Role-Based Programme
RB0854

Codex for Information Technology

Architect, Automate & Govern Advanced AI-Assisted Engineering Workflows

IMAGE REQUIRED
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in applying Codex across software engineering, application support, DevOps, platform operations, modernization, and IT automation.
  • Architect multi-agent workflows for complex development, debugging, testing, migration, code-review, and operational tasks.
  • Build reusable Codex Skills and automated engineering workflows aligned with organizational standards and IT processes.
  • Integrate Codex into repository, CI/CD, issue-management, cloud, and release-management workflows with appropriate technical controls.
  • Govern Codex through secure repository access, isolation, human approvals, auditing, validation, and enterprise operating standards.

Tools covered

OpenAI CodexCodex in ChatGPTCodex CLIIDE ExtensionCodex CloudGitHub IntegrationMulti-Agent WorkflowsWorktreesCloud EnvironmentsCode ReviewSkillsAutomationsCodex Security

Who should attend

  • Senior Software Developers
  • IT Engineers
  • Application Support Engineers
  • DevOps Engineers
  • Platform Engineers
  • Cloud Engineers
  • Site Reliability Engineers
  • System Engineers
  • Integration Engineers
  • Solution Architects
  • Technical Leads
  • Engineering Managers
  • IT Automation Professionals
  • Enterprise Application Professionals

Prerequisites & Participant Readiness

  • Strong understanding of software applications and IT environments
  • Working knowledge of at least one programming or scripting language
  • Familiarity with Git, repositories, branches, commits, and pull requests
  • Basic understanding of APIs, testing, debugging, and CI/CD processes
  • Familiarity with cloud, DevOps, or application-support workflows is beneficial
  • Previous Codex experience is helpful but not mandatory
  • Completion of shorter Codex programmes is not required

TOC Modules

Concepts
  • Understanding Codex across ChatGPT, CLI, IDE, cloud, and repository workflows
  • Understanding autonomous execution, agent context, environments, tools, and engineering boundaries
  • Evaluating tasks suitable for interactive, delegated, cloud, or automated execution
  • Designing human-in-the-loop controls for high-impact technical work
Practical activities
  • Configuring Codex against a realistic enterprise-style repository
  • Comparing local, cloud, and delegated execution approaches
  • Designing an IT Engineering Task → Agent → Environment → Validation → Approval workflow

Scenarios

Legacy Application Modernisation to Controlled Release

Legacy Application → Codex Repository Analysis → Architecture & Dependency Mapping → Multi-Agent Refactoring → Automated Tests → Security Review → CI/CD Validation → Release Readiness

Participants use Codex to analyse and modernise a complex application, coordinate parallel engineering tasks, validate behavioural compatibility, review security and quality, and prepare the application for controlled release.

Production Incident to Automated Prevention

Production Failure → Logs & Repository Investigation → Root-Cause Validation → Tested Fix → Regression Protection → CI/CD Improvement → Codex Skill / Automation → Continuous Monitoring

Participants investigate a production problem, implement and validate remediation, then convert the learning into a reusable Codex-assisted engineering workflow designed to identify or prevent similar failures.

## Current Capability Reference

Codex currently supports end-to-end engineering tasks including **feature development, complex refactoring, migrations, multi-agent parallel work, isolated worktrees, cloud environments, Skills, and scheduled Automations** across ChatGPT, app, CLI, IDE, and cloud workflows. ([OpenAI][1])

OpenAI also documents Codex controls for **repository and system access, human approvals, technical boundaries, and agent telemetry**, while Codex Security can analyse connected repositories, validate potential vulnerabilities in isolated environments, and propose reviewable fixes. ([OpenAI][2])

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.