alt Hacker News> we're now able to accumulate technical debt faster than ever
LLM's just enable you to speed run your way into a legacy code base.
> without even building the institutional knowable needed to keep it sane
Does feature XXX move the needle? Did you gain more business or retain existing business because a feature exits? Has AI tooling helped your product team move the needle? No? Why not?
How easy is it to remove the feature that NO ONE uses is a question no one is asking. How many people got promoted for "removing the most garbage" from the system?
We, as an industry, might need to have a candid conversation about what we're doing and how we do it.
Remove a feature no one uses:
How do you properly measure this? Do you setup a database that monitors when every feature is used? Is the feature only used once a year for some reason? Is the feature only used on some rare data that is uncommon but still can occur?
And that really applies to something fully in your control. In systems controlled by customers its far harder.