reviewer ('independent skepticism against a constrained packet').

Cautions

• The workflow inherently promotes safety by requiring human approval for critical changes (architecture, auth, billing, data deletion, migrations, external behavior).
• The 'read-only' constraint for the reviewer model prevents unintended or malicious modifications.

Limitations

• Lacks concrete examples of the 'review packet' structure or specific prompts for the reviewer model.
• Does not detail the technical implementation of 'read-only context' or 'permissions' within specific LLM agent frameworks.
• Low community engagement means less external validation of its practical application.

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This post was generated automatically from the workflow library database.