Tips and Tricks for using Codex

The practical change is that agents can stay coherent for longer, complete larger chunks of work end-to-end, and recover from errors without losing the thread.

Long horizon tasks with Codex

Long horizon tasks is an OpenAI Cookbook Codex example by Derrick Choi

Takeaways for long-horizon Codex tasks

What made this run work was not a single clever prompt. It was the combination of:

• A clear target and constraints (spec file)
• Checkpointed milestones with acceptance criteria (plans.md)
• A runbook for how the agent should operate (implement.md)
• Continuous verification (tests/lint/typecheck/build)
• A live status/audit log (documentation.md) so the run stayed inspectable

This is the direction long-horizon coding work is moving toward: less babysitting, more delegation with guardrails.