It’s a whole new era of working with AI. This year, we introduced new models, tools, and agents to help you build faster, take on more ambitious projects, and bring your products to more people.
Opening Keynote
Be there as OpenAI unveils what’s next. DevDay opens with a keynote packed with announcements—and new possibilities for what you can build with AI.
ClawLabs: Building Open Source Together
See how agents help small open-source teams build together. Explore workflows for sharing context across projects and working with contributors, with live demos of cloud sessions and computer use.
Build What’s Next on the ChatGPT Platform with Plugins
Bring your tools, knowledge, and interfaces into ChatGPT and Codex with plugin extensions. Through live demos, learn how to turn an idea into a useful experience, share it, and reach new users.
What Will You Build With Coding Agents That Don’t Quit?
Learn from a Codex run that spent over 1,000 hours keeping builds and tests passing. Explore how to choose recurring tasks, improve feedback, manage token budgets, and decide when engineers should step in.
Harness-as-a-Service: Building with the Agents API
Build with the Codex harness through the Agents API. Learn how to run agents in your environment, keep long-running tasks going, and understand which infrastructure OpenAI manages.
Sites and the Next Generation of Web Apps
Turn an idea into an interactive web experience with Astra, ChatGPT Sites, and WebMCP. Learn how to build new kinds of interfaces alongside your colleagues and agents.
Codex Has Left The Laptop
Explore what’s new in Codex across the CLI, app, and web. Through live demos, see how to move from delegating individual tasks to letting Codex tackle entire problems and goals.
From Single Player to Multiplayer with Codex
Follow a 2am outage from the first Slack message to a reviewed fix. See how voice, Appshots, plugins, and meeting notes help a persistent personal agent investigate and keep the team informed.
What Comes After Loops? A Deep Dive Into Agentic Architecture
Trace the evolution from simple agent loops to collaborating agents. Explore the design choices and model advances behind that shift, and take a closer look at what comes next.
How OpenAI Puts ChatGPT to Work
See how OpenAI’s teams use ChatGPT to manage launches, research competitors, and turn expertise into tools. Take practical ideas back to your own work.
Codex Security: From Vulnerability to Verified Fix
Find and fix vulnerabilities with OpenAI’s cyber models and open-source CLI and SDK. Learn to scan large codebases, catch issues in pull requests, and verify fixes, drawing on OpenAI’s own security work.
Building with GPT-Live and Image Generation
See GPT‑Live brainstorm, play games, and create images while coordinating work in the background. Learn to add voice to agents and design for delegation, latency, interruptions, and changing requests.
Stack Overflow - From Idea to Product
See how small teams at Stack Overflow used Codex to build Stack Overflow for Agents and reimagine Stack Internal. Take away lessons for accelerating R&D and bringing new products to market.
Higgsfield - Building Agents That Provision Their Own Compute
Explore how Higgsfield agents choose models and provision their own compute. Learn when to use dedicated GPUs or hosted models, how to deliver predictable throughput, and where the approach can fail.
Stop Overpaying for Intelligence
Cut AI costs while preserving quality. Learn to measure cost per completed task, choose models and reasoning effort, and use prompt caching, Programmatic Tool Calling, and the Batch API.
Qodo - The Last Human Code Review
See how Qodo uses OpenAI to review AI-generated code. Explore an adversarial reviewer that challenges coding agents’ assumptions and output, and learn when model confidence still needs human judgment.