# Codex CLI Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/codex-cli
> Markdown URL: https://aitinkerers.org/technologies/codex-cli.md
> Technology record last updated: 2026-09-18T15:13:39Z
> Generated: 2026-09-21T21:42:02Z

The open-source AI coding agent from OpenAI: It brings the power of o4-mini models directly to your terminal for local, secure development.

Codex CLI is OpenAI's open-source, lightweight AI coding agent, leveraging models like o4-mini to execute complex coding tasks directly in your terminal. It translates natural language prompts into executable code, file edits, and shell commands. The tool runs locally in a sandboxed environment, ensuring your source code remains private and secure. Developers gain control via three distinct approval modes: Suggest (default), Auto Edit, and Full Auto. Installation is fast: use `npm install -g @openai/codex` or `brew install --cask codex`.

- Official technology site: https://github.com/openai/codex
- Public AI Tinkerers demos and talks: 5
- Result page: 1 of 1

## Recent Public Talks and Demos

### [/spawn-team: A Self-Healing Multi-Agent Coding Pipeline with Claude Code + Beads](https://seattle.aitinkerers.org/talks/rsvp_yI3yt6tcSig)

A workflow that decomposes a software feature into parallel implementation arms, farms each arm to a Codex agent running in an isolated git worktree, enforces completion ordering through a persistent DAG, auto-retries failed arms with exact judge findings, and merges clean — all resumable across session breaks. The demo shows this running live on a real codebase: pouring the DAG template, watching the explorer dynamically bond implementation arms after reading the code, two Codex agents working in parallel worktrees, the judge failing and retrying, then bd graph showing the full live state.

- Event context: AI Dev Tools Track - Seattle — 2026-05-06 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_yI3yt6tcSig

### [VibeCoding Workflow Demo](https://tokyo.aitinkerers.org/talks/rsvp_u9WbAeMW-P8)

I want to show how I use the latest vibe-coding tools and what is my current workflow, for testing, reviewing, parallel feature design and development. What additional tools I use for dictation or remote access from phone, etc

- Event context: AI Tinkerers Ginza Meetup – January 15, 2026 — 2026-01-15 — Tokyo
- Public talk page: https://tokyo.aitinkerers.org/talks/rsvp_u9WbAeMW-P8

### [Vibe Scaffold - A wizard-style tool that guides you from a rough idea to a refined technical architecture that AI coding agents can execute](https://seattle.aitinkerers.org/talks/rsvp_aUibZaTvUtY)

I created vibescaffold.dev. It is a wizard-style AI tool that will guide you from idea → vision → tech spec → implementation plan. It will generate all the documents necessary for AI coding agents to understand &amp; iteratively execute on your vision. How it works: - Step 1: Define your product vision and MVP - Step 2: AI helps create technical architecture and data models - Step 3: Generate a staged development plan - Step 4: Create an AGENTS.md for automated workflows I've used AI coding tools for awhile. Before this workflow (and now, this tool), I kept getting "close but not quite" results from AI coding tools. I learned that the more context &amp; guidance I gave these tools up front, the better results I got. My presentation will be: 1) Here's the tool and how it works - quick walk-through 2) Here are how AI coding agents behave when given these documents 3) My soft launch &amp; some metrics 4) My thoughts on the gaps in the marketplace of vibe coding &amp; AI-assisted coding (if this is appropriate)

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — December 8, 2025 — 2025-12-09 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_aUibZaTvUtY

### [Simple Retrieval with Codex CLI and Bash](https://seattle.aitinkerers.org/talks/rsvp_9-gmI6Gpuh0)

Parallel document extraction demo using multiple Codex CLI instances running simultaneously. Each agent uses the experimental_instructions_file field to receive specialized prompts for extracting different information (payment amounts, deadlines, parties, etc.) from contracts; no embedding pass needed. Live bash script demo with timestamped results.

- Event context: October Meetup - Science Fair at Foundations — 2025-10-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_9-gmI6Gpuh0

### [We need new interfaces for verification](https://sf.aitinkerers.org/talks/rsvp_t_v3p8qGjNQ)

I'm going to be presenting cmux (https://github.com/manaflow-ai/cmux) which is an open source coding CLI manager that lets you run Amp, Claude Code, Codex CLI, Cursor CLI, Gemini CLI, Opencode, and other coding agent CLIs in parallel across multiple tasks. Verification is a big problem when you run a lot of agents in parallel. A human's time to review AI work is limited, so cmux provides three important features: 1) "Vercel preview URLs" based around the devcontainer.json standard, so you can easily encapsulate your entire development environment 2) "Vercel preview comments" inside each deployment frontend that lets you give feedback directly from your website. Comments automatically spin up additional coding CLIs to autofix. 3) Computer use agents in CI/CD that tests UI changes and takes screenshots to easily compare outputs of different models. We several more ideas on improving verification, but these three are the ones ready today!

- Event context: AI HyperEngineering: Claude/Amp Maxxing, Background Agents, CI/CD — 2025-08-22 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_t_v3p8qGjNQ

## Related Technologies

- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 215 public demos
- [Gemini CLI](https://aitinkerers.org/technologies/gemini-cli) ([Markdown](https://aitinkerers.org/technologies/gemini-cli.md)) — 16 public demos
- [bash](https://aitinkerers.org/technologies/bash) ([Markdown](https://aitinkerers.org/technologies/bash.md)) — 12 public demos
- [bd mol](https://aitinkerers.org/technologies/bd-mol) ([Markdown](https://aitinkerers.org/technologies/bd-mol.md)) — 1 public demo
- [Beads](https://aitinkerers.org/technologies/beads) ([Markdown](https://aitinkerers.org/technologies/beads.md)) — 7 public demos
- [Docker](https://aitinkerers.org/technologies/docker) ([Markdown](https://aitinkerers.org/technologies/docker.md)) — 147 public demos
- [Gemini DeepThink](https://aitinkerers.org/technologies/gemini-deepthink) ([Markdown](https://aitinkerers.org/technologies/gemini-deepthink.md)) — 1 public demo
- [git worktrees](https://aitinkerers.org/technologies/git-worktrees) ([Markdown](https://aitinkerers.org/technologies/git-worktrees.md)) — 2 public demos
- [GPT-4o](https://aitinkerers.org/technologies/gpt-4o) ([Markdown](https://aitinkerers.org/technologies/gpt-4o.md)) — 57 public demos
- [MarkItDown](https://aitinkerers.org/technologies/markitdown) ([Markdown](https://aitinkerers.org/technologies/markitdown.md)) — 1 public demo
- [Next](https://aitinkerers.org/technologies/next) ([Markdown](https://aitinkerers.org/technologies/next.md)) — 186 public demos
- [OpenAI API](https://aitinkerers.org/technologies/openai-api) ([Markdown](https://aitinkerers.org/technologies/openai-api.md)) — 520 public demos
- [openvscode-server](https://aitinkerers.org/technologies/openvscode-server) ([Markdown](https://aitinkerers.org/technologies/openvscode-server.md)) — 1 public demo
- [Whisper](https://aitinkerers.org/technologies/whisper) ([Markdown](https://aitinkerers.org/technologies/whisper.md)) — 26 public demos
