Expo showcases agentic bug fixing workflow on simulators
Expo shared a new automated workflow where an AI agent receives user feedback, reproduces the issue, writes the fix, verifies it by running it on a simulator, and opens a pull request. This end-to-end automation allows developers to stay focused on building the product while AI handles the routine busywork of bug fixing.
Combining AI agents with execution environments like Expo's simulators is a game-changer for reliable automated coding, as it grounds the AI's output in real-world testing rather than just static generation. It uses actual device simulators to verify AI-generated fixes, automates the entire pipeline from user feedback to pull request, and shifts developer focus from routine bug fixing to core product development.
DISCOVERED
1h ago
2026-09-18
PUBLISHED
1h ago
2026-09-18
RELEVANCE
AUTHOR
expo
