You aren't using Codex like me...

· Source: Matthew Berman · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Advanced, long

Summary

The article details advanced strategies for optimizing Codex usage, particularly with the new GPT-5.6 model family. It highlights that while Soul offers the highest performance for demanding tasks, Luna Max provides superior performance-to-cost ratio compared to Terra. Users should avoid "fast" mode due to its high cost-to-speed ratio. Key optimization techniques include advanced thread management for delegating tasks and monitoring parallel operations, regularly reviewing the "agents.md" file for outdated rules, and integrating plugins like Zapier for extended functionality. The Codex browser is presented as a powerful tool for complex real-world tasks, including system administration. The guide also emphasizes adding useful skills, utilizing "goals" (loops) for sustained, iterative task completion, and enabling mobile control. Crucially, it outlines security measures, such as implementing pre-tool use hooks to prevent catastrophic file deletions and using the "approve for me" setting for sensitive commands.

Key takeaway

For AI Engineers optimizing their Codex workflows, strategically selecting GPT-5.6 models and configuring advanced features is crucial. Prioritize Soul for complex problems and Luna for routine tasks, avoiding "fast" mode due to its cost. Implement pre-tool use hooks and "approve for me" settings to safeguard your system against accidental file deletions, ensuring secure and efficient autonomous operations. Regularly review your "agents.md" file and explore plugins and goals to maximize productivity.

Key insights

Optimizing Codex with GPT-5.6 requires strategic model selection, advanced features, and robust safety configurations for peak performance and security.

Principles

Method

Configure Codex with pre-tool use hooks to block dangerous commands. Set "approve for me" for sensitive actions. Review "agents.md" and select GPT-5.6 models (Soul for hard, Luna for easy) based on task complexity and budget.

In practice

Topics

Best for: AI Engineer, Software Engineer, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Matthew Berman.