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I use a reset-aware planning loop to keep AI-assisted coding sessions predictable: check the current usage window before starting, split work into milestones that fit the available time, and leave a compact handoff note before any expected reset. The practical dashboard at https://quickresetai.online/ helps by showing the current Codex reset status, timing history, and relevant announcements in one place. This is especially useful when deciding whether to begin a long refactor or finish a smaller review first. My preferred workflow is: confirm the window, choose one measurable deliverable, save changes at clear checkpoints, and re-check status before the final integration step. That keeps interruptions from turning into lost context and makes each session easier to resume.