Codex

Build Hour: Apps in ChatGPT

Build Hour: Apps in ChatGPT

Learn how to design, build, and enhance real-time, multi-player applications within ChatGPT using the Apps SDK and Codex. This guide covers the core architecture, an AI-first development workflow, and best practices for creating valuable user experiences.

Co-Engineering: The New Era of Human-AI Collaboration

Co-Engineering: The New Era of Human-AI Collaboration

Kiriti Badam from OpenAI introduces 'co-engineering,' a new paradigm where humans and AI agents collaborate as teammates in the software development lifecycle. He outlines key principles for effectively integrating AI agents into enterprise workflows, focusing on context management, security, and iterative improvement.

Getting started with Codex

Getting started with Codex

A step-by-step walkthrough on getting started with OpenAI's Codex. This guide covers installation of the CLI and VS Code extension, configuration using `agents.md` and `config.toml`, effective prompting patterns, and advanced workflows like using the Model-Connectable Protocol (MCP) and the OpenAI Agents SDK for programmatic automation.

How Claude Code Works - Jared Zoneraich, PromptLayer

How Claude Code Works - Jared Zoneraich, PromptLayer

An unofficial deep dive into the architecture of modern coding agents like Claude Code. Jared Zoneraich of PromptLayer explains the shift towards simpler, model-centric designs, detailing the core components like the master loop, tool calling (especially `bash`), and context management strategies. The talk also contrasts Claude's philosophy with other agents like Codex, AMP, and Cursor, offering practical takeaways for building your own AI agents.

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Alexander Embiricos, product lead for OpenAI's Codex, discusses the vision of AI as a proactive software engineering teammate, the product decisions that led to its explosive 20x growth, and why the real bottleneck to AGI-level productivity is shifting from model capability to human review speed.

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Why humans are AI's biggest bottleneck (and what's coming in 2026) | Alexander Embiricos (OpenAI)

Alexander Embiricos, product lead for OpenAI's Codex, discusses the vision of AI as a proactive software engineering teammate, not just a tool. He covers the product decisions that led to Codex's 20x growth, how it enabled shipping the Sora Android app in 18 days, and why the real bottleneck to AGI-level productivity is shifting from model capability to human review speed and interaction.