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Jason Liu
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Codex-maxxing
Jason Liu.May 10, 2026
Summary
A practical set of tips for using Codex as more than a place to ask coding questions. The article shows how to make Codex more effective by keeping long-running work in durable threads, using voice input to give it richer context, steering tasks while they are in progress, saving useful memory outside the chat, connecting it to browser/computer workflows, setting stronger goals, and reviewing outputs in the side panel.
Key Takeaways
- Keep important workstreams in durable Codex threads so the context, decisions, and preferences do not have to be rebuilt every time.
- Use voice input when the task is messy, early-stage, or hard to type clearly; rough context is often more useful than polished prompts.
- Steer Codex while it is working instead of waiting for one finished answer; this turns AI use into an active work loop.
- Save important context into files, notes, or project memory so it can be inspected, edited, and reused later.
- Give Codex goals with clear success criteria, then review the actual output in the side panel rather than trusting the chat alone.