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OpenAI Codex: CLI, Desktop, Cloud, and Team Workflows

7 posts in this series

Use this series if you want to move from trying Codex to actually shipping with it. It runs from getting started and AGENTS.md context to multi-agent workflows, computer use, GitHub and cloud integration, token-cost optimization, and team adoption.

Getting startedAGENTS.md and skillsCost and workflowsTeam and enterprise
1

How to Use Codex: A Complete Beginner Guide to the CLI, IDE Extension, Codex Cloud, and Desktop App

Learn which OpenAI Codex entry point to use first, how the CLI, IDE extension, desktop app, and web/cloud differ, and how to run a small first coding task safely.

AI & Intelligence
2

How to Write AGENTS.md for Codex Project Rules and Team Workflows

Start with a small AGENTS.md template, understand how Codex loads global, project, and nested instructions, verify that the rules were loaded, and keep AGENTS.md separate from CLAUDE.md, Cursor Rules, Skills, and config.toml.

AI & Intelligence
3

Codex Worktree Guide: Run Multiple AI Coding Tasks Without Polluting Your Repo

Understand Local, Worktree, and Cloud modes in the Codex app, use Git worktrees to isolate Codex tasks by directory and branch, and handle .env files, dependencies, Handoff, review, merge order, and cleanup.

AI & Intelligence
4

Codex Cloud Guide: Hand a GitHub Task to a Cloud Agent and Review the Result

A practical Codex Cloud workflow for developers: configure the Cloud environment, setup script, secrets, and network access, submit a scoped task, inspect the diff and PR, and use @codex review as a second check.

AI & Intelligence
5

Codex Code Review: How to Let AI Review PRs Without Letting It Rewrite Everything

A practical guide to Codex GitHub code review: @codex review, AGENTS.md Review guidelines, commit and PR templates, triaging review findings, and keeping humans in charge of merges.

AI & Intelligence
6

Codex vs Claude Code vs Cursor: Choose by Real Project Workflow, Not Benchmarks

A practical comparison of Codex, Claude Code, and Cursor across entry points, context, cloud tasks, PR review, team governance, and cost boundaries.

AI & Intelligence
7

Codex Automation Workflow: Use codex exec for Issues, Changelogs, and Documentation Checks

Use codex exec to turn git logs, issue lists, and CI logs into reviewable changelogs, triage suggestions, and docs reports, with read-only jobs, schema outputs, and patch artifacts to keep automation safe.

AI & Intelligence
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