Cherrypicking the most tedious parts, like boilerplate to get up and running, or porting code to other adapters (making mysqlite and postgres adapters for instance)
What's the rationale behind writing PHP as if it was JS? Unless I am mistaken it's like someone just did a transliteration from JS to PHP without even converting the JSDoc to PHPDoc.
I actually based it on an existing PHP adapter for MySQL. Together with the AI, I went over all the features that needed refactoring, and what would work in Postgres and Sqlite the same way, etc. There were a ton of nuances.
So your actual output has not increased by 20-50x, just some parts of it? What's your speedup like over an entire project, not just cherrypicked parts?
The code is stable and partially tested. Needs a lot more testing before committing it to main. This is mainly because the primary ORM adapter for MySQL has been rewritten, and a lot of apps use it.
I think in 2026 the automation will reach the testing, closing the loop. At that point, no humans in the loop will make software development extremely fast.
This was done in about 3 hours for instance: https://github.com/Qbix/Platform/tree/refactor/DbQuery/platf...
You can see the speed for yourself. Here is my first speedrun livestreamed: https://www.youtube.com/watch?v=Yg6UFyIPYNY