However, for those who have to read 2000 lines of code every single hour, (2000 is exaggeration. But at the end of the PR, it adds up to be 2000.)
1. how are you managing the mental bandwidth?
2. How are you verifying these code and signing them off?
3. Any tips, tricks, ideas that will keep us relevant here?
The biggest concern is understanding the maths and research code behind it. The shitty abstraction and duplication just puts off reading the code.
Regarding context collapse, the model doesn't have any idea of across different sessions. The token inefficiency is off the charts.
4. The problem is that what are we going to do about this token inefficiency? I find myself rewriting same instruction because the fix from last patch broke the system so this patch it needs to write a new fix, then proceed with feature implementation. The same command, function, calls, doesn't work across two session.
5. TDD is not going to help when half of the tests are meaningless?
tldr; Problem is not that we can code by hand, problem is there is no way to code this sheer volume (feature or design, sometimes entire product) by hand in the amount of time that we have. That is the problem.
blinkbat•36m ago
if ai generated the code, ai can review it. I can review perhaps pieces that are deemed priority. manual and automated testing are both required.
for the rest, please number your Qs so they're easy to address.
throwaway1183•24m ago