I've seen people build great software but fail to evolve it.
All the lessons from agile, clean code, TDD and testable architectures, CI/CD, DevOps are really about building software that can evolve, yet most of those get ignored from time to time due to cost (frequently called time) pressures.
GenAI stresses this loop even more, and no human can effectively deal with the level of output you need to fit in to continue effectively shipping. This can only mean more bugs rather than fewer bugs.
Yes, in a well executed project, LLM agents can bring immediate value and find and fix bugs: because the system has the good feedback loop built in. As soon as you lose that (over shorter time with LLMs than with humans), it starts getting exponentially worse.
And this is all even before you stop and think if you are even building the right thing.
No one at any company has ever understood every bit of the stack they ship; see all the bugs AI is finding in all the frameworks and libs we been shipping this whole time; oh yeah we sure knew what we were shipping.
git pull [email protected]:allofit/allthethings.git engineering patterns is what created this mess to begin with