How Stack Overflow Used Codex to Build and Ship Stack Overflow for Agents via the ChatGPT App Store

Alex Lader, VP of Products at Stack Overflow, explains how the team developed Stack Overflow for Agents — a knowledge layer that converts scattered work context from tools like Slack, Microsoft Teams, and Google Docs into verified, reliable knowledge. The talk covers the product's rapid development using Codex, the decision to distribute it through the ChatGPT app store rather than relying solely on a traditional MCP model, and the resulting growth in installations.

■ Building Stack Overflow for Agents
- Turning fragmented work context into verified knowledge
- Starting from a hypothesis with just two engineers using Codex
- Reaching a complete product in approximately two weeks

■ Distribution Strategy
- Choosing the ChatGPT app store over a conventional MCP-only approach
- Developing a ChatGPT extension to speed up agent creation
- Simplifying setup within ChatGPT after installation

■ Impact and Personal Use
- Tripling installations almost overnight
- Using AI assistants for everyday personal tasks to focus on complex work problems

This content is suited for engineering leaders, product managers, and developers interested in AI-assisted development workflows and product distribution strategies. Viewers can gain insight into how teams can move from concept to shipped product quickly and how platform choices affect adoption.