ADVANCED CODEX FOR SOFTWARE ENGINEERS
Run Codex Like an Engineering Team. Worktrees, Skills, MCP, and Autonomous Automations.
The advanced track for engineers fluent in Codex. Drive Codex Desktop and full-access execution, run parallel work across Git worktrees and multi-threaded development, automate testing and pull requests, build reusable Skills and MCP integrations, and turn workflows into background automations — culminating in an autonomous engineering workflow capstone.
From Daily Workflow to Autonomous Engineering.
What You'll Build
- 🖥️
Codex Desktop Mastery
Navigate Codex Desktop, manage threads and contexts, and pick the right models.
- 🔒
Full-Access Execution
Use Local, Cloud, and Full Access modes safely with governance and guardrails.
- 🌳
Worktrees & Multi-Threading
Run conflict-free parallel development across worktrees and concurrent threads.
- 📏
Testing, Reviews & PRs
Automated test runs, diff reviews, and AI-summarized commits and pull requests.
- 🧩
Skills & MCP Integrations
Reusable SKILL.md assets and MCP servers connecting external tools and APIs.
- ⏰
Background Automations
Convert skills into scheduled, unattended automations with AGENTS.md profiles.
Tools You'll Use
What You Will Build
Twelve advanced modules across one continuous project — toward a complete autonomous engineering workflow.
CODEX DESKTOP + PROMPT-DRIVEN DEV
1 HRMaster the Codex Desktop interface, threads, contexts, and model selection, then generate and iteratively refine complete frontend, backend, and database components from natural-language requirements.
FULL-ACCESS EXECUTION ENVIRONMENTS
30 MINUnderstand the Codex sandbox and security boundaries, then configure Local, Cloud, and Full Access modes for file/folder operations and shell automation — with governance for elevated access.
WORKTREES & MULTI-THREADED DEV
1 HRUse Git worktrees for isolated, conflict-free parallel development and coordinate multiple Codex threads — frontend, backend, testing, integration — for concurrent delivery.
TESTING, REVIEWS & PULL REQUESTS
30 MINRun automated test suites from Codex, review changes with built-in diff analysis, and create commits and pull requests with AI-generated summaries before integrating into shared branches.
SKILLS FRAMEWORK + MCP
1 HRPackage repeatable workflows into reusable SKILL.md assets, then connect third-party services, APIs, and enterprise systems (e.g. Firecrawl) by configuring MCP servers inside Codex Desktop.
AUTOMATIONS + AGENTS.md
1 HRConvert skills into scheduled, recurring background automations running in unattended worktrees, and use AGENTS.md to define persistent agent behavior, standards, and self-correction.
ENTERPRISE OPS + AUTONOMOUS CAPSTONE
1 HR 30 MINCombine worktrees, skills, MCP, and automations into unified, governed workflows, then build and present a production-ready autonomous engineering workflow from design to deployment.
Your Instructors
Prem Kumar
AI Architecture Expert
"Anyone can build an AI demo. I teach you how to build the architecture behind systems that scale, because the gap between prototype and production is where most teams get stuck."
Specialty
Himal Rajan
Full Stack & AI Developer
"From React frontends to Python AI backends, I've spent my career building full-stack systems that actually ship, RAG pipelines, autonomous agents, and production APIs that handle real traffic. At RocketOne, I teach you the exact engineering decisions that turn an AI prototype into a system your users can depend on."
Specialty
Naveen Kumar
AI/ML Engineer
"I've built AI systems across Zoho, Virtusa, and now SquareShift, from machine learning pipelines to generative AI applications. At RocketOne, I teach you the practical skills to build AI-powered solutions that work in the real world, not just in notebooks."
Specialty
Industry practitioners with hands-on delivery experience at SquareShift Technologies, a Google Cloud Premier Partner serving Fortune 500 clients.
What You Need Before Day 1
Required
- Completed Codex CLI Level 2 (productive daily workflow) or equivalent hands-on Codex experience
- Comfortable with Git, GitHub, and the command line
- Codex installed with an OpenAI account
Not Required
- Prior MCP, skills, or automation experience
- Enterprise DevOps background
This is the advanced (Level 3) track. You should already use Codex daily; here you add worktrees, skills, MCP, and background automation on top.