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

12 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 with stdin, JSONL, and schema output to build reviewable changelog, issue-triage, docs-drift, and Actions workflows with permission boundaries.

AI & Intelligence
8

Codex Security Boundaries: Permissions, Sandboxes, and Secret-Leak Controls

A practical guide to Codex security boundaries across local work, Cloud, and CI: sandbox modes, approvals, permission profiles, dependency installs, Cloud secrets, GitHub Actions API keys, and leak response.

AI & Intelligence
9

Codex Failure Cases: Why AI Breaks Code and How to Review Its Changes

A practical review workflow for Codex changes: spot oversized diffs, weak tests, CI shortcuts, missing review, and unclear scope, then use scope, plan, patch, verify, review, and rollback gates before merging.

AI & Intelligence
10

Codex Skills and Plugins Guide: Turn Team Workflows into Reusable Capabilities

A practical guide to AGENTS.md, Codex Skills, Plugins, MCP, and Subagents: build a minimal code-review Skill, then decide when it should become a role-specific plugin.

AI & Intelligence
11

Codex Test-Driven Development: Make AI Write the Test First, Then Get to Green

A practical Codex TDD workflow: write a failing test first, make the smallest implementation change, run real tests, and use diff review, CI, and GitHub status checks to prevent false green results.

AI & Intelligence
12

Codex Computer Use and the In-App Browser in Practice: Let the Agent See Pages, Operate Apps, and Iterate Frontend

Learn how Codex Computer Use and the in-app browser work together: operating apps with the cursor, iterating frontend in the browser, using Developer mode for debugging, and choosing the right workflow for each platform.

AI & Intelligence
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