Master OpenAI Codex in 26 minutes

Описание: Run 10+ engineering tasks in parallel without breaking your codebase. This complete OpenAI Codex tutorial shows you how to leverage parallel development, Git worktrees, skills, and automations to ship features faster as a solopreneur or small team.I'll walk you through everything from installation to advanced workflows—including how I run multiple feature implementations simultaneously, automate weekly reports, and use cloud computing for heavy refactoring tasks. This is the all-in-one AI coding workspace that replaces juggling between five different tools.

00:00 Introduction to Parallel Engineering with OpenAI Codex
00:27 Why OpenAI Codex is Revolutionary
01:27 Overview of Today's Agenda
02:29 Setting Up OpenAI Codex
03:19 Choosing and Using Models
04:06 Understanding Sandbox Mode
06:04 Running Tasks Locally and in the Cloud
08:55 Using Git Work Trees for Parallel Development
09:53 Worktree and multithread example
13:02 Demo of worktree 1 output
14:14 Demo of worktree 2 output
16:17 Personalization
16:49 Exploring Codex Skills
22:00 Creating and Running Automations
25:02 Final Thoughts and Recommendations
26:25 Conclusion and Community Invitation

🔗 RESOURCES MENTIONED IN VIDEO
OpenAI Codex: https://openai.com/codex
My Health Data Analyzer App: Available on Mac App Store
Linear: Project management with AI integration
Automation Prompts: Available in description

📝 AUTOMATION PROMPTS
Upskill Automation Prompt:
You are an AI skill maintainer. Your job is to review all skills in this project, identify failures or inefficiencies, and automatically improve them. Check execution logs, update skill files, and optimize for better performance.

Update Agents.md Automation Prompt:
You are an AI agent maintainer. Your job is to review my recent interactions and detect misunderstandings or friction points. Update agents.md to improve future conversations based on observed patterns.

🤝 JOIN THE COMMUNITY

Free AI Community (2,500+ members): https://nas.io/rumjahn

📱 ONE-ON-ONE HELP
Need help with your AI automation project? Book a consultation: https://nas.io/rumjahn/sessions/1-on-...

💡 KEY TAKEAWAYS
✅ Built-in dictation saves $10-20/month on transcription tools
✅ Git worktrees prevent code conflicts when running parallel tasks
✅ Skills = reusable prompts that save hours of repetitive work
✅ Automations = cron jobs for your AI workflows
✅ Cloud execution = run heavy tasks without draining local resources
TOOL COMPARISON:

OpenAI Codex: Best for OpenAI Max plan users, includes worktrees
OpenCode: Multi-LLM support (no Claude), missing worktrees
Claude Code: Highest quality coding, no parallel support (yet)

#OpenAICodex #AIcoding #ParallelDevelopment #Solopreneur #AutomationWorkflow