
Codex CLI (codex exec, codex resume) gives your AI agents a first-class terminal interface for code execution, task resumption, and development workflow automation. It's the difference between an AI that suggests code and one that runs it.
Bottom line: Codex CLI turns your AI agent into a developer who can actually run the code it writes — iterate, test, fix, and ship without handing off to a human terminal.
codex exec to run commands in any languagecodex resume picks up from where a previous run left off```bash npm install -g @openai/codex
pip install openai-codex ```
```bash codex auth
codex auth --api-key $OPENAI_API_KEY ```
```bash
codex exec --prompt "Run the test suite and report failures"
codex resume --task-id abc123
codex exec --prompt "Refactor the auth module to use JWT, then run tests, then commit with a descriptive message" ```
| Pros | Cons |
|---|---|
| Agents actually execute code, not just suggest it | Security considerations in untrusted environments |
| Task resumption is a game-changer for long-running tasks | Costs can add up with extensive execution |
| Works in CI — agents can own their own pipeline steps | Still requires guardrails for production code |
| Language-agnostic — same interface for any runtime | Some edge cases around stateful applications |
Codex CLI bridges the gap between "AI that writes code" and "AI that ships code." For development workflows, this is the missing piece — instead of your agent handing you a diff to review, it can run the tests, see the failures, and iterate until they pass.