I think the findings that the LLM triggers “desperation” like emotions when it about to run out of tokens in a coding session have practical implications. The tasks needs to be planned, so that they are likely to be consistent before the session runs into limits, to avoid issues like LLM starts hardcoding values from a test harnesses into UI layer to make the tests pass.