452 karma · joined April 3, 2015
dr chicken salad gmail com
Yeah ever since COVID this has really muddied the water, partially both up and down. Depending on the year combined with the type of company (large cap vs growth SaaS vs finance) you can massively swing the same exact "offer comp" into many communicated effective comps.
At some point we'll discover a mew algorithm/architecture that can actually continuously learn from its environment with limited information and still produce amazing results like us.
If you work insanely hard solving a problem, you often end up with 0 loc + an incredible amount of understanding. If you slack off all day then spend an hour writing a bunch of sloppy code, you have way more loc than someone who worked all day to refine some simple clear performant code (which is then read 500 times before it's changed, hence the time is earned back with interest).
These scenarios don't have to happen for the disincentive to still affect the work people do; there's a continuous problem from the baseline to these extremes.
Our current devices are almost unlimited.
For example, you're calling code which internally does Too().bar() and you want to advance your time mock after it's called.