Quality at Speed: Shipping Production Code w/ OpenAI Codex

​A lot of development work happens inside existing codebases, where understanding context and making small, careful changes takes time.

​Join us for a hands-on exploration of OpenAI Codex and experiment with agentic coding, apply them to real development tasks, and share what works (and what doesn’t).

​​🧑‍💻What You’ll Work On

​Get hands-on time with OpenAI Codex to:

• ​Explore and understand an unfamiliar codebase

• ​Define a scoped development task, such as refactoring, feature changes, or bug fixes

• ​Plan and execute multi-step code changes

• ​Iterate on outputs using feedback and constraints

• ​Review and validate agent-generated code

​Also, explore how to better structure prompts and tasks for multi-step coding workflows, and learn practical patterns for code navigation, modification, and review.

​🗓️ Schedule

​👋 1430 – 1500: Registration & Setup

​​🎙️ 1500– 1530: Kickoff & Platform Overview

• ​Introduction to OpenAI Codex

• ​Best practices for using Codex

​​💻1530-1630: Hands-on Tinkering Session

• ​​Guided exercises using Codex

• ​Independent experimentation

​​🎤 1630 – 1700: Open Floor Discussion and Sharing + Mini Competition

​​⚠️Some Important Notes

• ​​Please bring an internet-facing laptop for the session (with command line access or a code editor like VS Code)

• ​​As this is a hands-on build session, please update your RSVP in advance if you're unable to attend. Last-minute cancellations or no-shows are strongly discouraged.

• ​Lorong AI members will be prioritised for the session. Registration is subject to approval.

​​🗣️Facilitated by Gabriel Chua (Developer Experience APAC, OpenAI) ​

​Gabriel Chua is a Developer Experience Engineer for APAC at OpenAI, where he works with developers to build, ship, and scale production AI applications. Previously, he worked as a data scientist on MLOps, LLM solutions, and applied Responsible AI, including building ML and LLM systems to combat online scams. He is active in the AI community, previously co-organizing AI Wednesdays and other practitioner-focused events, and holds degrees from the London School of Economics and MIT.

​More About the Series

​​Tinker Time is Lorong AI's hands-on meetup combining guided workshops with open collaboration time for builders to share code, troubleshoot together, and experiment with AI development techniques.

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