I just YOLO it. Just don't give it access to anything that can produce permanent consequences. The cost of a mistake is maybe one hour of fixing it. If what it produced is 80% right and 20% wrong, by letting it run overnight, you've gotten 80% of the work done that otherwise wouldn't have happened.
If you have work building on top of other work, your "20% wrong" quickly turn into "80% wrong".
If feature B depends on implementation of feature A, and feature A happens to be on the 20% wrong side, then feature B will be wrong too, regardless of whether you happen to have better luck with it being implemented on the 80% right side. It'll simply be built on a broken foundation. It WOULD have been correct if the foundation was right, but it wasn't.
This is actually very common in software development, where you rarely have stuff happening in isolation. A lot of features deliberately touch each other, build on top of each other, and even more so when you factor in "accidential" overlap due to unclean technical boundaries (in spaghetti code, everything touches everything).
Yeah this is why you have your top guy (Fable/astra) split everything into discrete tasks and go one layer at once. Get 10 subagents working on parallelized tasks that have no dependencies on each other through the night.
The only thing AI has changed is that it has dropped both: the cost of attack and the cost of defense. Nothing in the game has materially changed; the game has just sped up.
for example the barrier to being a skiddie is basically gone, and low-skill would be hackers can hit very hard.
to develop a CVE into a KEV in 2017 might take 2-3 months with a skilled team of serious security engineers; now my intern can get into police radios without knowing anything about the underlaying technology, essentially on a whim.
any random tier 1 IT drone who can define a VLAN can potentially hit as hard as that team of security engineers now
That is the direct effect of reduced cost. Jevon's paradox type effect: cost goes down demand goes up. You can AI-check so many more things that would be very time consuming earlier.
What is "quality"? What is the objective test of it?
I have made my definition clear: if people are choosing a product consistently, it must be of some value to them. What is your definition?
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