1. AI accelerates technical debt and creates unmaintainable spaghetti code
"AI makes projects with weak engineering culture fail much faster." — whywhywhywhy
"If you pull the branch and test it, you'll probably get something somewhat functional. So what do they do? They keep going... until the project reaches a point where no one knows how anything works." — whywhywhywhy
2. Bad engineers become force multipliers
"The most egregious of these cases for me is often long tenured engineers who have lost interest in the craft, creating a dangerous combination of having enough merit to ship but not enough interest to make what they ship good." — Syntaf
"With AI, 'bad' engineers can now amplify their 'bad' engineering x10 across the organization." — mrbombastic
3. Management and review overhead explode
"You deploy an application that ostensibly has the desired capabilities but it fails at scale, or the architecture is not extensible to add new capabilities or fix bugs. Those are expensive mistakes and in safety‑critical domains could be deadly." — flatline
"Fixing it would require such a colossal amount of work that it would be impossible to even start justifying it to anyone in management." — florianherrengt
4. Threat to middle‑class engineering jobs and wages
"I think the field is basically over as a long term career unless you are truly exceptional." — mikert89
"Wages are certainly going down for most software roles." — mikert89
5. Human stewardship is still required; the tool is not a moat
"The ability to operate the tool isn’t much of a moat if everyone else has access to the same tool." — florianherrengt
"If you don’t understand the change yourself … you can’t approve it." — florianherrengt
6. The future will hinge on design, architecture, and broader societal impact
"The next decade of software consulting will