The T-Block system is connected to the environment, and everything is working perfectly. But what if a user travels to an area with no internet tomorrow, or if Google's API suddenly crashes?
If we let the current AI call it a day at this point, the page might show a full blank screen or get stuck in an infinite loading loop should one of these low-probability events occur. This is absolutely unacceptable for a top-tier system.
1. Initiating a Chaos Engineering Drill
We need to give the large model a challenging instruction:
"To validate our frontend's usability, I need you to add a UI-level assertion. In the current Playwright file, add a new test case: use your previous mock setup to intercept and deliberately force the global
google/syncendpoint to return an HTTP 500 Internal Server Error, a catastrophic server-level failure.I require that in this doomsday scenario, our system's frontend can accurately catch the error and render a fallback component in the exact center of the main area, containing the red-boxed text [Enable Offline Mode Now]! Please complete this entire flow."
2. Completing the Graceful Degradation Defense
Upon receiving the command, the Agent won't throw an error. It will:
- Establish a
route.fulfill({ status: 500 ... }). - Then, due to the ironclad rule of red-green testing, it will have to go back and write the React component layer.
- It will add an
ErrorBoundaryand the architecture for the offline fallback button. - It won't "surrender" until the test passes (turns green).
After this process, your project will have an incredibly robust survival capability before it goes live.