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codex-claude-loop

codex-claude-loop
Launch Date: July 27, 2026
Pricing: No Info
AI coding, software development, GitHub project, code review, automation

codex-claude-loop: A Gated Build Loop for Auditable AI Development

Research context and background

codex-claude-loop is a specialized workflow tool designed to create a strict build loop between two AI coding assistants, Codex and Claude. Its main goal is to ensure that code written by an AI follows a specific plan approved by a human. The tool prevents situations where the final code drifts away from the original idea or reasoning. It works by forcing a specific order of steps where humans must approve plans before implementation and review code before it is released.

Benefits

The tool offers several key advantages for developers who use AI to write code. First, it prevents drift. This happens when an AI implementation changes from the original plan. The tool stops this by requiring the AI to write the plan, get human approval, and then implement that exact plan without changes. Second, it ensures continuity. The tool keeps the AI in the same conversation thread for planning and implementation. This means the code is a direct continuation of the original thought process rather than a new interpretation. Third, it enforces integrity through hashing. The system checks file hashes to ensure no changes happen after a review is approved. If a file is edited even by one byte after approval, the system blocks the release. Finally, it adds safety through human-in-the-loop gates. Humans must explicitly approve the plan and the final review before any code is finalized or pushed to a repository.

Use Cases

This tool is ideal for teams that want to use AI for software development but need strict control over the output. It is useful when a developer wants to delegate coding tasks to an AI but still maintain full oversight. For example, a developer can give a brief description of a task, and the tool will guide the AI to create a detailed plan. The developer then reviews and approves this plan. The AI then implements the code based on that approved plan. The developer reviews the changes one last time before the code is released. This workflow is perfect for projects where accuracy and adherence to a specific design are critical. It is also useful for teams that want to audit their AI-generated code to ensure it meets security and quality standards. The tool integrates with Git to prevent unauthorized commits, making it suitable for professional development environments.

Pricing

No pricing information is available for codex-claude-loop. It is an open-source project hosted on GitHub. Users can install it for free using command-line tools or through the Claude Code plugin marketplace.

Vibes

There are no public reviews or testimonials available for codex-claude-loop. As a specialized open-source tool, it has not yet received widespread public feedback or user ratings.

Additional Information

codex-claude-loop is an open-source project maintained by a developer known as ozzaii. The project is available on GitHub at the repository ozzaii/codex-claude-loop. It is designed to work with Codex CLI and Claude Code. The tool includes a comprehensive test suite to validate its logic and ensure it works correctly. It does not require external dependencies beyond standard tools like git and jq. The project focuses on creating a rigorous framework for AI-assisted development by enforcing strict rules at every step of the process.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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