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Software & DevOpsDone with Codex Jul 26, 2026

Run a planner and cheap executor subagent coding pipeline

The commenter uses Codex with GPT-5.5 as planner and a GPT-5.4 Mini agent as executor so cheaper models handle tasks that would otherwise cost too much.

Run a planner and cheap executor subagent coding pipeline preview
What They Did
In the thread, the commenter says they built their own workflow instead of relying on Codex’s default agent flow. They use GPT-5.5 only to plan tasks, then hand those tasks to a GPT-5.4 Mini agent that does most of the actual work, specifically including file editing; the person chose and assembled this routing themselves.
How It Went
The claimed result is lower-cost handling for most coding work because GPT-5.4 Mini covers most tasks while the pricier model is reserved for planning. The comment gives no metrics, examples, or failure cases.
Worth Knowing
The main catch is that they had to build the workflow themselves; the comment links a GitHub project but gives no setup time or cost numbers.
Try it yourself with Codex

In [repo path], set up a two-stage workflow for this task: [task description]. First, use the strongest model to write a step-by-step plan with small, well-specified subtasks and acceptance tests. Then hand each subtask to a cheaper, smaller model as an executor subagent, and have the planner review each result. Stop when all acceptance tests pass, and give me a summary of the plan, the changes, and any subtasks that needed rework.

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