Cold Validation Architecture: Dual-Agent Code Review System Open-Sourced

Cold Validation Architecture is an open-source system that implements dual-agent validation for AI-generated code. One agent writes the code, while a separate agent reviews it independently without access to the builder's reasoning or context.

How It Works

The system addresses single-agent self-review bias by applying separation of duties similar to independent audits. The reviewer operates in complete isolation from the builder's thought process.

Workflow Phases

• Write plan → /review-plan (Gate A)
• Implement → /review-impl (Gate C)
• Ship → /acceptance-report (Gate D)

Key Implementation Details

• The reviewer runs in an isolated temporary directory
• Reviewer only sees: plan document, code diff, and test output
• Findings persist with fingerprints for tracking
• Builder can disagree with reviewer's rationale
• Maximum 2 rounds per phase
• Built with bash scripts and JSON schemas
• Currently works with Claude Code + Codex CLI
• Pattern is agent-agnostic (can work with different AI agents)

Technical Specifications

The system is implemented as bash scripts that coordinate between two separate AI agents. JSON schemas define the structure for plan documents, code reviews, and acceptance reports. The isolated execution environment ensures the reviewer has no access to the builder's internal reasoning or intermediate steps.

This approach is useful for developers who want to implement more rigorous validation for AI-generated code, particularly when working with complex systems where single-agent self-review might introduce confirmation bias.