Cover Image for Hands-On Coding with OpenAI Codex: Build 3 End-to-End Projects
Cover Image for Hands-On Coding with OpenAI Codex: Build 3 End-to-End Projects
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Hands-On Coding with OpenAI Codex: Build 3 End-to-End Projects

Virtual
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About Event

Most developers use AI coding tools for code snippets, bug fixes and isolated tasks. This live, hands-on OpenAI Codex workshop shows you how to use AI coding agents across complete software projects—from planning and implementation to debugging, testing, review and delivery.

Led by Alexandru Constantin and Altaf Rehmani, this advanced workshop is designed for developers who want to move beyond one-off prompting and learn how to build software with Codex in a structured, controlled and repeatable way.

What will you build in this OpenAI Codex workshop?

You will work through three connected, end-to-end projects:

Project 1: Build and ship a small app

Start with a project brief and use Codex to plan, implement and ship a working application with a clear structure and maintainable code.

Project 2: Debug and refactor the app

Return to the application, identify problems, refactor the code and strengthen the workflow with testing, regression safeguards and structured review.

Project 3: Orchestrate a team of AI agents

Use skills, subagents and connected context to coordinate multiple agents across exploration, implementation, testing and review.

Together, these projects show you how to use Codex at project scale rather than only for individual coding tasks.

What will you learn?

By the end of this OpenAI Codex workshop, you will be able to:

  • Use Codex across planning, coding, debugging, testing, review and delivery

  • Break complex software projects into controlled phases

  • Build and reuse skills for project-level workflows

  • Use subagents for parallel work and scoped problem-solving

  • Coordinate multiple AI agents across larger development tasks

  • Apply code-review agents and adversarial review techniques

  • Debug and harden applications with tests and regression safeguards

  • Connect external tools and project context to Codex workflows

  • Choose between local, IDE, CLI and cloud execution

  • Ship faster without losing quality, control or maintainability

Meet Your Instructors

Altaf Rehmani

Gen AI Ambassador | Digital Solutions Architect

Altaf is a seasoned technology leader with over 20 years of experience driving digital transformation and operational excellence in Banking and Financial Services. His expertise in service delivery and risk management, combined with a passion for Generative AI, positions him to steer large-scale operations toward lasting impact across the APAC region.

Alexandru Constantin

Founder | Codex Ambassador

Alex is a software and machine learning engineer, entrepreneur, and OpenAI Codex Ambassador in Romania. He is the co-founder of stock.estate, Romania’s first and largest real estate crowd-lending platform, and supports the developer community as an event organizer and builder advocate through Formidable Builders. His passion lies in building technology and products that deliver meaningful real-world value.

Why attend this Codex workshop?

The challenge with AI-assisted development is not generating more code. It is controlling how that code is planned, implemented, tested and reviewed.

This workshop teaches you how to make Codex work as an engineering collaborator rather than an unpredictable code generator. You will learn practical workflows for building larger applications safely, reviewing AI-generated changes and creating repeatable systems your team can reuse.

What is included?

✔ Live, hands-on instruction
✔ Three end-to-end Codex projects
✔ Workflow templates and reusable systems
✔ Practical implementation patterns
✔ Full workshop recording
✔ Certificate of completion

Who is this workshop for?

This workshop is ideal for:

  • Software developers already using Codex, Copilot, Claude, Cursor or similar AI coding tools

  • Full-stack and backend developers exploring agentic coding

  • Senior developers, staff engineers and technical leads

  • Indie hackers and technical founders

  • Engineering teams standardising AI-assisted development workflows

  • Developers who want to move from task-level prompting to project-level orchestration

Prerequisites

You should be comfortable building software in at least one programming language.

You will also need:

  • A ChatGPT account with Codex access

  • Optionally, Visual Studio Code or the Codex CLI for the exercises

  • Basic familiarity with AI coding tools

Prior experience with Codex is useful, but not required.

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Presented by
Packt Publishing
1 Going