Tool or Technology
TT0153

Codex Unlocked

Build, Debug & Review Code with AI Agents

Codex
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand Codex as an AI coding agent for writing, reviewing, debugging, testing, and shipping software.
  • Explore how Codex works with source repositories, files, commands, tests, and development context.
  • Develop awareness of effective task instructions and context-setting techniques for agentic software-development work.
  • Experience practical Codex workflows for code understanding, modification, debugging, testing, and review.
  • Recognise responsible practices related to code validation, permissions, sandboxing, security, and developer oversight.

Technology covered

OpenAI CodexCodex in ChatGPTCodex IDE ExtensionCodex CLICode ReviewTest ExecutionRepository Context

Who should attend

  • Software Developers
  • Software Engineers
  • Frontend Developers
  • Backend Developers
  • Full-Stack Developers
  • Application Developers
  • QA & Test Automation Engineers
  • DevOps & Platform Engineers
  • Technical Leads
  • Solution & Application Architects
  • Engineering Team Members

Prerequisites & Participant Readiness

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

TOC Modules

Concepts
  • Understanding Generative AI and coding agents in modern software engineering
  • Understanding Codex as an AI agent for writing, reviewing, and shipping code
  • Exploring Codex across ChatGPT, IDE extensions, and the command line
  • Understanding the difference between code completion and agentic task execution
  • Identifying suitable use cases such as feature development, debugging, refactoring, testing, and code review
Practical activities
  • Exploring the Codex workspace using a sample project
  • Giving Codex a simple coding task and reviewing its proposed approach

Scenarios

Feature Request to Tested Code Change

Feature Requirement → Repository Inspection → Codex Implementation → Automated Tests → Code Review → Developer Validation

Participants use Codex to understand an existing codebase, implement a small feature, run relevant tests, and review the generated changes before accepting them, improving development productivity.

Software Defect to Validated Fix

Bug Report → Code & Error Context → Codex Investigation → Suggested Fix → Test Execution → Review → Validated Resolution

Participants use Codex to investigate a software defect, identify a likely cause, implement a targeted correction, and verify the result through testing and developer review.

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Instructor-ledVirtualHybrid

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