WatchPoint: Executable User Feedback for Real-World Agentic Web Development
When a professional web developer's code fails a test, they do not simply re-read the stack trace. They open the application in a browser, click buttons, inspect computed styles, and run diagnostic commands to understand what went wrong. Existing feedback mechanisms for coding agents rely on screenshots, LLM-as-a-judge scoring, or natural-language corrections, but few interact with the live application the way a developer would. We introduce WatchPoint, a simulated-user system that mimics real developer behavior by generating and executing diagnostic scripts against the running application, producing structured observations that guide the coding model's retry. Unlike prior approaches that...
| Authors | Guanqun Yang, Wei Yang, Xueqing Liu |
|---|---|
| Primary category | cs.SE |
| Published | 10 August 2026 |
| Last updated at source | 10 August 2026 |
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