I have started using the most token-intensive model I can find and asking for complicated tasks (rewrite this large codebase, review the resulting code, etc.)

The agent will churn in a loop for a good 15-20 minutes and make the leaderboard number go up. The result is verbose and useless but it satisfies the metrics from leadership.

> Our token usage and number of lines changed will affect our performance review this year.

The AI-era equivalent of that old Dilbert strip about rewarding developers directly for fixing bugs ("I'm gonna write me a new mini-van this afternoon!") just substitute intentional bug creation with setting up a simple agent loop to burn tokens on random unnecessary refactoring.

Could you both name and shame?