Codex Mobile App + Advanced AI Coding workflows - Video

**How to ACTUALLY Maximize Your AI Coding Agent | Codex Automations, Mobile App, TDD & Orchestration

Telegram for AI Developers: https://t.me/+Rsq5TI9nWUA5MjEy

Stop obsessing over which AI wrapper is "best" — the real edge comes from building a clean environment, smart automations, and becoming a better orchestrator. In this 36-minute deep dive I share everything I've learned over the past few months going deep with OpenAI Codex, including workflows and setups I haven't seen anyone else talk about: a custom mobile companion app, scheduled Codex automations, skill-level memory, test-driven development with agents, and multi-agent orchestration with Claude Teams.

⏱️ Chapters / Timestamps

0:00 — Intro: hope you're well + what this video covers 0:21 — Topics overview (mobile app, codex automations, skill memory, TDD)
1:04 — Premise: everyone is obsessed with the wrong stuff
1:29 — The only tools that really change everything come from Anthropic & OpenAI
2:13 — Why a clean codebase structure matters for agents
2:38 — Wisdom from traditional software teams (PM, architect, dev roles, DevOps, Business Analysts)
3:41 — Don't get sidetracked by "this changes everything" YouTubers
4:05 — Automated file size checks (600 line max) to stop token waste
5:53 — Codex Mobile App (TailScale + OpenAI native server) walkthrough
7:38 — Two-way calling with ElevenLabs (real-time voice ↔ agent)
11:54 — Codex Automations - Self improving code-base
18:48 — Orchestration mindset: how big & valuable are the tasks you assign?
15:19 — Building ML/data pipelines with no ML background
20:48 — Test-Driven Development with AI agents
24:00 — I could automate you
26:13 — Throw compute at your problems — GPT Pro deep research mode
27:55 — The real skill: orchestration, not engineering
29:23 — Your personal knowledge is the limiting factor (and biggest multiplier)
31:31 — Closing Thoughts

???? Tools & Workflows Mentioned
OpenAI Codex — primary coding agent
OpenAI Codex Server — local server exposing all conversations via API
TailScale — secure tunnel to access your machine remotely
ElevenLabs — real-time STT + TTS for the mobile companion app
Codex Automations (automations.toml) — scheduled prompts running on cron-like triggers
Codex Computer Use — agent browses Safari, performs UI tasks autonomously
Claude Teams — multi-agent research/orchestration feature
Cemux (Ghostty fork) — terminal multiplexer for visualizing concurrent subagents
Ghostty — lightweight terminal (replaced Warp for lower RAM usage)
Ruff + Pyright — Python linters/formatters for clean code
Better Stack + Sentry — production monitoring (mined by Bug Hunter automation)
Linear + GitHub PRs — sources for the skill improvement automation
GPT 5.5 Pro (Deep Research) — 45-minute reasoning runs for big-picture problems
Kling — AI video gen (referenced as automation example)
Happy / Omnara / Remodex — third-party Codex mobile tools (tested, not recommended)

???? Key Workflow Summaries

Clean Codebase as Agent Environment — enforce 600-line file caps & 80-line functions so agents don't blow context windows.

Codex Mobile App — progressive web app over TailScale + OpenAI server; respond to agents from anywhere via text or voice call.

Codex Automations — ~30 scheduled prompts running daily (test gap finder, dead code remover, doc validator, bug hunter, skill improver) opening draft PRs while you sleep.

Skill-Level Memory — each skill keeps its own hidden notes ledger so agents don't repeat work or hit the same walls.

TDD With Agents — write failing tests first, then implementation; regression tests in CI prevent silent breakage.

Orchestration Over Engineering — your value scales with task size & quality, not lines of code.

Claude Teams + Cemux — visualize and broadcast to 6+ concurrent subagents in parallel terminals.

???? Drop questions below — open sourcing some of this in the description soon.

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