Get the Codex vs Claude Code Decision Tree
OpenAI just gave Codex four capabilities Claude Code does not have — not features, capabilities — and most Claude Code devs are about to miss the symmetry break. This playbook is the operator decision tree. CAPABILITY 01 STEERING — interrupt an in-flight Codex task with new direction without killing the run (browser annotation while it works: make this smaller / spacing is off / this copy is wrong) versus Claude Code's Esc that ENDS the run and forces a fresh prompt. CAPABILITY 02 QUEUING — different from steering, queuing adds the NEXT task to the line without interrupting the current one ("once the work is done, send the preview link to Slack") versus Claude Code's no-native-queue model where you wait then prompt. CAPABILITY 03 THREAD AUTOMATIONS — heartbeat wake-ups that return to the SAME thread with the running context (Chief of Staff every 30 min, check Slack + Gmail, draft replies but do not send) versus Claude Code's /schedule that starts fresh in a clean workspace. CAPABILITY 04 GOALS + VERIFIERS — long-running tasks with a real finish line and a verifier that loops until it passes (Python → Rust migration done when unit tests pass; verifiers include test suites, benchmarks, bug repros, validation matrices, E2E workflows) versus Claude Code's subagents and tasks that have no looped verifier. THE DECISION MATRIX — reach for Codex when work is long-running async, the surface is a GUI to annotate, the schedule is a heartbeat returning to same thread, the task has a verifier that loops, or the artifact has to sit beside chat. Reach for Claude Code when you need terminal-native speed, MCP ecosystem maturity, deterministic policy via hooks, CLAUDE.md hierarchy for layered memory, or parallel sub-agents you spawn yourself. Codex = away-from-desk async. Claude Code = at-desk deep coding. Use both. Do not pick a religion. Full credit to OpenAI's "Getting the most out of Codex" playbook and Anthropic's Claude Code documentation.
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