Tool or Technology
TT0154

Codex Foundations

Build, Review & Ship Code with AI

Codex
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using Codex as an AI coding agent across desktop, IDE, terminal, and cloud development environments.
  • Apply structured task instructions and codebase context to generate, modify, explain, and refactor application code effectively.
  • Use Codex for debugging, test generation, code review, and verification of software changes.
  • Delegate suitable development activities to local or cloud Codex tasks while maintaining developer oversight.
  • Apply secure execution, permission, validation, and human-review practices before integrating AI-generated changes.

Technology covered

OpenAI CodexCodex Desktop AppCodex IDE ExtensionCodex CLICodex Cloud TasksCode ReviewGit WorkflowsLocal Sandbox & Permissions

Who should attend

  • Software Developers
  • Frontend Developers
  • Backend Developers
  • Full-Stack Developers
  • Application Developers
  • Software Engineers
  • QA & Test Automation Engineers
  • DevOps Engineers
  • Technical Leads
  • Junior & Associate Developers
  • Engineering Productivity Teams

Prerequisites & Participant Readiness

  • Basic programming knowledge in at least one programming language
  • Familiarity with functions, classes, files, dependencies, and common software-development concepts
  • Basic experience using an IDE or code editor
  • Basic familiarity with Git and source-code repositories
  • Basic command-line knowledge is helpful for Codex CLI activities
  • No previous Codex experience required

TOC Modules

Concepts
  • Understanding Generative AI and coding agents in the software-development lifecycle
  • Understanding Codex as an AI agent for writing, reviewing, and shipping code
  • Exploring Codex across the desktop app, IDE extension, CLI, and cloud
  • Understanding conversational assistance versus delegated agentic tasks
  • Understanding developer accountability for AI-generated changes
Practical activities
  • Exploring a development project with Codex
  • Asking Codex to explain a simple project or code component
  • Completing a guided code modification using Codex

Scenarios

Feature Requirement to Tested Implementation

Business Requirement → Repository Analysis → Codex Plan → Multi-File Development → Automated Tests → Developer Review → Integration-Ready Feature

Participants use Codex to understand an existing application, identify impacted components, implement a requested feature, generate relevant tests, and prepare the changes for human review.

Software Defect to Verified Resolution

Bug Report → Codebase Investigation → Root-Cause Analysis → Codex Fix → Regression Tests → Code Review → Verified Resolution

Participants use Codex to investigate a software defect, identify its likely source, create and test a suitable correction, and review the final changes before integration.

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