This is already the case for many startups. In fact, the figure might be closer to 100%. The work shifts to requirements analysis, high-level specifications, and final review instead (after AI code review).
Yeah I'm working on one of those now that a 3rd-party vendor cranked out for us. I spent all day ripping out an endpoint that did 98% of what another endpoint did and should never have existed. I also ripped out 80 lines of code that looked like this:
const sqlStatement = (!params.mostRecentOnly) ? {giant SQL statement} : {identical giant SQL statement + 'LIMIT 1' at the end}
AI never met a problem that can't be solved with more code. Need some data in a slightly different structure? Don't try to modify an existing endpoint, just build a new one! Need to access a field that's buried in a JSON object in the database? Just create a new column, but don't bother removing the field from the JSON object. The more sources of truth, the merrier! When it comes time to update, just write more code to update the field everywhere it lives!
Factor out the extra sources of truth you say? Good luck scanning the most verbose front-end you've ever seen to make sure nothing is looking at the source you want to remove. In the beginning of big projects, you have to be absolutely ruthless about keeping complexity down so it doesn't get out of control later. AI is terrible at keeping complexity down.
My goal is to halve the lines of code from what the vendor turned over to us. One baby step at a time.
> many startups
which startups? I'm genuinely curious
And not only startups...
The first link states literally
"AI will take over almost all the work of software engineers (SWEs) end - to - end in just 6 - 12 months!"
What you describe is >50% of the job of SWEs, even when they write all code by hand.
Are you saying that "for many start-ups", this isn't done by SWE's but by some other career type or are you implying that it's just the code written (and first review) is replaced by AI?