Nextdoor engineers use Codex to speed up product development
Codex helps Nextdoor engineers focus on product outcomes, not implementation details See how it speeds end-to-end builds, debugging, and faster feature delivery
Nextdoor says its engineering team is using Codex to shift from focusing on implementation details to focusing on product outcomes. Cory Dolphin, the company’s head of engineering, says the tool helps engineers work more end to end and spend more time deciding what to build rather than how to build it.
The company, which serves more than 110 million users in 11 countries, says Codex has helped individual engineers deliver features across mobile, frontend, and backend without as much crossteam coordination. One example was a serviceprovider map for Opportunity Alerts, where a single engineer was able to build the feature from start to finish.
Nextdoor also uses Codex to investigate difficult technical problems, including issues in embedded Rust systems, Kubernetes startup failures, and data analysis tasks. Dolphin says newer GPT models have improved the tool’s persistence and debugging ability, making development work faster and shifting the main bottleneck toward product strategy and deciding what to prioritize next.