ENTERPRISE CODEX FOR PLATFORM TEAMS
Codex at Enterprise Scale. Policy, the Agents SDK, and Multi-Agent Systems.
The expert track for platform and staff engineers. Architect advanced AGENTS.md instruction hierarchies, route models and tune Fast Mode, enforce enterprise configuration and security policy (Starlark rules, requirements.toml), expose Codex as an MCP server, orchestrate multi-agent systems with the OpenAI Agents SDK, and build hooks and OpenTelemetry observability for production.
Google Cloud Premier Partner
From Power Engineer to Enterprise Platform.
What You'll Build
- 🏛️
Advanced AGENTS.md Hierarchy
Discovery order, inheritance, overrides, and scalable enterprise guidance.
- 🏎️
Fast Mode & Model Routing
Route GPT models by task and tune reasoning effort for cost and performance.
- 📜
Enterprise Policy & Security
Managed settings, approval policies, Starlark .rules, and requirements.toml.
- 🔗
Codex as an MCP Server
Expose Codex itself as an MCP server and integrate enterprise systems.
- 👥
Agents SDK & Multi-Agent
Orchestrate multiple collaborating agents with the OpenAI Agents SDK.
- 📡
Hooks & Observability
Lifecycle hooks plus OpenTelemetry logging, metrics, and tracing.
Tools You'll Use
What You Will Build
Ten enterprise modules — the policy, orchestration, and observability layer that runs Codex across an organization.
ADVANCED AGENTS.md & HIERARCHY
45 MINMaster AGENTS.md discovery order, inheritance, and overrides; use AGENTS.override.md for specialized areas; and design scalable agent guidance for large enterprise repositories.
FAST MODE, MODELS & ROUTING
30 MINConfigure Fast Mode for low latency, select GPT models for implement / review / plan tasks, tune reasoning effort, and route models for cost and performance with managed context.
ADVANCED CLI, TUI & codex exec
45 MINMaster slash commands (/plan, /model, /permissions, /compact), thread branching, and structured codex exec workflows with output schemas, plus session resume and history.
ENTERPRISE CONFIG, POLICY & SECURITY
1 HR 15 MINConfigure user/project/profile/managed settings, approval and sandbox policies, trust levels, and command-validation rules with Starlark .rules and requirements.toml — validated before deployment.
CODEX AS AN MCP SERVER
45 MINConfigure external MCP servers with auth/OAuth and access controls, and expose Codex itself as an MCP server for external orchestration across enterprise systems, APIs, and SaaS.
AGENTS SDK & MULTI-AGENT ORCHESTRATION
1 HRIntegrate Codex with the OpenAI Agents SDK, design orchestrated multi-agent workflows, deploy Codex as a worker agent, and manage communication, delegation, and execution flows.
SUBAGENTS, HOOKS & OBSERVABILITY
1 HR 30 MINRun subagents with CSV fan-out and parallel review automation; package skills into plugins; and implement lifecycle hooks plus OpenTelemetry logging, metrics, and tracing for enterprise observability.
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 3 (worktrees, skills, MCP, automations) or equivalent advanced experience
- Strong command-line, Git, and configuration skills
- Codex installed with an OpenAI account
Not Required
- Prior Agents SDK or observability tooling experience
- Existing enterprise platform
This is the expert (Level 4) track. You should have Level 3 advanced Codex skills; here you scale to enterprise policy, multi-agent systems, and observability.